Jobs

Jobs in Bioinformatics, Genomics and Life Science

Job Alerts in this week (February , 2019)


Update on February 18, 2019


Computational Biologist - Genomic Medicine

The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public.

Ideal candidate for the Computational Biologist position will have working experience in mining genomic and clinical data. Experience in pattern recognition/machine learning, mathematical/statistical modeling, network analysis and experience in data integration, data mining, NGS data analysis (mutations, structural variations, and expression). Proficiency in at least one programming language such as R, C/C++, Perl, Python, or JAVA.

KEY FUNCTIONS

· Extract and integrate internal and public genomic and clinical data to produce standardized data sets that can be distributed within M. D. Andersons' computing environment and used by clinicians and researchers.

· Develop software modules to regularly perform standard data analysis routines in an automated fashion and provide visualization tools for clinicians and researchers to explore the results.

· Systematically explore and mine multi-dimensional data to validate experimental findings or formulate hypothesis to provide directions of further studies.

· Identify issues of practical or theoretical importance and drive to solutions through innovative mathematical/computational approaches.

· Evaluate existing algorithms and develop new algorithms and user friendly tools that can be deployed to MDACC or larger research communities.

· Work closely with clinicians and biologists to provide customized bioinformatics/computational support throughout their studies.

· Work with bioinformaticians, IT personnel, and other researchers to respond to new technologies.

For detail click here


Postdoctoral Research Fellow-Clinical Genomics

A promising approach in human genetic research and drug discovery is the study of human diseases and their treatments by pairing data in Electronic Health Records (EHR) with high-resolution genetic data. Not only we could understand how the manifestations of human diseases and the subtypes are associated with the genetic mutations, we are now in a position to leverage such resources to discover novel drug targets and predictive biomarkers for better patient response. In this position, you will have the opportunity to join our Data Science team at Roche Innovation Center New York and mine our large collections of real-world and in-house integrated clinical and genomics data.

You will investigate molecular mechanisms underlying cancer biology, drug response and resistance by exploring data resources such as Flatiron-FMI data marts where real world phenotypes and the deep genetic characterizations of patients are readily available and linked. You will work with both experimental and computational biologists, and use your own creative mind in the discovery of next generation medicine by applying your biological knowledge and advanced analytical skills, e.g., statistics, machine learning, and biological pathway analysis.

Requirements

  • Ph.D. in biology- or data-related sciences such as Molecular Biology, Biomedicine, Computational Biology, Bioinformatics, Data Science.
  • Knowledge and experience in cancer immunology and genetics are highly desirable. Additional knowledge and experience in epidemiology or analysis of EHR data is a plus.
  • Strong quantitative analytical skills in statistics, machine learning and predictive modeling.
  • Proficient in analysis programming skills (e.g. R or Python) and SQL.
  • A creative self-motivated individual with excellent communication skills.

Job-ID 201809-122701

For detail click here


Posted on February 18, 2019

Res Post Doc Fellow- human genomics

A post-doctoral position in human genomics is immediately available. Research in our group focuses on the development of bioinformatics methods to analyze short-read and long-read sequencing data, and to enable the implementation of genomic medicine in clinical settings.

The successful candidate will work on the methods and applications of novel informatics approaches to handle unmet challenges in genome and exome sequencing data. Example projects include the analysis of large-scale Illumina genome sequencing data, the establishment of automated pipelines for Nanopore sequencing data, the clinical interpretation of genetic mutations in rare diseases, the identification of genetic biomarkers for drug efficacy and adverse events, and the discovery of somatic/expression biomarkers for certain categories of diseases.

The candidate will work in a highly interdisciplinary and collaborative academic environment including the Wang Genomics Lab, the Center for Cellular and Molecular Therapeutics, the Department of Biomedical Informatics at CHOP as well as the Department of Pathology, Department of Genetics and Institute for Biomedical Informatics at the University of Pennsylvania.

A suitable candidate should have a doctoral degree in genomics-related fields, such as genetics, bioinformatics, computational biology, biostatistics or computer science, with strong prior experience in human genomics, such as published work in finding human disease genes through genomic approaches, familiarity with computational tools/pipelines for variant detection and annotation, or established web servers for genomic data analysis.

For detail click here


Postdoctoral Associate position- Cancer Epigenetics

A Postdoctoral Associate position is available in the lab of Dr. Tao Wu in the Department of Molecular & Human Genetics at Baylor College of Medicine (https://www.bcm.edu/research/labs/tao-wu). The Wu lab focuses on the epigenetic mechanisms of cancer therapeutic resistance; in particular, the functional mechanisms of novel DNA methylation (6mA). We seek to decipher the epigenetic driver mechanisms underlying cancer treatment resistance, to define new biomarkers, and to develop new approaches to overcome the therapeutic resistance of cancer. We apply multiple wet lab techniques, as well as dry lab genomic profiling and bioinformatics approaches in cancer models.

We are seeking a Postdoctoral Associate whose research will focus on bioinformatics. This position will require developing analytical approaches to solve computational scripts and analytical code, genomic data analysis of sequencing data sets, and generating statistical figures. Experience in genomic profiling data analysis, cancer epigenetics, and/or bioinformatics analysis preferred.

Ideal candidates should be able to creatively conceive the study, critically design experiments and insightfully analyze genomic data. Applicants should be self-motivated, open-minded, detail-oriented and collaborative. Expertise in one (or more) of the following research areas is required: molecular and cell biology, genetics, genomics, bioinformatics, and systems biology studies.

For detail click here


Posted on February 15, 2019

Postdoctoral Fellow in Mass Spectrometry Based Single Cell Proteomics

Division Division of Physiological Chemistry I stems from the laboratory of Jöns Jacob Berzelius (1779-1848), the great Swedish scientist known for a variety of achievements. These include the discovery, together with his co-workers, of six new elements. Berzelius, the first Chemistry professor at KI, was an avid proponent of mass measurements, having published in 1818 a table of accurate weights of 45 out of the 49 known elements. Continuing Berzelius’ tradition, the Division bases its research on mass spectrometry. It also hosts two core facilities that perform proteomics analyses. One of the focal points of Division’s research is method development for proteomics.

Duties The candidate will participate in research concerning application in developments of single cell proteomics, which is an emerging area using bottom up mass spectrometry based proteomics to characterize protein profiles of single cells. The goal is to develop and establish a robust analytical workflow that can be applied to numerous biological problems, in which cellular heterogeneity plays a center role, such as cancer progression and cell differentiation. The successful candidate will contribute to this ground breaking research with experimental developments, performing and designing data analysis as well as presenting results in forms of scientific publications and presentations.

Entry requirements
A person is eligible for a position as postdoctoral research fellow if he or she has obtained a PhD no more than four years before the last date of employment as postdoc. The ideal candidate will have proven experience in analytical chemistry, proteomics and mass spectrometry. Good knowledge of spoken and written English are absolutely required as well as strong fundamental knowledge of bioinformatics and R programming skills are desired.

Last application date 28.Feb.2019

For detail click here


PostDoc Position in Cancer Genomics

The research group of Visceral Surgery, under the guidance of Dr. Salvatore Piscuoglio, is based at the Department of Biomedicine, Basel, Switzerland. The main focus of the laboratory is the use of multi-omics approaches to identify and characterize biomarkers, and to understand the important genetic alterations and their interaction that contribute to the development of cancer. Our group is seeking a highly motivated post-doctoral scientist to join our team of bioinformaticians, molecular biologists, pathologists and surgery fellows.

The candidate will have the opportunity to develop, apply and optimize cutting-edge bioinformatics methods, in particular those for massively parallel sequencing, to further our understanding of cancer biology. The candidate will have the flexibility to develop and lead their own projects within the scope of the areas of interest within the laboratory. The candidate will also assist in the supervision of PhD students.

Your profile

  • PhD in genetics, biostatistics, bioinformatics, computational biology or related discipline
  • Proven experience with next-generation sequencing analysis and genomics
  • Strong computational and/or statistical skills.
  • Understanding of cancer biology and experience with cancer genomics would be highly desirable.
  • Ability to work independently, being a team player and ability to collaborate with researchers from various backgrounds
  • Good organizational skills; demonstrated ability to handle multiple projects in parallel

For detail click here


Posted on February 13, 2019

Postdoctoral Research Fellow Bioinformatics

Genentech seeks a highly motivated scientist to pursue post-doctoral research interpreting genomic, transcriptomic, and other molecular data as they relate patients’ clinic outcomes, in order to contribute to our understanding of the fundamental factors governing response or resistance to targeted- and immuno-cancer therapies. Ideally, the post-doctoral fellow will generate hypotheses from data analytics and validate the hypotheses with cell or animal models in the laboratory, to provide novel mechanistic insights and/or to formulate a rationale for future clinical studies.

Candidates must have a Ph.D. in bioinformatics, computational biology, statistics, or computer science, with experiences in applied molecular biology research. Alternatively, candidates may have a Ph.D. in cell/molecular biology, immunology, oncology or related field and have picked up computational skills in the course of their research; in this case, candidates should have a publication record that demonstrates the extent of their computational skills. In both cases, candidates must have a record of innovative scientific accomplishments as evidenced by lead-author publications in peer-reviewed journals. Candidates should also have strong communication skills and enjoy working collaboratively with both bench scientists and data scientists.

For detail click here


Postdoc Position in Systems Biology of Metabolism

The research group “Dynamic Control of Metabolic Networks” is looking for a postdoctoral researcher to start in the middle of 2019. We are a research group at the Max Planck Institute for Terrestrial Microbiology and at the LOEWE center for synthetic microbiology (SYNMIKRO) in Marburg, Germany. Our group investigates regulation of metabolic networks, and how this regulation affects overproduction strains in biotechnology. Please see https://www.mpi-marburg.mpg.de/link for more information about our research.

Currently we are looking for a highly motivated and ambitious individual to join the MapMe project, which is funded by an ERC Starting Grant. The project aims at mapping metabolic regulation and developing novel metabolic engineering concepts. Current metabolic engineering approaches modify genes with known roles in the production pathway of interest. In the project we will identify genes that are unrelated to the production pathway but substantially impact productivity. To date there are no methods to predict such distal genes and their effects on a rational basis.

The successful candidate should have a PhD in (bio-)chemical engineering, molecular biology, (bio-)physics, bioinformatics or a related field and have a strong commitment to science. We are particularly interested in applicants that have experience in metabolomics, metabolic engineering and/or modelling of metabolic networks.

For detail click here


Posted on February 11, 2019

Postdoc in the area of bioinformatics /statistical genomics

We are looking for an enthusiastic researcher, with a clear interest in bioinformatics, animal breeding and quantitative genetics. The project addresses fundamental questions related to adaptation to specific traits of the genomes of traditional cattle breeds in three African and three European countries. Within the project we will collect and analyse extensive phenotypic and whole genome sequence data. The data will be used for GWAS and selective sweep and ROH analyses. Experience with handling large phenotypic and genomic datasets and an interest in quantitative genetic concepts is a prerequisite.

We ask:

Candidates should have a PhD in one of the following subjects: Bioinformatics with strong emphasis on the bio site and /or conservation genetics. The candidate should have a strong track record as a PhD student and/or postdoc and show a keen and independent intellect. Establish and maintain good working relationships with key stakeholders and research collaborators to ensure relevance and quality of research outputs.

Further preferred skills:

• Be able to handle large data sets (Bioinformatics skills; scripting, design analysis pipelines,

• Interest in quantitative genetic concepts (such as GWAS) and biodiversity.

• Good organizational and excellent communication skills (both spoken and written in English)

• Ability to work in a team of diverse scientists and multidisciplinary teams.

• Scientific track record with publications.

For detail click here


Postdoc Microbial Bioinformatics

The successful candidate will work in the research area “Systemic Microbiology” of the Institute of Bio- and Geosciences 1 – Biotechnology (IBG-1) of Forschungszentrum Jülich. The research area “Systemic Microbiology” of IBG-1 performs research in the field of molecular and applied microbiology. Major aims are a systemic molecular understanding of selected microbial cell factories and the development of microbes as biocatalysts for production of industrially or pharmaceutically relevant products from renewable carbon sources using metabolic engineering, synthetic biology, and high-throughput screening technologies.

Your Job:

  • integrative analysis of large DNA, RNA, and protein datasets, which are generated using state-of-the-art sequencing techniques (DNA-Seq, RNA-Seq, ChIP-Seq, LC-MS/MS)
  • application of machine learning and artificial intelligence
  • working with experimentalists to validate and address resulting findings
  • support of coworkers in using all kinds of bioinformatics software

Your Profile:

  • PhD or equivalent in bioinformatics, microbiology, data sciences, genomics, engineering, or related fields
  • Strong programming skills in at least one scripting language (Python, Perl, etc.) and R
  • Experience in analyzing large-scale biological data sets, NGS data, etc. is a strong plus
  • Strong willingness and ability to cooperate with bench-work researchers
  • Basic/good understanding of and interest in molecular microbiology
  • High motivation to successfully complete scientific projects
  • Candidates must be kind, efficient and reliable team players
  • Strong English writing and communication skills

For detail click here


Posted on February 08, 2019

NTT Faculty Opportunity - Bioinformatics

The Fels Institute for Cancer Research & Molecular Biology at the Lewis Katz School of Medicine at Temple University invites applications for a non-tenure track faculty appointment at the level of Assistant Professor. The Fels Institute for Cancer Research & Molecular Biology has a vibrant and interdisciplinary research program focused on understanding the molecular mechanisms of various human diseases.

The successful applicant should have a PhD and/or MD and postdoctoral research experience in the field of bioinformatics and computational biology with special focus on genomics and the regulation of gene and protein expression and modification.

The prospective candidate is expected to lead the Fels Institute bioinformatics core, which provides data analysis support for multiple laboratories. To this end, the prospective candidate is expected to have knowledge of next generation sequencing, including RNA-seq, ChIP-seq, exome sequencing, and high-throughput DNA methylation data. Of particular interest are candidates who are using cutting-edge techniques in computational biology.

For detail click here


Postdoc Position in Bioinformatics, Metagenomics and the Human Microbiome

The lab of Jeroen Raes (VIB, KU Leuven) is looking for a postdoctoral researcher in the computational analysis of microbiome data, with a particular emphasis on human-associated microbial communities in health and disease. Projects will focus on:

i) bioinformatics/statistics method development for joint host and microbiota data analysis, multi-omics and clinical data integration and/or

(ii) their application to large scale datasets generated within the Flemish Gut Flora project cohort (n>5000), in a wide range of disease cohorts as well as in international projects (e.g FP7 MetaCardis, H2020 AD-Gut).

We look for an excellent track record in (meta-)omics data analysis and strong scientific drive. We provide a stimulating and fun environment to pursue your scientific dreams.

Profile

  • PhD in bioinformatics, computational biology, datamining, biostatistics, population and/or statistical genetics, human microbiota, numerical/microbial ecology or equivalent
  • Good programming skills (perl/python/ruby/java/C++ etc, SQL, R), proficiency in Unix/Linux and cluster experience
  • A strong track record in omics data analysis (e.g. (meta)genomics, transcriptomics, proteomics, metabolomics, epigenomics, genotyping data) is a plus
  • Experience in clinical datamining/machine learning, biomarker detection is a plus

We offer

VIB-KULeuven is an exciting, interdisciplinary research institute with excellent facilities and leading research groups in e.g. gastroenterology, oncology, immunology, microbiology & virology, clinical genetics/-omics, molecular biology and translational research. The Raes lab is located on the Gasthuisberg campus of the KU Leuven (Fac. of Medicine) and has on-site robotic sample processing, high-throughput computing resources as well as next-gen sequencing facilities (mi/next/hiSeq. PacBio, oxford nanopore).

For detail click here


Posted on February 06, 2019

Research Bioinformatician

Research Bioinformatician I performs general bioinformatics analysis and software support for projects involving in omics, and interact with investigators to identify research problems, find appropriate software tools, and recognize national biological databases and online resources for omic data. The RB will manage omic data including loading and querying data from database system and public repositories and transform and merge multilevel omic data into user-friendly formats, assist in development, test, and maintenance of modular software pipelines, provide bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.

Research Bioinformatician will also work with bioinformatics faculties to determine future bioinformatics needs, and helps to develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. The Bioinformatician will demonstrate continuous self-improvement, make effective contributions to the section, and adhere to CSHS compliance plan, code of conduct, and hospital and departmental policies and procedures. He/she may serve as a preceptor for students.

EDUCATIONAL AND WORK EXPERIENCE PREFERENCES:

Thorough, demonstrated knowledge of database and biostatistical computer programs, such as SAS, Stata and Excel

Any combination of academic education, professional training or work experience, which demonstrates the ability to perform the duties required for the position.

Education and Experience requirements:
Master of Science Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics)
Certification/License:
Minimum Experience:
0-3 years in research environment. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment.
Thorough, demonstrated knowledge of database and biostatistical computer programs, such as SAS, Stata and Excel.

Postdoctoral Researcher: Osaka University Immunology Frontier Research Center Advanced Postdoc 

Immunology Frontier Research Center (IFReC) at Osaka University is recruiting for its original Postdoctoral Researcher program “Advanced Postdoc”. IFReC, the top level research center for immunology in Japan, has a team of world-recognized principal investigators using state-of-the-art facilities. Active interaction with excellent members will facilitate your productivity and achievements in your career. The center also provides information assistance in English for daily activities in IFReC. This research environment is the ideal foundation on which to base your successful career in research.

Number of positions: Postdoctoral Researcher x3

Research field: Immunology, Cell Biology, Bioinformatics and Bioimaging

Qualifications:

  • Doctorate degree
  • Less than 8 years since obtaining doctorate
  • International experience preferred

Email: ifrec-office@ifrec.osaka-u.ac.jp

For detail click here


Posted on February 04, 2019

Postdoctoral Scholar in  Bioinformatics and Computational Biology

Our lab is focused on the development and clinical validation of biomarkers for early detection, diagnosis, prognostication, and prediction of treatment response in precision cancer medicine. To achieve this goal, we employ two approaches: (1), integrate large-scale imaging and genetic data sets with clinical annotations, and (2) develop novel statistical and machine learning methods. Our work focuses on two main areas:

1.    Imaging analysis (radiologic or histopathologic data).

2.    Molecular analysis (genomic, epigenomic, or transcriptomic data).

We are a multidisciplinary team with a diverse background and yet converging theme. Our ultimate goal is to clinically translate novel biomarkers to guide selection of optimal therapy and improve outcomes for cancer patients.

The Li lab has openings for postdoctoral scholars interested in cancer biomarker development or translational research. Depending on the type of applicant, experiences with medical image analysis, bioinformatics/computational biology, machine learning, or cancer genomics/biology are desirable.

For detail click here


Bioinformatics Scientist - Center for Childhood Cancer

The Senior Bioinformatics Scientist in the Center for Childhood Cancer and Blood Diseases (http://www.nationwidechildrens.org/center-for-childhood-cancer) at The Research Institute at Nationwide Children’s Hospital will be responsible for working with laboratory-based scientists and trainees to perform computational and bioinformatic analyses, to provide training, and to develop new computational approaches. The Scientist will work with all members of the Center, including Principal Investigators, Staff Scientists, technicians, and trainees at all levels. Excellent verbal and written communication skills will be essential as the individual will work collaboratively with scientists on projects that lead to publications and presentations at professional meetings. Flexibility is also important as the Scientist will likely support wide-ranging projects of different scientific focus.

Responsibilities

  • Perform RNA-seq, ChIP-seq, and other next generation sequencing-derived downstream analysis and visualization
  • Interface and integrate with other bioinformatic/computational-biology/research informatics teams on campus
  • Evaluate and integrate community-developed and commercial bioinformatics tools
  • Develop new computational analytic tools
  • Manage center resources for storage and analysis of large datasets
  • Obtain, process, and analyze datasets from outside sources, such as NCBI Small Read Archive and individual labs and assist research teams in uploading to those databases
  • Take a lead role in our research collaborations to analyze genome sequencing data in order to identify the genetic causes of cancer
  • Assist with supervision and training of postdocs, fellows, students, and staff, for basic bioinformatic approaches
  • Author journal publications and present at professional meetings

Qualifications

Minimum Qualifications

  • Advanced degree in Bioinformatics, Computational Biology, or Biology, Molecular Biology, etc., with postdoctoral bioinformatic experience
  • Two + years experience in computational biology or bioinformatics
  • Experience with UNIX/LINUX, including proficiency in shell scripting
  • Proficiency in a scripting language, such as Perl or Python
  • Expert knowledge of core bioinformatics tools and databases
  • Exceptionally deep computational understanding and strong programming skills
  • Excellent verbal and written communication skills will be essential

For detail click here


Posted on February 01, 2019

Bioinformatician or Postdoc in Bioinformatics

The Institute for Regenerative Medicine is part of the dynamically evolving new campus of the ETH and University of Zurich in Schlieren-Zurich. For more information, please see: https://www.irem.uzh.ch/

We seek a highly motivated and independent bioinformatician who is experienced in next-generation sequencing (NGS) data analysis, bioscientific programming, and processing and analysis of large-scale omics data. The candidate will work closely with wet-lab scientists and will be responsible for setting up and evaluating pipelines to analyze gene expression data (in particular ribosome profiling datasets), participate in data visualization and help to design large-scale CRISPR/CAS9 screens. Part of the project will be to annotate novel translated regions in the genome and design libraries to target these regions, as part of a collaborative project to understand their function in cancer.

Qualifications

- Ph.D. in bioinformatics, computational biology or similar domain, have demonstrated computational research experience
- Excellent knowledge of R and at least one scripting language
- Knowledge of applied statistics
- Experience with Omics analysis and next-generation sequencing data set
- Willingness to learn and develop novel pipelines and tools to analyze and visualize gene expression data sets
- experience in high performance computing cluster a plus
- Team player and willingness to work closely with wet-lab scientists
- Proficiency in oral and written English
- Independence (the candidate will be part of an interdisciplinary team)

For detail click here


Postdoctoral Appointee- Metabolomics and Data Integration/Analysis

The Indiana University School of Medicine has an opening for a Postdoctoral Appointee in the area of metabolomics data integration. This role will sit at the intersection of metabolomics and statistical analysis. The goal of this research is to develop a software platform integrating novel algorithms and processes for the integration of diverse types of metabolomics data including NMR, mass spectrometry, clinical chemistry, etc. In addition to data integration, the platform will include visual analytics and data mining methods. The project will be jointly supervised by the PI’s who have expertise in metabolism/metabolomics, genomics and biostatistics.

The primary role will be in software development with extensive interaction with analytical chemists, biochemists, biostatisticians and software developers. Excellent record keeping and proper coding practices is required.

Recent Ph.D in an area related to computational biology including chemistry, biophysics, or biostatistics. General knowledge of biochemistry and strong computational skills including programming proficiency in Python and/or R. Organized and detail oriented with excellent documentation as well as verbal and written communication skills. Will be expected to work independently, but with frequent communication and assistance from the mentors in both biochemistry and biostatistics. Good English verbal and written communication is required.

For detail click here


Posted on January 30, 2019

Senior Bioinformatician

The Center for Translational Data Science at the University of Chicago is a research center pioneering the discipline of translational data science to advance biology, medicine, and environmental research. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. These growing data commons offer petabytes of rich research data to scientists across the world.

As a Senior Bioinformatician, you will design and implement bioinformatics services for innovative data sharing platforms for biomedical research. Projects focus on multi-institutional collaborations that bring leading experts together to drive data sharing initiatives for flagship scientific programs. The Senior Bioinfomatician will lead data import and analysis, data quality, and data generation aspects of each project and work hands-on to develop pipelines and tools, including support for high-throughput genomic technologies.

Education:

  • Doctoral degree in Bioinformatics, Biological Sciences, Computer Science, or a related field required.

Experience:

  • Minimum of two (2) years of experience in the field of bioinformatics required.
  • Experience in the bioinformatics of Next Generation sequencing technologies required.
  • Experience using languages such as Java, Python, SQL, or XML, required.
  • Familiarity with Linux and/or Unix required.
  • Basic knowledge of molecular biology required.
  • Basic knowledge of statistics required.
  • Experience in employing high performance computing to solve parallelizable compute problems preferred.
  • Experience providing bioinformatics services or other service roles preferred.
  • Experience with human genomics preferred.

For detail click here


Postdoctoral Research Associate in Bioinformatics

A Postdoctoral Scholar position is immediately available to work with the Love and Stein Labs at UNC-Chapel Hill on statistical and causal inference method development for analysis of large genomic datasets. The goal of this project is to develop mechanistic understandings of genetic risk for neuropsychiatric disorders as mediated through multiple layers of biology, through robust statistical modeling followed by experimental validation in human stem cell culture.

The position will involve analysis and modeling of multi-omics datasets (genotype, ATAC-seq, RNA-seq, cellular phenotypes), and integration of additional cohorts and datasets (tissue-level and disease phenotypes). The work will connect closely with multiple international groups via active collaborations, and seek to maximize impact through open source software release, and engaging, interactive presentation of scientific results.

We are looking for an individual who is highly motivated by team science and who will work closely with experimentalists, as two-way communication between wet- and dry-lab biologists will be critical for our project. The position will suit someone with a computational biology background or a statistical or causal inference background. In either case, the candidate should have experience in analyzing large genomic datasets and development of computational and statistical methods.

Vacancy ID PDS002270

For detail click here


Posted on January 28, 2019

Research Fellow – Cancer Genomics / Computational Biology

The research group of Anton Henssen at the ECRC Research Center of the Max Delbrück Center for Molecular Medicine (MDC) in Berlin, Germany is seeking a Post-Doctoral Research Fellow in Cancer Genomics / Computational Biology. The lab studies the causes of genomic instability in pediatric solid tumors with a focus on mobile genetic elements such as transposons and circular DNA (e.g. Henssen A. et. al. Nature Genetics 2017).

Our Pediatric Oncology Research Lab at the Department of Pediatric Hematology, Oncology at the Experimental and Clinical Research Center (ECRC) is closely affiliated to the Helmholtz Institute, Max Delbrück Center (MDC) for Molecular Medicine and the Berlin Institute of Health (BIH). The main focus of all research programs is to improve cure rates for patients suffering from childhood cancer by combining basic, translational and clinical research.

Your profile:

  • Recent graduate (PhD) or Research Scientist (PhD not necessary) in Cancer Biology, Bioinformatics, Statistics, Physics or any other field with relevance to Biology / Computational Biology
  • Proficiency in basic programming fundamentals for data analysis (preferably in R and in one of the scripting languages such as Perl/Python)
  • Ability to collaborate and communicate complex technical concepts (preferably in English, German not necessary).
  • Understanding of basic cancer molecular biology principles is highly preferred

Quote Reference: DM.209.18b

For detail click here


Multi-scale discrete representations of protein structures for RNA/DNA docking

The aim is the development of innovative computational tools for modeling protein –nucleic acids assemblies. One main focus will be the development of combinatorial representations of protein shape variability, to be implemented in protein-DNA/RNA docking tools developed in the team [NAR_2016, PloS_2016]. These tools will be applied to large DNA – protein complexes involved in the transmission of bacterial resistance, in the context of the CITRAM collaborative project with experimental biologist (DynAMic lab, UL – INRA, Nancy).

Eligibility: Candidates must have a PhD degree in computer science, (bio-)physics, bioinformatics or structural biology. Strong programming skills (preferentially in Python) are required. Skills in discrete mathematics, statistics and/or knowledge of molecular structures are very desirable. Experience with students co-supervision would be appreciated.

Employer:  LORIA lab (Lorraine University – CNRS – INRIA ), Nancy, France

Contact: Dr. Isaure Chauvot de Beauchene (isaure.chauvot-de-beauchene (at) loria.fr), Dr. Dave Ritchie (dave.ritchie (at) loria.fr)

Start: between Feb and Jul 2019

For detail click here


Posted on January 25, 2019

Postdoctoral Fellow: Statistical Genetics and Quantitative Genomics

The Amgen Postdoctoral program is committed to providing future scientists with an enriching environment to inspire innovation that will contribute to the development of human therapeutics. Dr. Yi-Hsiang Hsu in the Computational Biology/Research department at Amgen Inc. is seeking a postdoctoral fellow. Despite the successes of genome-wide association studies (GWAS), important challenges remain that limit their impact on human biology and medicine, especially the fact that in the majority of cases the causal loci are located in non-coding regions and poorly understood. Recent advances in human regulatory and functional genomics (ENCODE, Roadmap Epigenomics Project and GTEX) and gene editing technologies (such as CRISPR/Cas9) allow us to overcome these challenges and gain a systematic understanding of the role of GWAS variants in human disease and complex traits.

The Postdoc will carry out independent research and participate in projects that (1) generate HI-C seq, ATAC-seq, RNA-seq and Chip-seq data in human primary cells and utilize these data to construct 3D genome looping structure across the whole genome; (2) build prediction models to predict enhancer-promoter links (gene regulatory circuits; regulatory landscapes) in human primary cells; (3) apply AI-machine learning deep learning models such as CNN to identify underlying causal variants and targeted genes for GWAS/GWAS loci for complex disorders such as HF, AF, CVD, neurological disorders, immunological disorders and cancers from whole genome sequencing as well as other large biobanks such as UKBiobank; (4) apply biological networks and systems biology approaches to priority and identify potential druggable targets from the targeted genes from human genetics studies; and (5) be involved in wet lab experiments to functionally validate findings in cellular and/or animal models by CRIPSR/Cas9 gene editing approaches.

Basic Qualifications: Doctoral degree (such as PhD, ScD, MD, etc.) at the time of appointment

Preferred Qualifications: Experience dealing high-throughput sequencing data such as next generation sequencing, RNA sequencing, Chip-seq, ATAC-seq and/or Hi-C seq as well as experience using the ENCODE and Roadmap Epigenomics Project data Expertise in the statistical analyses of next generation sequencing data or bioinformatics (especially in network/pathway modeling) Experience in applying AI-machine learning deep-learning methods Able to present findings and write papers in the field of study Expertise with statistical genetics and network modeling algorithms Familiarity and involvement in use of large scale omics data, such as ENCODE, Roadmap Epigenomics Project, GTEX, eQTL datasets, Hi-C and RNA-seq data etc

Job ID: R-69997

For detail click here


Postdoctoral Research Fellow in Cancer Genomics

We seek a highly motivated postdoctoral fellow in Molecular Genetics and Genomics for a 3-year position on circular DNA in tumors. Besides genomic profiling of circular DNA in tumors, a central part of the work will be dedicated to development of non-invasive tests for early diagnosis of cancers. The successful candidate will apply and develop methods for isolation of circular DNA, collaborate with clinicians and bioinformaticians for identification of driver and marker mutations in cancers, and take part in commercialization and publication of results.

The successful candidate holds a PhD in biochemistry, bioengineering, biomedicine, biology or a related field, has expertise in DNA and chromosome biology, as well as methods in molecular biology. Experience with next generation sequencing (NGS), bioinformatics, oncology, biomarkers and/or commercialization of technology are further advantages. Finally, the candidate must demonstrate effective verbal and written communication skills.

Our laboratory investigates the biology of circular DNA in eukaryotic cells through our unique molecular methods, NGS and novel bioinformatics pipelines using human and yeast as model systems.

The deadline for applications is 30th of January 2019, 23:59 GMT +1.

For detail click here


Posted on January 23, 2019

Postdoc: Marine population genomics

The department for Marine Sciences (http://marine.gu.se/english/) is Sweden's most complete academic environment for marine research and education, and it is one of few such institutions in Europe. The Department for Marine Sciences, founded 2015, brings together expertise in physical oceanography, marine chemistry, marine biology, marine geology, and marine heritage conservation. Thus the department has excellent opportunities to meet future challenges in marine research and education. The department of Marine Sciences are located with permanent staff in Gothenburg and at the research stations Kristineberg and Tjärnö on the Swedish west cost north of Gothenburg.

The candidate will join an international team working on the evolutionary biology of Littorina based in the Department of Marine Science, both at Tjärnö Marine Laboratory and in Gothenburg, and at the University of Sheffield. The candidate is expected to lead and perform the bioinformatic and population genomic analyses of multiple data types using standard software and custom scripts and to present the results of the analyses in manuscript(s) and at conferences, and communicate the findings at various dissemination activities. The candidate is also expected to take part in other research-related activities at the department, and within the research group in particular.

Eligibility
Qualified for appointment as postdoc is a person who has been awarded a PhD degree in a subject area relevant for the position no longer than 3 years ago. Relevant subject areas for this position are population genetics, evolutionary biology, bioinformatics or equivalent academic disciplines. A candidate with a foreign degree that is judged to be comparable is also eligible. The candidate should have earlier experience of bioinformatics and working with large sets of sequencing data and/or deep experience of working with statistical analyses of genetic data in a population or evolutionary context.

For detail click here


Scientist - Bioinformatics

City of Hope, an innovative biomedical research, treatment and educational institution with over 6,000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy. Founded in 1913 and headquartered in Duarte, California, City of Hope is a remarkable non-profit institution, where compassion and advanced care go hand-in-hand with excellence in clinical and scientific research. City of Hope is a National Cancer Institute designated Comprehensive Cancer Center and a founding member of the National Comprehensive Cancer Network, an alliance of the nation’s leading cancer centers that develops and institutes standards of care for cancer treatment.

Key Responsibilities include:
  • The scientist will analyze high throughput sequencing data for detection of tumor heterogeneity and subclonal populaitons using WGS (for reference, please read: https://www.ncbi.nlm.nih.gov/pubmed/29093439), as well as subclonal phenotype and pathway activity using single cell sequencing data.
  • He/she will assist with managing, analyzing, and interpreting genomics data from patient cohorts in order to understand why cancer progresses with resistant tumor clones that emerge during therapy. 
  • The successful candidate will contribute to the development data workflow processes and pipelines.
  • He/she will also have the opportunity to assist in training investigators and new users to use bioinformatics applications and databases.
Basic education, experience and skills required for consideration:
  • A Ph.D. degree in life or biomedical sciences, or a related discipline is required;
  • Demonstrated ability to solve biologically-relevant problems requiring novel applications of exploratory data analysis and analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data with a collaborative project team.
  • Excellent English written and oral communication skills.
  • Proficient in scripting languages (python, perl) and proficient with R.
  • Knowledge of hardware including server.

Posted on January 21, 2019

Postdoctoral Research Fellow - Computational and Mathematical Modeling - Cancer Immunology - Genentech Research

Biomedical research has become data intensive, shifting away from classical confirmatory hypotheses testing for a few clinical variables, to searching for underlying fundamental patterns governing biological phenomena and their dynamics in high dimensional variable and sample space. This has led to an increasing use of, and development of new, computational and mathematical modeling techniques within biomedicine.

We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in the Department of Cancer Immunotherapy. You will be working within our Computational and Mathematical Modeling group to study cancer phenotypes and the interaction with genetic and immune system variables. For example, you will participate in trying to deepen our understanding of the dynamics within tumor microenvironments supported by unique and growing collections of Omics data coupled with clinical data.

Candidates for this position should have:

  • PhD in Mathematics, Mathematical Statistics, Computer Science or Bioinformatics with a proven track record in mathematical modeling.
  • Highly proficient in general in computational and programming languages, including a working knowledge of R and e.g Python. Experience with C++ would be an asset.
  • Experience with creating web-based data visualization and data analysis applications (e.g. R Shinys) is desirable.
  • Desirable having a previous experience working with biologists on life-science questions.
  • Excellent communication and teamwork skills to take advantage of our highly collaborative environment.
  • A passion for innovation, and demonstrated initiative and track record in tackling new areas of research.

Job ID: 201809-121656

For detail click here


Postdoctoral Positions in Stem Cell Epigenomics (Computational Biology)

Postdoctoral and Research Assistant Positions are available in the laboratory of Dr. Benjamin Kidder at Wayne State University in the Barbara Ann Karmanos Cancer Institute, an NCI-designated Comprehensive Cancer Center. Our lab focuses on epigenetic mechanisms of stem cell fate, genome stability, and reprogramming/transdifferentiation, using experimental, genomics, and bioinformatics approaches. We integrate functional studies and computational analysis of epigenomic and transcriptomic data.

Experimental biologists with broad expertise in stem cell or cancer biology, mammalian tissue culture, next-generation sequencing, molecular biology, biochemistry, mouse models, bioinformatics or an equivalent field are encouraged to apply. This position offers the opportunity to work closely with computational biologists or bioinformaticians in a collaborative environment. The successful applicant should have a (1) Ph.D. degree in Cellular or Molecular Biology, Biochemistry or an equivalent field and the following qualities: (2) skilled and highly motivated, (3) first or co-first author publications, (4) excellent communication skills (oral and written).

Qualified bioinformaticians or computational biologists should have a (1) Ph.D. or master’s degree in Bioinformatics, Genomics, Computer Science, Statistics, or a related field, (2) computer programming skills in at least one language (python, perl, C/C++, R), (3) experience with analyzing next-generation datasets, (4) first or co-first publications, (5) excellent communication skills (oral and written).

For detail click here


Posted on January 18, 2019

Postdoctoral Fellowship in Computaional Biology

Applications are invited for multiple postdoctoral positions in the laboratory of Prof. Peter Park at Harvard Medical School. The long-term goal of the laboratory is to develop and apply innovative computational methods to contribute to our understanding of cancer genetics, neuroscience, and epigenetics. Current areas of interest include structural variation analysis for whole-genome sequencing data, analysis of single cell sequencing data, and development of a genome analysis platform for clincial samples.

The successful candidate will join a group of supportive and productive computational biologists in the Department of Biomedical Informatics and have an opportunity to collaborate with world-class biologists in the Harvard medical area. Recent fellows from the lab have gone to faculty positions at top institutions in Boston, Cambridge (UK), Chicago and Milan.

An ideal candidtae will have a Ph.D in computational biology/bioinformatics/computer science or another quantitative field, as well as excellent programming and communication skills. Substantial experience in analysis of high-throughput sequencing data is highly desirable. We are particularly interested in hiring at least one fellow with a rigorous statistics background. Those with an outstanding record in a quantitative field without significant exposure to biology may also be considered.

For detail click here


Postdoctoral Positions in Computational Genomics

Applications are invited for postdoctoral positions in the lab of Ekta Khurana. The lab is located at Weill Cornell Medical College (WCMC) in New York City. The research focus of the lab is to understand the role of genomic sequence variants in human disease, with an emphasis on noncoding variants. As a member of the Meyer Cancer Center, Institute for Precision Medicine and Institute for Computational Biomedicine at WCMC, postdocs will have opportunities to collaborate with a diverse group of experimentalists and computational biologists.

A PhD in computational biology, bioinformatics, genomics or a related field is required. A strong computational background, proficiency in at least one programming language and knowledge of statistics are also required. Research experience in genomics, genetics or a related field is desirable.

For detail click here


Posted on January 16, 2019

Computational Postdoctoral Position to Study Cell Cycle and Gene Expression Regulation Using Single-cell Genomics

Our laboratory is a core part of the Functional Genomics and Metabolism Unit, which hosts five independent research groups that perform a variety of basic and functional genomics research. We are based within the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, Odense which hosts more than 20 research groups. The Unit and department offer an international working environment with state-of-the-art facilities for next generation sequencing, Flow cytometry, single-cell transcriptomics, Mass spectrometry, and National Bioimaging facility among others. We also have close ties to the Odense University Hospital (OUH).

We are seeking a highly motivated and talented PhD-level computational biologist with expertise in analysis, integration and interpretation of complex biological Omics data, to join our research team of molecular biologists and computational scientists studying ‘cell cycle and gene expression regulation using single-cell genomics’.

Qualifications/requirements:
We are looking for highly motivated and enthusiastic scientists with the following competences and experience:
Essential: 
• PhD (or awaiting degree) in Bioinformatics, Systems biology, Computer Science or Computational Biology with documented experience in analysis of large-scale biological datasets (ChIP/ATAC/RNA-seq etc.) and statistical analysis.
• Strong proficiency in Python or R and experience in high-performance computing environment using Linux/UNIX.
• Ideally one first authorship in relevant journal in the field.
• Strong communication and collaboration skills.
• Excellent written and oral communication skills in English.
Desirable: 
• Experience with analysis of single cell genomics/transcriptomics etc. datasets.
• Experience with applying supervised/unsupervised statistical learning and mathematical methods.
• Interest in graphical data visualisation (Shiny, Plot.ly, Dash etc.).
The position has a flexible start date (1 February 2019 or thereafter). Application deadline: 31 January 2019.

Postdoc in Bioinformatics in the Gorodkin lab

The NeuroStem project aims at identifying the underlying neuronal pathology of causative genes and regulatory elements to obtain novel functional insight in Alzheimer’s and Parkinson’s diseases that can enable improved treatment. Transcripts will be extracted from neurons derived from iPSC, previously generated from patient skin fibroblasts. In cases where the patients carry specific disease-causing mutations, the iPSCs are gene corrected using CRISPR/Cas9 (isogenic control) allowing for strict comparisons of diseased and isogenic neuronal cells. In addition neurons from engineered healthy control iPSC, into which the genetic mutation is introduced, will be part of the analyses to circumvent the low numbers of samples due to rare mutations.

A two-year Postdoc position is available in the Gorodkin lab (http://ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology and Health (RTH), (http://rth.dk) at Department of Veterinary and Animal Sciences (http://ivh.ku.dk/english), Faculty of Health and Medical Sciences at University of Copenhagen. The Postdoc position concerns bioinformatics analyses of transcriptomic data from neurodegenerative diseases. The position is available from 1 March 2019 or as soon as possible thereafter.

Required qualifications and selection criteria 
The applicant should hold the professional as well as personal skills and qualifications as stated below:
  • A completed PhD degree in bioinformatics, computer science or in a similar area
  • General background knowledge of biological areas of genome structure and transcriptomes
  • Strong experience with script languages such as Perl or Python (or similar)
  • Strong experience with the Linux/Unix environment, command lines and shell scripting
  • Solid experience with transcriptome analysis
  • Good interpersonal skills
  • Excellent in English both in writing and speech
Candidates fulfilling one or more of the following qualifications will be prioritised:
  • Strong experiences with transcriptome data analysis
  • Algorithmic insight broad and for RNA (2D) structure
  • Experience with transcriptomic data from neurodegenerative diseases
  • Experience in at least one of the following programming languages: C, C++ or Java

The deadline for applications is 10 February 2019. Any applications received after this time or incomplete will not be considered.

For detail click here


Posted on January 14, 2019

Postdoctoral Researcher in Bioinformatics Computational Systems Biology

The University of Luxembourg is a multilingual, international research University. The University of Luxembourg has the following vacancy in the Luxembourg Centre for Systems Biomedicine (LCSB): Postdoctoral Researcher in Bioinformatics Computational Systems Biology.

We seek a highly motivated bioinformatician who is experienced in next-generation sequencing (NGS) data analysis, bioscientific programming, and processing and analysis large-scale omics data. The candidate will be responsible for the biomedical analysis of NGS, GWAS, and other functional omics data as part of a collaborative research project on the identification of molecular factors associated with the risk of developing Parkinson’s disease. The project will use both new and existing biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models, with the goal to conduct integrative pathway-, network- and machine learning analyses to improve the understanding of molecular network perturbations in Parkinson’s disease.

Your Profile

  • The candidate will have a PhD or equivalent degree in bioinformatics or computational biology
  • Prior experience in large-scale data processing and bioscientific programming is required
  • A track record of previous publications in bioinformatics analysis of omics data should be outlined in the CV
  • Demonstrated skills and knowledge in next-generation sequencing data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous
  • The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research
  • Fluency in oral and written English

Please apply online until 15th February, 2019.

For further information, please contact: Enrico Glaab enrico.glaab@uni.lu


Postdoctoral Fellowship in Bioinformatics and Molecular Metabolism

The laboratories of Drs. Jeffrey Pessin, Fajun Yang and Deyou Zheng at Albert Einstein College of Medicine are jointly seeking recently or to be graduated Ph.D. with experience in the bioinformatics analysis of high throughout sequencing data, such as RNA-seq, ChIP-seq, ATAC-seq, PRO-seq, and Hi-C/3C-seq. The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

An ideal candidate would have demonstrated expertise and track record in computational programming in python and R, statistical genetics, bioinformatics, or systems genomics. The successful candidate should also be interested in applying the bioinformatic analysis of these and other sequencing datasets in the understanding of the epigenomic control of dysregulated metabolism in diabetes and obesity.

Please send this information in care of Ms. Fran Taibi, Albert Einstein College of Medicine, Diabetes Research Center, 1300 Morris Park Avenue, Bronx, NY 10461 Email: fran.taibi@einstein.yu.edu

For detail click here


Posted on January 11, 2019

Postdoc in Bioinformatics

A two-year Postdoc position is available in the Gorodkin lab (http://ivh.ku.dk/bioinformatics), Center for non-coding RNA in Technology and Health (RTH), (http://rth.dk) at Department of Veterinary and Animal Sciences (http://ivh.ku.dk/english), Faculty of Health and Medical Sciences at University of Copenhagen. The Postdoc position concerns bioinformatics analyses of transcriptomic data from neurodegenerative diseases. The position is available from 1 March 2019 or as soon as possible thereafter.

The project takes outset in differential expression analysis of transcripts between disease and gene edited and healthy control neurons. This involves detection and analysis of coding and noncoding transcripts as well as structured RNA and other regulatory elements. From the differential expression analysis, relevant pathways will further be included to obtain candidates for downstream functional analysis in terms of knock-out and knock-in experiments.

Required qualifications and selection criteria 
The applicant should hold the professional as well as personal skills and qualifications as stated below:
  • A completed PhD degree in bioinformatics, computer science or in a similar area
  • General background knowledge of biological areas of genome structure and transcriptomes
  • Strong experience with script languages such as Perl or Python (or similar)
  • Strong experience with the Linux/Unix environment, command lines and shell scripting
  • Solid experience with transcriptome analysis
  • Good interpersonal skills
  • Excellent in English both in writing and speech
Candidates fulfilling one or more of the following qualifications will be prioritised:
  • Strong experiences with transcriptome data analysis
  • Algorithmic insight broad and for RNA (2D) structure
  • Experience with transcriptomic data from neurodegenerative diseases
  • Experience in at least one of the following programming languages: C, C++ or Java

The deadline for applications is 10 February 2019. Any applications received after this time or incomplete will not be considered.

For detail click here


Biostatistics and Bioinformatics Analyst

The University of Colorado Denver l Anschutz Medical Campus seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds. We are looking for a highly energetic, self-motivated individual to join our laboratory. We are seeking a full-time Biostatistics and Bioinformatics Analyst to work in the Schwartz/Yang Laboratory in the Department of Medicine on the Anschutz Medical Campus in Aurora, CO.

The research in the Schwartz/Yang Lab focuses on understanding how environmental stimuli affect health through genetic and epigenetic mechanisms. State-of-the-art techniques, including whole genome sequencing (WGS), genomewide association studies (GWAS), epigenomewide association studies (EWAS), transcriptome and noncoding RNA profiling in human cohorts are used regularly to accomplish these goals. Candidates identified by analysis of individual datasets as well as integrative analysis (systems biology) are followed up in cell and animal models. The Bioinformatics Analyst will be the lead analyst for all projects that focus on pulmonary fibrosis.

Responsibilities
  1. Implements existing solutions for analysis of next generation sequencing and microarray data for analysis of genetic variants, DNA methylation, histone modifications, transcriptome and non-coding RNA datasets. This includes but is not limited to Bioconductor and other R packages.
  2. Implements existing solutions for predictive modeling to facilitate biomarker discovery for preclinical forms of pulmonary fibrosis. This includes but is not limited to Bioconductor and other R packages.
  3. Implements existing solutions for integrative multi-omic/systems biology analysis. This includes but is not limited to Bioconductor and other R packages.
  4. Write advanced custom scripts to manipulate complex genomic and clinical datasets, access databases and perform data analysis.
Minimum Requirements
  • PhD in Bioinformatics, Biostatistics or related field is required. 
  • Excellent skills using biostatistics and bioinformatics to solve biologically important questions. 
  • Advanced skills in high-throughput data analysis and familiarity with widely used genomic databases and software including R and Bioconductor.
  • Advanced skills in utility programming (Python or similar language) and working in a Linux environment (bash, awk etc) on a cluster. 
  • Must be able to work independently and have advanced problem solving skills.  
  • Must have excellent interpersonal, verbal, and written skills.
  • Basic SQL knowledge and work with large clinical and genetic/genomic databases is also desirable.

For detail click here


Posted on January 09, 2019

Post-Doctoral Fellowship in Computational biology/ Bioinformatics

The postdoctoral scientist will lead the data analysis, and the statistical methodology and software development for a project related to identifying the biological basis of subtypes of high-grade serous ovarian cancers (HGSOC) using bulk and single-cell RNA-sequencing data. This is highly relevant to public health because HGSOC is a particularly deadly cancer that is often only identified at late stage and treatment options are limited. The long-term impact of this project will be a key step towards developing targeted treatments for HGSOCs.

In addition, the postdoc will create and contribute robust, open-source software using the R/Bioconductor framework, have the opportunity to present her/his work at local and national conferences, and write open-access, peer-reviewed publications. Strong mentorship and personalized training to gain essential professional skills to achieve his/her long-term career goals (e.g. academic, industry, government) will be emphasized. The postdoc will work in the lab of Dr. Stephanie Hicks in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health and will join the large community of genomics research happening at Johns Hopkins.

Minimum Requirements: Candidates must have received a PhD in data science, statistics, biostatistics, computational biology, bioinformatics, or a closely related discipline from an accredited college or university.
Qualifications: We are interested in self-motivated, collaborative individuals excited to work at the interface of single-cell genomics and cancer research with a focus on generating open-source software and open-access, peer-reviewed publications. Successful candidates will have previous technical experience analyzing high-throughput sequencing data. The focus of this project will be the analysis of bulk and single-cell RNA-sequencing data. Successful candidates will also have excellent communication (oral and written) skills, strong organizational skills, and a proven track record of collaborative, peer-reviewed publications. Individuals hired will have appointments within the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health.

For detail click here


Biostatistician: Centre for Statistical Data Analysis

EMBL is an international research organization covering many fields of modern biology. Five Computational Centres provide expertise, advice, and training for scientists across EMBL. We are looking for a statistician or data scientist to Head the EMBL Centre for Statistical Data Analysis.

As statistician/data scientist, you will be interested in statistical applications in modern biology, in computational method development for new technologies (single cell ‘omics, imaging, proteomics, microfluidics), in data visualization and data integration, and in method benchmarking and teaching. You will be co-affiliated with the research group of Wolfgang Huber (see https://www.huber.embl.de/).

A PhD or equivalent qualification in a quantitative science (statistics, mathematics, computer science, physics) with solid theoretical foundations in probability and applied statistics and some experience in data analysis of modern biological data. As our ideal candidate you should enjoy teamwork and be excited by providing consulting and teaching services at an advanced level in a world-class research environment. Excellent communication skills in written and spoken English are required.
Candidates should have a solid understanding of programming concepts and multiple languages, including advanced R. Proficiency with scientific authoring frameworks such as LaTeX, Rmarkdown and HTML5 is a plus.
Closing Date: 10 March 2019
Reference Number: HD01456

Posted on January 07, 2019

Bioinformatics Scientist

The Harvard FAS Informatics Group seeks a bioinformatician or computational biologist for genomic analysis. This individual will develop and apply cutting-edge approaches to a range of biological questions, including but not limited to methods for analyzing RNA-seq, Chip-seq, ATAC-seq, and other short and long read sequencing data. Key responsibilities include:

  • Teach bioinformatics workshops to the Harvard community on topics of interest, including both basic and advanced topics;
  • Work closely with Harvard faculty, postdocs, and students to advise on analysis of sequencing data and other biological ‘big data’;
  • Collaborate with scientists generating sequencing data at Harvard, including participating in the writing and execution of grant proposals with faculty members.

Basic Qualifications

  • Master’s degree in bioinformatics/computational biology or a related field with 5+ years of experience.
  • Proficient in Unix, R, and at least one commonly-used programming language - Python preferred.

Additional Qualifications

  • Ph.D. strongly preferred
  • Fluency with Linux shell scripting and high-performance computing
  • Prior experience developing and running computational live-coding workshops for users from a variety of backgrounds is strongly preferred
  • Excellent written and verbal communication skills, including the ability to document methods and results clearly and concisely for tutorials and manuscripts
  • Must have the ability to explain complex scientific and computational ideas to a wide range of scientists and researchers (such as graduate students, postdocs, and faculty), including those with little or no computational experience.
Job Code RS0458 Bioinformaticist III

Post-Doctoral Training Fellow - Bioinformatician

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.

We seek a motivated postdoc to join the Computational Pathology and Integrative Genomics team led by Dr. Yinyin Yuan in a highly interdisciplinary project with Prof. Carlo Maley at Arizona State University, Dr Andrea Sottoriva at ICR and Prof Trevor Graham at Barts Cancer Institute. ICR were ranked first in the Times Higher Education league table of UK university research quality from the most recent Research Excellence Framework (REF 2014) for our high impact publications. We are world leaders in identifying cancer genes, discovering cancer drugs and developing precision radiotherapy. Together with our hospital partner The Royal Marsden, we are rated in the top four centres for cancer research and treatment worldwide.

The successful post holder will develop exciting new computational pipelines for integrating digital pathology data, generated from histopathology and cutting edge multiplex images from CODEX and/or CyTOF, with omics data in colorectal cancer. He/she will enjoy the highly collaborative environment at ICR and in this research program, and work closely with an international, highly recognised team consisting of biologists, clinicians, ecologists and computer scientists. He/she will have the opportunities to learn about latest cutting-edge biotechnologies/methods including deep learning, single-cell sequencing and high dimensional multiplexing, travel to conferences and partner institutes, excel in coordinating between programming and explore new research areas in medicine through collaborations.

Applicants must hold a PhD in Computer Science, Bioinformatics, Engineering, Ecology, Physics, Mathematics or Statistics. Knowledge/experience in medicine or deep learning is desirable but not essential.

For detail click here


Posted on January 04, 2019

Postdoc position in Computational Biology

A collaboration between Dr. Kai Ge’s Adipocyte Biology and Gene Regulation Section at NIH (http://www2.niddk.nih.gov/NIDDKLabs/IntramuralFaculty/GeKai.htm) and Professor Weiqun Peng's Computational Biology Group at George Washington University (http://home.gwu.edu/~wpeng/) seeks applications for a bioinformatics postdoc position.

The successful candidate will 1) study epigenomic regulation of transcriptional enhancers from computational biology and systems biology perspectives; 2) analyze epigenomic data generated by a variety of techniques including ChIP-Seq, RNA-Seq, ATAC-Seq, Hi-ChIP; and 3) develop bioinformatics tools for integrative analysis of epigenomic data. The candidate will work closely with a group of bench scientists interested in epigenomic regulation of enhancers in gene expression and cell differentiation. The salary will be commensurate with the individual's experience.

Qualifications:

  • PhD degree in computational biology, bioinformatics, biophysics or other quantitative fields.
  • Strong programming skills in Python/Perl, C/C++; Expertise with Linux/Unix environments
  • Self-motivated with excellent communication skills and strong capability to interact with bench scientists
  • Knowledge of molecular biology is a plus

For detail click here


Research Assistant (Bioinformatics)

We are seeking a highly motivated candidate with intention to pursue a PhD as a Research Assistant (Bioinformatics) in the Fullwood Lab. Our research interest is to better understand the role of 3D genome organization in the control of RNA Biology in Cancer. Specifically, we are looking for a candidate who will analyse chromatin interaction data (e.g. Hi-C, ChIA-PET, 4C, etc), related data (e.g. ChIP-Seq, RNA-Seq), present data and write manuscripts. The candidate will also assist in routine data management e.g. management of servers, as required. Candidates should be comfortable in working independently and with other team members, learning new things on their own and be willing to work in flexible schedules to manage workload on weekend or before/after normal working hours.

Requirements:

  • Degree in computational biology or bioinformatics or related fields
  • Strong mathematical & statistics analytics background and strong programming skills (e.g. Python, R) and the ability to work in a Linux environment
  • Experience in chromatin interaction data analysis and/or genomic and epigenomic data analysis is not required but is a plus.
  • Excellent communication skills and good team spirit
  • Fluent in spoken and written English

For detail click here


Posted on January 02, 2019

Research Associate (postdoc) in the field of clinical and translational medicine informatics

The Luxembourg Centre for Systems Biomedicine (LCSB) of the University of Luxembourg is a highly dynamic working environment. The LCSB is leading the Luxembourgish representation in the European bioinformatics infrastructure ELIXIR. This Luxembourgish ELXIR Node hosted in the LCSB is dedicated to translational medicine data management. To support a newly funded Innovative Medicine Initiative (IMI) FAIRplus project focusing on developing the guidelines and tools needed to make IMI and EFPIA clinical and translational data FAIR, we are looking for a Research Associate (postdoc) in the field of clinical and translational medicine informatic.

Your Role

  • Involve in the development of transparent criteria for the selection of data sources within completed and ongoing IMI projects for FAIRification – the process to improve the level of Findability, Accessibility, Interoperability and Reusability of data.
  • Identify, recommend and implement existing metadata standards for different data types (e.g. pre-clinical/clinical: phenotype, imaging, genomic, and other molecular data).
  • Implementation and reporting of FAIR Metrics for IMI FAIRfication.
  • FAIR transformation of datasets.
  • Maintenance, further development of ELIXIR-Luxembourg IMI data catalogue (https://datacatalog.elixir-luxembourg.org) and collection of study metadata into it.

Your Profile

  • A PhD in computer science, computational biology or bioinformatics, with an interest in biomedical informatics and translational medicin
  • Good knowledge of FAIR – ‘Findable, Accessible, Interoperable and Reusable’ data principles
  • Proven work experience with clinical and translational medicine data curation, harmonisation and standardisation
  • Knowledge of standards, controlled terminologies and ontologies
  • Computer programming (Java or Perl or Python), web development (HTML, DHTML, CSS, JavaScript) skills and knowledge of RDBMS (MySQL or PostgreSQL) are a requirement.

Please apply online until 31st Jan 2019 via this link


Postdoctoral position in Computational Biology

Hatice Ulku Osmanbeyoglu is an Assistant Professor of the Biomedical Informatics Department and UPMC Hillman Cancer Center at University of Pittsburgh Medical School. The Osmanbeyoglu lab develops data-driven computational approaches to understand disease mechanisms in order to assist in the development of personalizing anticancer treatments. Previously, Dr. Osmanbeyoglu was a postdoctoral research associate at Memorial Sloan Kettering Cancer Center (MSKCC). She received her Ph.D. in Biomedical Informatics from University of Pittsburgh and completed M.S. degrees in Electrical and Computer Engineering from Carnegie Mellon University and in Bioengineering from University of Pittsburgh as well as B.S. degree in Computer Engineering from Northeastern University. Dr. Osmanbeyoglu has received a number of distinctions including the NIH Pathway to Independence Award and the Memorial Sloan Kettering Postdoctoral Research Award.

Postdoc applicants are expected to have a strong background in machine learning/statistics AND/OR substantial experience analyzing large genomic datasets. If interested please send an email to Hatice Osmanbeyoglu (osmanbeyogluhu @ pitt dot edu) including your CV (with references) and a brief Research Statement with your background and interests.

For detail click here


Posted on December 31, 2018

Postdoctoral Researcher in Computational Systems Biology

The successful candidate will develop, analyze, and guide experimental tests of computational models for cancer-relevant cellular regulatoy systems. These models will incorporate empirically determined parameter values, reproduce key experimental observations, and account for and integrate long-standing and newly obtained mechanistic knowledge. One goal is to advance system-level understanding of the cellular regulatory networks surrounding RAS, particularly the KRAS4B isoform.

The new models will consider feedback and feedforward loops, oligomerization, clustering and trafficking of signaling proteins, and include a comprehensive treatment of RAS interactions with effectors, in particular heterodimers of the serine/threonine protein kinases BRAF and CRAF. Most importantly, the models will be designed to capture effects of distinct disease-associated mutations (e.g., the effects of the oncogenic RAS mutations G12V, G12D, Q61L, and G13D) and molecularly targeted drugs (e.g., RAF kinase inhibitors). An improved system-level understanding of RAS regulation has the potential to aid in the design of molecularly targeted therapies for cancers involving KRAS driver mutations, which encompass approximately 1/3 of all cancer cases and nearly all cases of pancreas cancer.

Minimum Job Requirements:

The ideal candidate would have experience in the following areas:

  • Cell signaling and RAS biology
  • Biological rule-based modeling, especially experience using BioNetGen
  • Parameter estimation
  • Uncertainty quantification
  • Scientific programming
  • Coordination of modeling and experimental efforts

EducationPhD in related field within the past five years or soon to be completed. Must be complete by commencement of appointment.

Vacancy Name: IRC69822

For detail click here


Postdoc in Genomics

We are a creative and energetic team at UT Southwestern's Green Center for Reproductive Biology, and we are intensely focused on unraveling the functions of the non-coding genome. While this “dark matter” comprises the vast majority of mammalian genomes, our understanding of its function is only in its infancy. We know that it holds a wealth of regulatory information to precisely coordinate gene expression across all of an organism’s cell types. Underscoring their functional significance, most disease-associated loci are non-coding.

We are actively seeking highly motivated students and postdocs with a keen interest in gene regulation, and particularly in developing massively parallel single-cell and genome editing approaches to understand and engineer cellular circuits. We especially value creative, energetic, and fearless individuals. Crazy ideas are a plus. We firmly believe that the modern biologist must be adept at experimentation as well as computation, and we are committed to training these scientists to succeed as future independent investigators.

Prospective postdocs: We are seeking new colleagues with diverse training experiences, and we are especially excited about individuals with experience in:

  1. single-cell and regulatory genomics
  2. statistical and machine learning
  3. mammalian gene regulation

For detail click here


Posted on December 28, 2018

Postdoc in Epigenomics and Systems Biology

The group of quantitative genomics, bioinformatics and computational biology (QBC) (Section of Statistics and Data Analysis) is looking for a highly talented postdoc for 24 months to mainly work in the externally funded research project, EliteOva (https://eliteova.ku.dk/), headed locally by Professor Haja Kadarmideen at DTU Compute and by the overall project leader, Professor Poul Hyttel, based at the Department of Veterinary and Animal Sciences (IVH) (https://ivh.ku.dk/english/) at the University of Copenhagen (KU).

The postdoc will be expected to: 

  • Develop and conduct cutting-edge research in systems genomics, systems biology and bioinformatics in cattle with a focus on Cattle Artificial Reproduction Technology (ART) such as OPU-IVF and Embryo Transfer
  • Analyse datasets based on multi-omics profiles (genomics, epigenomic and transcriptomics datasets that are array- and NGS-based) and integrate or associate with phenotypes generated by ART and at the farm from the EliteOVa project and possibly other related datasets in cattle.
  • Collaborate with associated groups in EliteOva based in Canada/USA on epigenomics

Qualifications
Candidates should have a PhD degree combining genome-informatics, bioinformatics, computational biology or systems biology with animal biosciences with special emphasis on reproduction and embryotechnology. The ideal candidate profile is a combined expertise of bioinformatics and molecular biology working on animal epigenetics / animal reproduction. Epigenomic, transcriptomic and genomic data analyses (e.g. RRBS, RNAseq, SNP array/genome sequence data) as well as integrative systems biology analyses will specifically be in focus.

Please submit your online application no later than 8 February 2019 (local time).

For detail click here


Bioinformatics Cloud Architect

We are seeking an enthusiastic Cloud Architect to join the Proteomics Team at the European Bioinformatics Institute (EMBL-EBI). The team is responsible of the maintenance and further development of the PRIDE (PRoteomics IDEntifications) database and related tools and resources. PRIDE is a world-leading international proteomics database, a founding member of the ProteomeXchange (PX) Consortium that is capturing large-scale mass spectrometry (MS)-based proteomics data from the scientific community and currently managing hundreds of TBs of data.

The post holder will be responsible of the maintenance and further development of the cloud infrastructure used to deploy the bioinformatics open data analysis pipelines developed by the team (using various tools and frameworks, e.g. Galaxy, OpenMS, etc), within the EMBL-EBI “Embassy Cloud”. These activities are part of running BBSRC and Wellcome Trust grants. In addition, the post holder could also contribute to other tasks related to the maintenance and development of the services and tools offered by the team.

You must be able to demonstrate at least 3 years’ working experience in a suitable programming language such as Java, C++ or Python. In addition, you should ideally have experience with cloud technologies, such as OpenStack, Docker, and Kubernetes. You will work in a highly international, team-oriented environment and collaborate closely with external partners. Excellent communication skills are essential. The ability to work independently, under time pressure, and the dedication to communicate openly are necessary skills.

Closing Date: 8 January 2019

Reference Number: EBI01293

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Posted on December 26, 2018

Res Post Doc Fellow - human genomics

A post-doctoral position in human genomics is immediately available. Research in our group focuses on the development of bioinformatics methods to analyze short-read and long-read sequencing data, and to enable the implementation of genomic medicine in clinical settings.

The successful candidate will work on the methods and applications of novel informatics approaches to handle unmet challenges in genome and exome sequencing data. Example projects include the analysis of large-scale Illumina genome sequencing data, the establishment of automated pipelines for Nanopore sequencing data, the clinical interpretation of genetic mutations in rare diseases, the identification of genetic biomarkers for drug efficacy and adverse events, and the discovery of somatic/expression biomarkers for certain categories of diseases.

A suitable candidate should have a doctoral degree in genomics-related fields, such as genetics, bioinformatics, computational biology, biostatistics or computer science, with strong prior experience in human genomics, such as published work in finding human disease genes through genomic approaches, familiarity with computational tools/pipelines for variant detection and annotation, or established web servers for genomic data analysis.

Required Education and Experience

  • A terminal degree PhD, MD, DVM, etc.
  • According to the CMS (Centers for Medicaid and Medicare Services) a copy of diploma or transcript is required as proof of academic achievement for all non-laboratory personnel performing non-waived POC testing

Job Description Req ID: 22266

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Postdoctoral Fellow - Cancer Genomics

EMBL is seeking a postdoctoral scientist to join Dr. Jan Korbel's group in the Genome Biology Unit to work on cancer genomics and genome variation. Thousands of cancer genomes have been generated in past years together with other ‘omics’ data types - from transcriptomes to methylomes, pathology images and clinical data – driving biological discovery and creating exciting data science and engineering challenges. We are seeking young scientists interested in developing new computational approaches, such as those inspired by genetic association testing and/or deep learning as well as cloud computing of massive-scale multi-omics data, to tackle the integration of these data in order to understand the causal molecular events in mutagenesis, genomic DNA rearrangements and cancer. The Korbel group is a ‘hybrid’ laboratory in which computational biologists and experimentalist collaborate tightly to obtain new insights into human disease and molecular mechanisms.

The post holder will join our interdisciplinary team to contribute either to methods development, computational analysis of large-scale genomic datasets, or biological interpretation of the results. Postdoctoral scientists are further encouraged to drive the planning of experiments for hypothesis testing. Hands-on experience in programming and integrating omics data will be a requirement for the position, and prior expertise with large-scale data integration will be a plus. Frequent interactions with lab members and external collaborators will be a crucial part of the job.
Applicants should have a PhD in the biological sciences or in bioinformatics, physics, computer science, or a related field. The ideal candidate is motivated to work in an international team on interdisciplinary projects and enjoys to work in a highly collaborative atmosphere. The candidate has strong analytical skills and the curiosity to tackle questions and mine new datasets for making fundamental discoveries. Fluency in English is essential.
Closing Date: 13 January 2019
Reference Number: HD01425

Posted on December 24, 2018

Postdoctoral fellow in Computational method development for drug high-throughput screens

The Institute of Computational Biology is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored at the Helmholtz Centre Munich and the Technical University Munich. For our new junior research group "Systems Biomedicine & Pharmacogenomics" headed by Dr. Michael Menden we are currently looking for a Postdoctoral fellow (f/m/diverse) in "Computational method development for drug high-throughput screens".

The Postdoctoral fellow will focus on studying drug mechanisms for type 2 diabetes with drug high-throughput screens. Those screens are either complimented with deep molecular characterisation, or gene expression is measured pre- and post-treatment. For this, the fellow will develop innovative methods to explore high-throughput drug screens to derive biomarkers of glucose uptake and study the impact on metabolism of a large drug portfolio, which ultimately will pave the way for personalised medicine in type 2 diabetes.

Your Qualifications:

  • Ph.D. in Bioinformatics, Biostatistics, Physics or equivalent with interest in diabetes, cancer biology and early drug development. Alternatively a Ph.D. in Biotechnology, Biology or equivalent with significant experience and interest in Bioinformatics / Biostatistics
  • Excellent programming skills in R, Python and C/C++
  • Excellent academic record
  • Excellent understanding of at least one: diabetes or cancer biology
  • Scientific curiosity, commitment to scientific excellence and ability to work independently

For detail click here


Post Doctoral Research Scholar (Genomics)

The post-doctoral research fellow will conduct high quality research in pediatric data science. Our research group works with large scale, de-identified aggregate electronic health record data, clinical and research applications of mixed reality visualization, integration of patient context ("envirome") information into clinical systems and genomics-based clinical decision support. The postdoc will apply subject matter expertise and data science methods to an emerging project integrating disparate information sources available to the Children's Research Institute including clinical phenotype, genome sequence (exome and WGS), specimen and environmental data. The fellow will join a dynamic organization focused on team science and translational research. The Children's Research Institute offers access to a high performance computing (HPC) resource, bioinformatics expertise, a biostats and epi core, software engineers and a diverse community of translational researchers committed to improving the health of children.

Job Requirements:

  • PhD or MD or related doctoral level degree in a relevant discipline
  • 1-2 years' experience
  • Conduct original research in the the application of data science methods to improve child health.
  • Expert with one or more modern programming environments – including R and Python.
  • Organizational and project management skills; Written and oral communication; Skill in leading, coordinating, and/or supervising the work of others; The ability to work effectively with people from a variety of culturally diverse backgrounds.
  • Demonstrated ability to communicate about biomedical topics and engage with clinical experts.

For detail click here


Posted on December 21, 2018

Bioinformatics Software Engineer

The primary purpose of the position is to develop and maintain Integrated Genome Browser, Java-based software used by thousands of scientists worldwide to visualize and understand large-scale data sets from genomics. IGB is an application, but it is also a platform for developing novel visualizations and visual analytics functions as plug-able IGB Apps. IGB is open source software supported by grants and community donations. See https://bioviz.org to download and learn about IGB.

5+ years software development experience or 3+ years and MS degree in IT or CS-related discipline

For detail click here


Post-Doctoral Training Fellow - Bioinformatician

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.

We seek a motivated postdoc to join the Computational Pathology and Integrative Genomics team led by Dr. Yinyin Yuan in a highly interdisciplinary project with Prof. Carlo Maley at Arizona State University, Dr Andrea Sottoriva at ICR and Prof Trevor Graham at Barts Cancer Institute. ICR were ranked first in the Times Higher Education league table of UK university research quality from the most recent Research Excellence Framework (REF 2014) for our high impact publications. We are world leaders in identifying cancer genes, discovering cancer drugs and developing precision radiotherapy. Together with our hospital partner The Royal Marsden, we are rated in the top four centres for cancer research and treatment worldwide. Our Cancer Research UK Cancer Therapeutics Unit is the largest academic cancer drug discovery and development group worldwide. We discover more new cancer drugs than any other academic centre in the world.

Applicants must hold a PhD in Computer Science, Bioinformatics, Engineering, Ecology, Physics, Mathematics or Statistics. Knowledge/experience in medicine or deep learning is desirable but not essential.

Closing Date 21/01/2019, 23:55

For detail click here


Posted on December 19, 2018

Postdoc Research Associate (Bioinformatics)

A postdoctoral scholar position in the area of Single Cell Cancer Genomics is available in the laboratory of Dr. Allegra Petti in the Division of Oncology and the McDonnell Genome Institute at Washington University School of Medicine in St. Louis.

We use computational approaches to analyze, integrate, and interpret large-scale genomic data — with an emphasis on single-cell RNA-sequencing data — to better understand heterogeneity and gene regulatory networks in human cancer. We participate in long-term, data-rich collaborations with established labs at Wash. U., in which quantitative analysis is closely integrated with clinical studies and molecular biology. The postdoctoral scholar will be involved in projects that address topics such as intratumoral expression heterogeneity and tumor evolution in AML, and the interplay of genetic, epigenetic, and immunological heterogeneity in solid tumors. Opportunities to initiate and lead projects, as well as to participate in ongoing group projects, are plentiful.

A doctoral degree in computational biology, bioinformatics, computer science, statistics, applied math, biology, or a related field, with a solid background in programming and machine learning/statistics.

Please send a curriculum vitae, statement of research interests, and contact information for three references to Dr. Allegra Petti at allegra.petti@wustl.edu.

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Bioinformaticist

The Massachusetts Eye and Ear Infirmary (MEEI) is a teaching hospital of Harvard Medical School. MEEI is an international leader for treatment and research in both Ophthalmology and Otolaryngology. The MEEI Bioinformatics Center (MBC) conducts genetic and genomic research while also providing bioinformatics expertise to other clinical and research programs at MEEI. The bioinformaticist will help with addressing the associated computing needs. This is a multifaceted position with responsibilities in software development and support, hardware and system administration, database development and administration, and genomic research.

ESSENTIAL FUNCTIONS:

• Development of novel bioinformatics software tools, databases, and resources
• Development and administration of local high-performance computing infrastructure
• Development of web-based tools for management and analysis of re-sequencing data.
• Analysis of next-generation sequencing data (e.g. Illumina HiSeq/MiSeq) using existing analysis pipelines, either publicly available or custom built, using local HPC cluster or with cloud computing
• Continued enhancement and development of existing data analysis pipelines for re-sequencing and RNA-seq analyses.
• Serving as a liaison between research groups and MEEI research IT and hospital IS departments

EDUCATION AND EXPERIENCE:

- Master in Computer Science, Electrical Engineering, Computational Biology, Bioinformatics, or related fields
- Strong programming skills in Java, C/C++, Perl, SQL, PHP, Java, and HTML
- Strong UNIX/LINUX system expertise
- Strong data management experience and expertise
- Excellent organization and communication skills
- Previous web programming experience
- Research experience in the field of bioinformatics and genomics desired
- Genomic data analysis expertise, especially next-generation sequencing experience, preferred

For detail click here


Posted on December 17, 2018

Postdoctoral Machine Learning Fellow (Bioinformatics)

Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.

Outstanding PhD or MD postdoctoral machine learning fellow for a NIH-sponsored two-year T32 fellowship at the Cardiac PET MR CT Program at Massachusetts General Hospital and Harvard Medical School. The fellow will lead deep learning projects to predict cardiovascular health outcomes (e.g. heart attack) from medical imaging (CT, MRI, PET scans). This will be accomplished in high quality datasets of tens of thousands of patients with imaging and adjudicated outcomes (ROMICAT II Hoffmann U et al. NEJM 2012; PROMISE Douglas PS et al. NEJM 2015; Framingham Heart Study Hoffmann U et al. JAMA Cardiology 2017). The program is well funded and has a track record of academic productivity and grant funding for fellows.

The fellow will be jointly embedded in the Cardiac MR PET CT program at MGH (https://www.massgeneral.org/heartcenter/research/researchlab.aspx?id=1023) as well as the Computational Imaging & Bioinformatics Laboratory group at Dana-Farber Cancer Institute (http://www.cibl-harvard.org/). Interested candidates should send a copy of your CV, a personal statement, and three letters of reference to Yuji Liao (yliao4@mgh.harvard.edu), Grant Administrator.

Qualifications

  • PhD or MD
  • Comfortable with Python
  • Experience with Tensorflow and/or Pytorch
  • Background in medical imaging or computer vision a plus
  • Able to work in a collaborative team environment including MDs and PhDs
  • Excellent communication skills
  • Interest in manuscript authorship and grant writing

For detail click here


Senior Research Scientist - Immunoscience

Bristol-Myers Squibb is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases. One shared journey is moving us forward at Bristol-Myers Squibb. Around the world, we are passionate about making an impact on the lives of patients with serious disease. Empowered to apply our individual talents and ideas so that we can learn and grow together. Driven to make a difference, from innovative research to hands-on community support. Bristol-Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees the resources to pursue their goals, both at work and in their personal lives.

The Clinical Genetics and Genomics team is seeking an innovative and highly motivated scientist to join our world-class team. The selected scientist will be responsible for developing program biology based biomarker strategy for genomics assets and assume responsibility for genomics biomarker assay development, optimization, validation and execution of biomarker analysis for BMS translational research and clinical programs. The scientist must have a strong background in genomics and its application in clinical programs as well as experience with and understanding of immunology or immunoscience related disciplines.

Minimum Requirements:

  • Experience in genomics based studies of immunology and immunological disorders.
  • Postdoc in immunogenomics with work experience.
  • PhD with several years of relevant work experience and preferably demonstrated ability to develop biomarker stratetic plans and assay development and validation proposals.
  • Significant work experience in clinical assay development for genomics assets.
  • Understanding of fit for purpose genomics assay validation principles for clinical assays.
  • Good understanding of genomics assay validation guidelines and guidances (FDA, CAP, CLIA, ACMG).
  • Subject matter expertise with genomics (NGS, qPCR) assay development, validation, troubleshooting, and reviewing of run QC data.

For detail click here


Posted on December 14, 2018

Postdoc: Bioinformatics, Cancer Genomics , Epigenomics, Precision Medicine

CeMM is an international research institute of t he Austrian Academy of Sciences and a founding member of EU - LIFE. It has an outstanding track record of top - notch science (last few years: >10 papers in Nature/Cell/Science/NEJM, >25 papers in Nature/Cell sister journals) and medical translation. With just over a hundred researchers, CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disorders. CeMM is located a t the center of one of the largest medical campuses in Europe, within walking distance of Vienna’s historical city center.

We are recruiting an ambitious computational postdoc who wants to pursue groundbreaking research in bioinformatics and its applications in cancer research, including data analysis and methods development in the areas of genomics, epigenomics, and precision medicine. Our group at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna combines wet - lab biology/medicine including massive - scale data production (cancer ge- nom es /epigenom es , single - cell sequencing , CRISPR screens ) with advanced bioinformatics in- cluding data science algorithms and deep learning . We work closely with physicians at the Vienna General Hospital & Medical University of Vienna to advance cancer therapy by precision medicine .

We are looking for ambitious candidates who want to build a scientific career in bioinformatics and/or data science research with applications in biology and medicine . C andidate sh ould have a strong background in the quantitative sciences ( computer science, bioinformatics , statistics, mathematics p hysics, engineering, etc.). We will also consider applicants with a background in biology or medicine who have strong quantitative skills (including programming) and a keen interest in pursuing computational projects (a combination with wet - lab research is possible) .

For detail click here


IMB Postdoc Programme

The IMB Postdoc Programme has been established to meet the specific needs of our postdoctoral researchers and to ensure that they are able to build the strongest possible foundation for success in their future careers.

Eligibility

Within IPPro, we aim to recruit talented and ambitious scientists who are looking for challenging work at the cutting-edge of science.

To be eligible for IPPro, you need to fulfill the following criteria:

  • PhD or MD in a relevant subject
  • strong publication record
  • fluent in English (written and spoken)

Below, please find information on projects that are currently offered.

Group Leader Topic Research area
Petra Beli Proteomic investigations of the DNA damage response Genome Stability & DNA Repair; Computational Biology & Omics
Falk Butter Telomere Biology, RNA Biology & Systems Biology Genome Stability & DNA Repair; Computational Biology & Omics
René Ketting Small RNA Biology in Germ Cells Epigenetics & Gene Regulation
Anton Khmelinskii Protein Quality Control Proteostasis, Computational Biology & Omics
Stefan Legewie Computational analysis and modeling of alternative splicing decisions Computational Biology & Omics
Christof Niehrs non-coding RNA & R-loop epigenetics Epigenetics & Gene Regulation; Computational Biology & Omics
Helle Ulrich DNA damage processing during genome replication Genome Stability & DNA Repair
Eva Wolf Structural Analyses of Genome Maintenance Proteins Genome Stability & DNA Repair; Biophysics; Structural Chronobiology

Deadline to apply is 29 January 2019.

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Posted on December 12, 2018

Postdoctoral Position in Bioinformatics Brain Microcircuits in Psychiatric Diseases

A postdoctoral position in bioinformatics is available in the team of “Brain Microcircuits in Psychiatric Diseases” at the BioMed X Innovation Center in Heidelberg. The main aim of the group is to understand biological correlates of phenotypes related to human psychiatric diseases. We are looking for a highly enthusiastic researcher to broaden our think-tank with her/his intellectual power and technical excellence. The ideal candidate has a strong background in systems biology and is capable of thinking “outside the box”. You will contribute to an internationally competitive research group employing advanced behavioral, genetic and physiological approaches to understand the mechanisms of glial cell contribution to the dysfunction of neuronal networks.

You will be responsible for the bioinformatical analysis and interpretation of gene expression data, including deconvolution of cell type-specific transcripts obtained from mixed populations. Furthermore, you will perform the functional analysis of gene clusters and the comparison of our original data with published resources across species (human and rodents). Throughout the project you will be offered a friendly support by bioinformaticians from the industry and academia.

Required skills

  • PhD in the area of bioinformatics, biostatistics, computational biology, systems biology
  • Background in neurobiology or molecular cell biology
  • Experience in processing RNAseq data and related software (e.g. QualiMap, STAR Aligner, CuffLinks, DEseq2)
  • Experience in mining, integration and analysis of high-throughput datasets (genomics, proteomics, metabolomics) and related software
  • Advanced skills in data analysis in R
  • Independent and creative thinking
  • Very good work organization skills

For detail click here


Research Fellow - Computational Biology and Bioinformatics

Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.

A post-doctoral Research Fellow opportunity is currently available in Dr. Alexej Abyzov's lab in the Department of Health Sciences Research at Mayo Clinic in Rochester, Minnesota. Research will be purely computational and focus on the development and application of methods/software for CNV discovery and analysis from next generation sequencing (NGS) data. The ideal applicant will have a Ph.D. in computational biology or bioinformatics, be experienced in analysis of human whole genome NGS, be experienced in copy number variation discovery and analysis, demonstrate a record of peer-reviewed publications, be skilled in programming (e.g., know C/C++), and possess motivation for independent research.

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere.

Job posting number 108476BR

For detail click here


Posted on December 10, 2018

Postdoctoral Associate - Computational Biology/Systems Genetics

The Scripps Research Institute is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status. Dr. Mohammadi’s lab is looking for computational postdocs to join ongoing efforts in systems genetics and precision medicine projects. Possible projects include, but are not limited to, modeling variation in non-coding genome, identifying regulatory variations that contribute to disease, and combining genetic data with health monitoring sensor data.

Postdoctoral Associates are appointed positions for the purpose of developing scholarly competence, working under the supervision of a TSRI Faculty member. These appointments are normally not renewed beyond a total of six years. Postdoctoral Associates cannot apply for external funding either as a Principal Investigator or Co-Principal Investigator without prior approval from a Departmental Chair. Postdoctoral Associates do not have consulting privileges.

The position involves developing analysis pipelines for large genomic and biomedical datasets that are theoretically solid and biologically justified. Therefore, candidates holding a PhD in a theoretical field (e.g. Statistics, Computer Science, etc.) with a keen interest in genetics and biomedical research, or those with PhD/MD in biomedical sciences with substantial experience in scientific programming are encouraged to apply for the position. Lastly, experience in analyzing genomic data, NGS data, or probabilistic machine learning is a plus.

For detail click here


Postdoctoral Fellow - Single Cell Genomics

EMBL is seeking a postdoctoral scientist to join Dr. Jan Korbel's group in the Genome Biology Unit to work on single cell genomics, with a focus on exploring and integrating genetic and epigenetic variation in human cell types. Young scientists qualifying for this position could either have an experimental or a largely computational background. While there has been ample progress in developing methods for sequencing transcriptomes in single cells, much less progress has been made in our understanding of genetic variation in single cells. The Korbel group is developing methodologies that allow joint analyses of genetic and epigenetic variation in scalable single cell sequencing assays.

The post holder will join an interdisciplinary team and will be responsible for the generation of single cell data and/or computational analyses to obtain new biological insights, as well as follow-up studies within an inspiring lab atmosphere and an environment in which unique technologies are being developed. Experience in single cell data analysis or generation will not be a requirement, but would be considered a plus. Frequent interaction with lab members and collaborators will be a crucial part of the job.

Applicants should have a PhD in the biological sciences, bioinformatics, computer science, physics or a related field, and proven research experience in a relevant field. The ideal candidate is motivated to work in an international team on interdisciplinary projects and enjoys to work in a highly collaborative atmosphere. Fluency in English is essential.

Closing Date: 13 January 2019

Reference Number: HD01424

For detail click here


Posted on December 07, 2018

Postdoctoral Research Fellow – Real World Data Analyst (Bioinformatics)

Job summary:
The digitization and availability of the vast amount of real world patient data has created significant opportunity to understand real world patients and their clinical experiences, beyond traditional research in standard clinical trials. The increasingly affordable genomic sequencing technologies also made it possible to study and treat patients based on their genetic make-up. You will join our Data Science team at Roche Innovation Center New York to mine the rich and highly curated electronic healthcare records (EHR) integrated with genetics data in our Flatiron-FMI data marts, as well as public data sources where appropriate. By applying advanced analytics, you will generate evidence from real world data that can increase our understanding of disease biology, drug resistance and/or drug response mechanisms, hence help accelerate our drug development and bring new medicine to patients. In this position, you will have the rare opportunity to apply your analytical skills in statistics, machine learning, deep learning and biological pathway analysis to cancer immunotherapy challenges, using valuable integrated patient data.

Responsibilities

  • Identify and apply appropriate analytical methods to ensure fit-for-purpose approaches.
  • Apply rigor in study design and analysis plan. Prepare data and perform data analysis.
  • Interpret results, create visualization and generate reports to convey new insights in cancer biology in a way that maximize impact and interpretability.
  • Present work internally and at conferences.
  • Publish in peer-reviewed journals.

Requirements

  • Ph.D. in biology- or data-related sciences such as Molecular Biology, Biomedicine, Computational Biology, Bioinformatics, Data Science.
  • Knowledge and experience in cancer immunology is a must. Additional knowledge and experience in epidemiology is a plus.
  • Strong quantitative analytical skills in statistics, machine learning and predictive modeling.
  • Proficient in analysis programming skills (e.g. R or Python) and SQL.
  • Experience in analysis of Real World Data such as EHR and health insurance claims is highly desired.
  • Experience in analysis of large scale genetic data is also highly desired.
  • A creative self-motivated individual with excellent communication skills.

Who We Are:
At Roche, 94,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

For detail click here


Postdoctoral position in Bioinformatics

A postdoctoral researcher position is available immediately to work with Dr. Stephen M. Mount and collaborators (Drs. Heidi Fisher, Kan Cao and Zhongchi Liu) at the University of Maryland in College Park. Research in the Mount laboratory is focused on describing how RNA processing produces accurate, variant and defective RNA isoforms from protein-coding genes. In practice, this means mining high throughput RNA-seq data for biological insights using computational tools.

The candidate is expected to work closely with Dr. Mount to implement pipelines for the discovery of biological insights in diverse RNA-seq data sets (including HIV infected T cells, premature aging, behavior-dependent mouse brains and testes, cancer, fruit development and fern male gametophyte maturation).

A strong background in bioinformatics is essential. This should include programming skills in R and python and experience with large biological data sets. Experience with, and knowledge of, RNA processing is a plus. Significant biological knowledge is essential. The ideal candidate will be motivated, capable of academic writing and able to work well as a collaborator. The successful candidate will receive training and direction on key projects. The successful candidate will be expected and encouraged to co-author publications and to present their work at national and international meetings. Their professional development will be supported.

Interested applicants should send their CV, a statement of research interests, and contact information for three references to Steve Mount at smount@umd.edu.


Two Postdoctoral Positions - Biomedical Science

The Helmholtz Pioneer Campus (HPC) is an innovation campus with a startup culture, founded and funded by the Helmholtz Zentrum München. HPC stands for the smart fusion of biomedical sciences, engineering and digitization in a research environment that has no parallel in Europe.

Our laboratory aims to compare “molecular age” (predicted by molecular features such as DNA methylation, chromatin accessibility and cell-to-cell transcriptional variability) with “chronological age” (defined by the biological age of a given individual). Distinct molecular features will be used to decipher the impact of cellular variability on tissue function(s) during ageing and chronic disease.

We are seeking postdoctoral research fellow(s) with strong organisational skills, self-driven to work independently, and with a positive and collaborative attitude to engage with biomedical, computational and clinical scientists. Your studies will employ cutting-edge functional genomics, experimental models and computational analyses (in collaboration with the Institute of Bioinformatics and Systems Biology - IBIS).

Candidates should have strong experimental skills in either functional genomics and/or molecular biology. It is essential to have proven experience with in vivo models including FELASA or equivalent certification. Experience in liver biology and FACS sorting is desirable. Applicants should hold, or about to be awarded, their PhD with an excellent publication record (including at least one first author, peer-reviewed research paper).

Specific skills to be acquired during completion of the project

  • Proficiency in cutting-edge functional genomics, experimental models and computational analyses (in collaboration with the Institute of Bioinformatics and Systems Biology - IBIS)
  • Experience in molecular biology and tissue culture techniques
  • Develop and maintain mouse models and ageing colonies (including wild type and knock out mice)
  • Develop and perform single-cell RNA-seq, single-cell ATAC-seq, single-cell metabolomics and combined omics methodologies using manual and liquid handling platforms

For detail click here


Update on December 05, 2018

Postdoctoral Fellow - Cancer Genomics

EMBL is seeking a postdoctoral scientist to join Dr. Jan Korbel's group in the Genome Biology Unit to work on cancer genomics and genome variation. Thousands of cancer genomes have been generated in past years together with other ‘omics’ data types - from transcriptomes to methylomes, pathology images and clinical data – driving biological discovery and creating exciting data science and engineering challenges. We are seeking young scientists interested in developing new computational approaches, such as those inspired by genetic association testing and/or deep learning as well as cloud computing of massive-scale multi-omics data, to tackle the integration of these data in order to understand the causal molecular events in mutagenesis, genomic DNA rearrangements and cancer.

The post holder will join our interdisciplinary team to contribute either to methods development, computational analysis of large-scale genomic datasets, or biological interpretation of the results. Postdoctoral scientists are further encouraged to drive the planning of experiments for hypothesis testing. Hands-on experience in programming and integrating omics data will be a requirement for the position, and prior expertise with large-scale data integration will be a plus. Frequent interactions with lab members and external collaborators will be a crucial part of the job.

Applicants should have a PhD in the biological sciences or in bioinformatics, physics, computer science, or a related field. The ideal candidate is motivated to work in an international team on interdisciplinary projects and enjoys to work in a highly collaborative atmosphere. The candidate has strong analytical skills and the curiosity to tackle questions and mine new datasets for making fundamental discoveries.

Reference Number: HD01425

Closing Date: 13 January 2019

For detail click here


Postdoctoral position in Genomics

Our lab, located at Icahn School of Medicine at Mount Sinai (USNews Top 20 Medical School) is part of the Genomics Department and the Institute for Multi-scale Biology, one of the top institutes on systems biology in the nation.

Openings for Students/Postdocs/Scientists: epigenomes of pathogens, microbiota and human (beyond cytosine methylation towards uncharacterized nucleic acid methylations & other chemical modifications); third-generation sequencing (single molecule; long reads, >20kb; real-time; PacBio + Nanopore + Illumina); systems biology of human diseases (genetic interactions and integrative networks, both big and "small" data approaches, both "simple" and deep learning).

Successful candidates will have unique opportunities to (i) build on our unique expertise, large scale collection of clinically relevant samples and a strong network of collaborators, (ii) take the lead role in multiple projects on the innovative use of third-generation sequencing and systems biology, (iii) pioneer innovative epigenomics and transcriptomics research for both basic biology and clinical applications. (iv) Compensations for successful candidates are highly competitive, including subsidized housing (in New York City, close to Central Park).

For detail click here


Update on December 03, 2018

Postdoctoral Associate (Bioinformatics - Development, Aging and Regeneration)

Sanford Burnham Prebys Medical Discovery Institute (SBP) is an independent nonprofit research organization that blends cutting-edge fundamental research with robust drug discovery to address unmet clinical needs in the areas of cancer, neuroscience, immunity, and metabolic disorders. The Institute invests in talent, technology, and partnerships to accelerate the translation of laboratory discoveries that will have the greatest impact on patients. Recognized for its world-class NCI-designated Cancer Center and the Conrad Prebys Center for Chemical Genomics, SBP employs about 1,000 scientists and staff in San Diego (La Jolla), Calif., and Orlando (Lake Nona), Fla. For more information, visit us at SBPdiscovery.org.

The Rolf Bodmer laboratory group has an early-stage Postdoctoral Associate opening. The lab is working on the discovery and modeling of genetic pathways involved in heart development and establishment of heart function in the genetic model organism Drosophila, in parallel with a lab working on similar efforts in human iPSC-derived cardiomyocytes, with the aim is to build genetic models of congenital heart disease (CHD), as well as other heart diseases. They are partnered with clinicians and human geneticists to test candidate genes for CHDs to provide tangible evidence for the functional role of these genes and to develop genetic frameworks in which potential CHD genes are embedded.

Required Experience:

  • PhD in bioinformatics, or biological sciences (including Computer Science, Bioinformatics, Biostatistics, Life Sciences) with strong emphasis on bioinformatics, preferentially related to the genetics of disease.
  • The qualified candidate must have strong experience in one or more of the following areas:  Bioinformatics, or in molecular biology and genetics or related discipline with an emphasis on bioinformatics.
  • 1-2 years of experience after PhD degree in Computer Science, Bioinformatics, or Biostatistics is preferred
  • Biological or Life Science lab experience is preferred
  • Experience in cardiac biology/disease is a plus
  • Experience in process and analyzing genomic data and using standard bioinformatics tools and databases is preferred

For detail click here


Research Fellow - Bioinformatics/Computational Biology

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Responsibilities

An ideal applicant should have:

  • A PhD in a quantitative field such as bioinformatics, computational biology, computer science, mathematics, physics or a related discipline.
  • Strong programming skills. Demonstrated experience in developing high-performance algorithms is beneficial.
  • Familiarity with analysis of large-scale genomic sequence data.
  • A strong track record of scientific publications.
  • Good oral and written communication skills in English.

For detail click here


Update on November 30, 2018

PostDoc Position in Network Epigenomics

A major research barrier in systems biomedicine is that most of the currently used gene-gene interaction networks are not cell type-specific and neglect much of our current understanding of cellular regulation (i.e. enhancers and repressors). The EpiMap project of the International Human Epigenome Consortium currently integrates and harmonizes multi-omics data from 1000 epigenomes, offering a unique chance to overcome this barrier. The aim of this research project is to use state-of-the-art machine learning techniques for multitask and transfer learning to construct robust cell-type-specific molecular interaction networks. Such networks will allow researchers to put their experimental results in a cell type-specific context and thus pave the way towards adding an epigenetic perspective to biomedical research in general and to systems medicine in particular.

Your qualifications

  • Recent PhD in Computational Biology, Bioinformatics, Genomics, Epigenetics or a related field.
  • Strong experience with handling RNA-seq, small RNA-seq, WGBS, RRBS, ChiP-seq data
  • Strong experience with systems biology and network analysis techniques
  • Strong experience with advanced machine learning techniques, e.g. SVNs, RF, CNN
  • Strong experience in R, Python or Java
  • Good experience in using compute clusters / HPC environments and Docker / Singularity
  • Solid understanding of molecular biology in general and epigenetic mechanisms in particular
  • Ability to independently carry out a challenging research project in an international collaboration
  • Fluency in English in written and spoken language.

For detail click here


Bioinformatics Specialist

The candidate will support scientific research projects under the supervision of the Laboratory Manager and/or Laboratory Director. The candidate is expected to perform data analysis on large metabolomics datasets set using established software (e.g., Mass Professional Profiler, Profinder, Progenesis IQ), compile results in a summary report, and communicate the results to investigators. The candidate will be responsible for all data backup for the Core. The candidate will act as a liaison between the Core and Research IT group as well as vendors for software updates. It is expected that the individual will develop scripts or software applications to support data management, data extraction, and data analysis as required. The successful candidate must be knowledgeable in handling and design of repository systems to contribute to the development of widely-available databases.

Qualifications:  Master’s degree in domain-relevant sciences (biology, chemistry, mathematics, physics, and statistics or health sciences) or domain informatics (computational biology, computational chemistry, bioinformatics, clinical informatics, medical imaging, and medical informatics) OR a BS in domain-relevant sciences with (1) at least 12 graduate level semester hours in informatics or domain-relevant sciences and (2) at least two years of informatics experience.

Job posting number 107732BR

For detail click here


Update on November 28, 2018

Postdoctoral Research Fellow - Bioinformatics & Computational Biology

We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in the Bioinformatics and Computational Biology Department to apply cutting edge single cell computational approaches to understand the role of sensory neurons in airway function. The successful candidate will join a highly collaborative research team that includes members of Bioinformatics, Neuroscience, and Immunology and will work exceptionally closely with bench colleagues in these groups. Our work is focused on dissecting the transcriptional and molecular pathways in sensory neuron populations that are required for normal lung function, and which might be dysfunctional in airway diseases.

For more information on Josh Kaminker lab, please visit: https://www.gene.com/scientists/our-scientists/josh-kaminker Information about the postdoctoral program at Genentech can be found at: http://www.gene.com/careers/academic-programs/postdocs.

  • You have a PhD in Bioinformatics, Biostatistics, Computational Biology or similar field, and have some experience in either Neuroscience or Immunology.
  • You have a demonstrated record of innovative scientific accomplishments as evidenced by at least one first-author paper published or accepted in a top tier journal.
  • You enjoy working closely and collaboratively with bench scientists to solve complex biological problems.
  • You have experience working with some types of large scale genomic data (e.g. RNA- seq, single cell-seq, ATAC-Seq, genotype data, etc...)
  • You are passionate about applying your skills in genomics analysis to utilize bioinformatics methods (e.g. from Bioconductor) to understand the biology of disease
  • You are comfortable writing code in languages such as R, Matlab, Perl, or Python for bioinformatics analyses
  • You are able to present complex results, both verbally and in writing, to bioinformatics audiences and non-bioinformatics audiences

Job ID: 3428635043

For detail click here


Postdoctoral position in Genomics

We seek to understand how packaging of the genome influences the information transmitted across generations. The cells that carry this information (sperm, eggs, and their developmental precursors, collectively known as germ cells) face a unique set of challenges. First, they must use the genetic information encoded in their nuclei to control their own development. Second, they must package the nuclear genome for transmission through the delicate process of fertilization, and prepare it to initiate the first stages of embryogenesis. Finally, they must protect the heritable nuclear genome from mutagenesis. All three of these factors impact the biology and long-term evolution of the germ cells and of the genome itself, as well as the extent to which epigenetic information is transmitted across generations.

We seek self-motivated, productive investigators who are able to clearly communicate scientific results. We welcome applicants with either strong experimental or strong computational skills, or with experience in both. We especially encourage applications from individuals with experience in generation and/or analysis of functional genomics data (e.g. RNA-seq, ChIP-seq), molecular evolution, mouse handling and genetics, or siRNA/CRISPR screening. Applicants should have or expect to receive a Ph.D. or equivalent degree in biology or bioinformatics and should have at least one published first-author paper.

Email bluma.lesch (at) yale.edu with a current C.V., names of three references, and a cover letter describing your experience and what you find interesting about the lab.

For detail click here


Update on November 03, 2018

Postdoctoral Scholar in Epigenomics/ Genomics

OUR lab (cutting edge technology + experiment + computation) pioneered the fast growing field of bacterial epigenomics (m6dA as most abundant form, Nature Biotechnology, 2012). We also pioneered the use of DNA methylation (m6dA) for high resolution microbiome analysis (Nature Biotechnology, 2017). Recent work by us and others discovered that m6dA exists as a novel form of DNA methylation in mammalian genome (Nature 2016), and multiple evidence suggests it has a significant diseases link. We have unique expertise in third generation sequencing based detecting of different types of DNA modifications. We emphasize biological and biomedical impacts in the design of novel methods. We prioritize our efforts on identifying emerging challenges in a relatively young research field and developing novel methods that can fundamentally address these challenges. Our long term goal is to obtain biological insights that can be translated for more accurate disease diagnosis and more effective treatment.

Our lab, located at Icahn School of Medicine at Mount Sinai (USNews Top 20 Medical School) is part of the Genomics Department and the Institute for Multi-scale Biology, one of the top institutes on systems biology in the nation.

Openings for Students/Postdocs/Scientists: epigenomes of pathogens, microbiota and human (beyond cytosine methylation towards uncharacterized nucleic acid methylations & other chemical modifications); third-generation sequencing (single molecule; long reads, >20kb; real-time; PacBio + Nanopore + Illumina); systems biology of human diseases (genetic interactions and integrative networks, both big and "small" data approaches, both "simple" and deep learning).

General requirements: (1a) Candidates with computational background are expected have solid programming and analytical skills and an open mind to learn biological knowledge and cutting edge technology. (1b) Candidates with biology background are expected to have storng training in molecular and cellular biology, and an open mind to learn cutting edge technology, computational and statistical skills. (2) Abilities to lead an independent research direction while adapting to a collaborative environment. (3) An innovative yet critical thinker.

For detail click here


Computational Biologist

USF Information Technology (USF IT) provides technology services and support for the USF System including the USF institutions in Tampa (including USF Health), St. Petersburg and Sarasota-Manatee. The IT team, led by the System Vice President and CIO, provides the following services: Administrative Services, Client Support, Communication Services, Teaching and Learning, Analytics and Reporting, Mobile and Web Services, Consulting Services, Cybersecurity Service and Research Technologies.

This position supports the research use of advanced computing resources through collaborations with the research community. This position specifically supports computational biology and large-scale data science research activities including computational genomics and epigenetics as well as the application of machine learning and deep learning techniques to a variety of data sets. The position also pursues grant funding for activities both individually and in cooperation with other researchers.

POSITION QUALIFICATIONS:

MINIMUM:

This position requires Bachelor's degree in Computer Sciences or Management Information Systems and five years of related systems programming experience. A Master's Degree in Computer Sciences or Management and three years of experience would constitute a preferred level of education and experience. Preferred certificates and licensure would include designation as a Certified Information Systems Security Professional or Disaster Recovery and Continuity Planning Professional.

PREFERRED:

Master's or PhD degree from an accredited institution in a computational science, biology, or related field. Minimum of two years of experience providing support to computational biology researchers.  Minimum of two years of experience in providing support for computational researchers using HPC resources. Minimum of two years of experience using advanced computing resources for individual research. Experience with clustering and dimension reduction techniques such as K-Nearest Neighbor (KNN) and Principal Component Analysis (PCA) as well as machine learning techniques such as support vector machines, sentiment analysis, latent Dirichlet allocation and random forests preferred.  Experience with common computational genomics file formats, such as FASTA, FASTQ, SAM, BAM, and VCF, as well as using common computational genomic tools such as cufflinks, BWA, samtools, and cuffdiff preferred.  Verifiable experience in creation of research collaborations.

Job ID 18827

Position Number: 00037522

For details click here


Update on October 31, 2018

Microbiome Data Analyst

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job Summary
Our laboratory is seeking a full-time data analyst to assist with curation, analysis, and interpretation of microbiome data. Our translational research laboratory generates microbiome data (16S rRNA gene amplicon data via MiSeq), and has need for a full-time analyst. Software used will include mothur, R, and vegan.
Responsibilities*
Job responsibilities will include initial processing of sequencing data using mothur, followed by basic microbiome analysis using R and vegan. Employee will be responsible for managing data analysis workflow, including submission of sequence data to public archives (e.g. SLA).
Current laboratory members have extensive experience with these analyses, and anticipate that we can teach motivated candidates with a willingness to learn. Some familiarity with fundamentals of coding would be helpful.
Required Qualifications*
Bachelor's degree and 1-2 years of experience is required.
Desired Qualifications*
Prior experience with microbiome analysis encouraged but not mandatory.
Coursework or prior experience in computer programing, statistical programing, or bioinformatics strongly encouraged

Job Opening ID 164564

Posting Begin/End Date 10/26/2018 – 11/09/2018

For detail click here


Computational Scientist (Assistant/Associate/Full)

The Jackson Laboratory is seeking Computational Scientist (Assistant/Associate/Full) to join our Genome Technologies team. This position offers the opportunity to make leading contributions to cutting edge research in genomic technology development, genomic data production, human genomics, disease biology, and translational research.

About the Position: Computational Scientists participate in a collaborative bioinformatics program aligned with institutional strategy and direction, and make leading contributions to the cutting-edge projects at The Jackson Laboratory. Typical projects include analysis of high-throughput / next-generation sequencing data DNA Sequencing, RNA Sequencing, ChIP Seq, ATAC-Seq, etc from Illumina, PacBio, Oxford Nanopore and others. This role will entail data integration, evaluating analytical tools and technology, performing data QC analysis, developing novel algorithms or sequence analysis tools, discussing and determining experimental design, and delivering training to the research community. Specific projects will be selected based on candidate’s interest and skillsets.

Key Responsibilities:
• Perform statistical analysis, algorithm implementation, bioinformatics programming (e.g. creating new pipelines or tools), running programs and packaging results for clients.
• Evaluate data for quality assurance; develop new metrics and methods to evaluate novel data types; evaluate analytical tools and technology, and deliver training to the research community
• Sustain collaborations with the research faculty and staff on both the Farmington, Connecticut and Bar Harbor, Maine campuses
• Working effectively in a team environment with individuals with varying levels of experience
• Contribute to the drafting of manuscripts and grants
Requirements:
• MS or PhD in Bioinformatics, Computer Science, Biostatistics or relevant area
• Proven track record of “omics” data analysis, statistical genetics & biostatistics, independent collaborative work, and leading contributions to a biological discipline is preferred
• An in-depth knowledge of, and prior experience with, High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc), experimental design, data integration, algorithm development, and development of sequence analysis tools (bioinformatics programming)
• Scientific curiosity, strong work ethic, and a passion for genomic technology and bioinformatic analysis
• Must have experience in bioinformatics research and demonstrated aptitude and capacity for developing bioinformatics expertise
• Demonstrated experience managing projects and collaborations

For detail click here


Update on October 29, 2018

Postdoctoral Scholar in Bioinformatics / Computational biology

BACKGROUND: The Stergiopoulos lab at the Department of Plant Pathology at the University of California Davis is seeking for a highly skilled and motivated post-doc in the field of fungal genomics and transcriptomics. The lab studies the molecular mechanisms of fungal pathogenesis on plants with an emphasis on characterizing computationally and by functional analyses critical molecular and cellular functions required for virulence. As part of our studies we use a systems-level approach that integrates comparative genomics, genome-wide transcriptome profiling, targeted proteomics, and functional analysis of selective gene candidates to study the mechanisms that control gene expression and transcriptome diversity of fungal virulence associated genes.

JOB DESCRIPTION
The successful candidate will work on sequencing using cutting-edge next-generation sequencing technologies and assembling at the chromosome level the genomes of important fungal pathogens of agronomic importance as well as mining these genomes for candidate pathogenicity genes. The candidate is also expected to analyze and mine dual RNAseq data of compatible plant-pathogen interactions that are already available in the lab. The position will become available in January 2019 and is initially for one year, renewable for a second year upon satisfactory performance. Salary is based on experience and qualifications according to UC Davis pay-scales. UC Davis provides a highly vibrant intellectual atmosphere, a pleasant college environment and career development activities specifically designed for post-doctoral scholars.
EXPERIENCE
Highly motivated candidates with an interest in applying cutting-edge next-generation sequencing-based technologies to host-microbe interactions research are encouraged to apply. Ideal candidates should have received recently a Ph.D. in bioinformatics, computational biology or related fields. A strong record of scientific accomplishment by peer-reviewed publications as well as experience in analyzing high-throughput genomics and transcriptomics data is a plus for this position. Candidates should also be proficient in at least one of the common programming languages used in bioinformatics (C, C++, Java etc.) and have excellent verbal and written communication skills.

Job #JPF02521

Final date: December 31st, 2018

For detail click here


Bioinformatics Scientist

The Bioinformatics Core Facility at the Lineberger Comprehensive Cancer Center provides bioinformatics and computational biology services for the cancer center. As a member of the Bioinformatics Core Facility, the Research Associate will be responsible for development and execution of software for advanced data analysis tasks to support the evaluation, development, and operation of clinical genomic testing. This individual will be the primary technical liaison between the Bioinformatics Core Facility and the UNC Medical Center Molecular Genetics Laboratory.

The Research Associate will support the development, validation, and performance of clinical cancer genetics and genomics tests, primarily based on next generation sequencing-based approaches. Projects will be identified by leadership of the LCCC Bioinformatics Core and UNC Medical Center Molecular Oncology program.

A PhD and 5 years of experience or a MS and 10 years of experience in computer science, mathematics, physics, bioinformatics, genetics, statistics, or computational biology is required.

The candidate must have knowledge and experience in DNA or RNA sequence analysis, linux shell scripting, working in a cluster computing environment, R, and at least one of Python, Java, C/C++, or Perl. The candidate must have strong communication skills, especially with other individuals with limited computational experience, and be willing to work within a clinical environment. Experience working in a clinical, translational, or research support environment, with cloud technologies (Docker, OpenStack), Javascript, and with SQL is preferred.

Vacancy ID NF0003363

Position ID 20030395

Application Deadline 11/02/2018

For detail click here


Update on October 26, 2018

Postdoc Position: Computation Biologist

The Institute of Molecular Biology gGmbH (IMB) is a Centre of Excellence for Life Sciences, funded by the Boehringer Ingelheim Foundation. It is located within the campus of the Johannes Gutenberg-University, Mainz, Germany. The Niehrs laboratory studies regulation of DNA methylation, which plays important roles in development & disease. We have recently demonstrated a role for long non-coding RNAs and R-loop DNA:RNA hybrids in DNA methylation (Arab et al. 2014, Mol Cell, (2014) 55: 604-614).

Candidates will make use of mouse embryonic stem cells (ESCs) to interrogate genome-wide the role of ncRNAs and R-loops in targeting GADD45a and the DNA demethylation machinery in the genome. We will use CRISPR/CAS9 mediated ESC mutants, as well as ChIP-seq, RNA-seq, bisulfite-seq to carry out multi- dimensional data analysis to address: Where in the genome does demethylation occur? What are the molecular determinants in ncRNA & Rloops involved in targeting? What are the cofactors involved? The project will involve strong interaction between the Molecular- and the Computational Biologist.

You have
• PhD & publications in a relevant field
• Sound experience in R scripting or Python (Computational Biologist)
• Sound experience in molecular biology (Molecular Biologist)
• Familiarity with Omics techniques or –analysis, or with ncRNAs or R-loops is advantageous
• Excellent communication skills and good team spirit with the ability to solve problems independently
• Fluent in English (spoken and written)

Application Deadline: 31st December 2018

For detail click here


Bioinformatician

The University of Minnesota, Twin Cities (UMTC) is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

The Department of Agronomy and Plant Genetics is one of three units within the Plant Sciences Cluster in the College of Food, Agricultural and Natural Resource Sciences. The collective research, education and outreach programs provide expertise in basic genetics, biotechnology, plant breeding, cropping and agricultural systems, invasive species and managed landscapes for the continued improvement of current crops, the discovery of useful attributes in plants, and the development of potential new crops and new cropping systems that are environmentally and economically sustainable.

Qualifications Required :MS degree and 2 years of related experience or BS/BA degree and 4 years or related experience. Preferred: MS degree and 2 years of related experience or BS/BA and equivalent years of experience in computer science, computation biology, or related field is required. Experiende with genomic sequence data and/or high throughput phenomics data, machine learning, and/or database development is preferred.

Job Code 8352R4

For detail click here


Update on October 24, 2018

Post-doctoral position in Computational Epigenetics

Our ATIP-Avenir team is looking for a post-doctoral researcher (position funded for 2.5 years) to work on epigenetic heterogeneity and cell plasticity in neuroblastoma in the context of tumor aggressiveness and sensitivity to treatment. Our group focuses on cancer epigenetics with the aim to understand the role of epigenetic changes in cancer development. We welcome both molecular biology and bioinformatics approaches. Currently the team works on neuroblastoma, adrenocortical carcinoma, osteosarcoma, renal cell carcinoma and leukemia. You would join the neuroblastoma project, on which you will collaborate with the team of Isabelle Janoueix-Lerosey (“Genetics and Biology of Pediatric Tumors”, Curie Institute, Paris) – a world-class expert in neuroblastoma biology.

This offer provides an opportunity to work on a multifaceted biological problem by developing and applying methods for integrative high-throughput data analysis. Your aim would be to investigate neuroblastoma cell identity, plasticity and heterogeneity using bioinformatics and computational biology approaches. In particular, through the analysis of cancer cell ChIP-seq and RNA-seq data you will (1) determine the mechanisms involved in neuroblastoma cell plasticity in vitro; (2) characterize intratumor heterogeneity and plasticity upon treatments using in vivo models; (3) evaluate intratumor heterogeneity in patient samples and investigate the links between heterogeneity and clinical parameters.

The candidate can come both from the bioinformatics or molecular biology fields but should be highly motivated to work with big data and dig into cancer epigenetics. A doctoral degree, experience in bioinformatics analysis (in R), and proficiency in English, are required. Programming skills (Perl/Python), computational and mathematical background and/or experience in cellular and molecular biology would be a plus.

Deadline for applications: December 1, 2018

For detail click here


Bioinformatician

Howard Hughes Medical Institute (HHMI) is a science philanthropy whose mission is to advance biomedical research and science education for the benefit of humanity. We empower exceptional scientists and students to pursue fundamental questions about living systems, and work to share scientific discoveries with researchers, students, and science-curious individuals around the world. Founded in 1953 by aviator and industrialist Howard R. Hughes, HHMI is headquartered in Chevy Chase, Maryland, and employs more than 2,500 people across the U.S. Visit hhmi.org/careers to learn more about working at HHMI.

We are seeking a highly motivated bioinformatician to join Dr. Job Dekker’s group in the Program in Systems Biology at the University of Massachusetts Medical School. This position will involve working with a multi-disciplinary team of molecular biologists, statisticians and bioinformaticians as we develop and leverage technological breakthroughs to explore the biology of complex systems. The bioinformatician will be responsible for the design, development, testing, evaluation and maintenance of bioinformatics tools. These tools are used to process, analyze and organize deep-sequencing data to study three-dimensional genome organization. Visit our lab website to learn more about our work:

Principal Responsibilities

  • Design and implement reusable bioinformatics analysis pipelines for processing next-generation sequencing, microarray, genomics, proteomics and chemogenomics data.
  • Integrate computational methods/pipelines with high performance computing clusters
  • Collaborate closely with Investigator and lab members on research projects including defining the scope of the collaboration, researching the scientific topics and implementing the appropriate bioinformatics solutions that meet project timelines
  • Participate in the oral presentation of all project findings and abstracts including participation in periodic project status meetings and presentation of final project deliverables

Preferred Qualifications

  • Master's degree in Computer Science or Bioinformatics or a related computational discipline, or equivalent experience
  • Strong background in programming and algorithms. Fluent in one programming language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl)
  • Knowledge of Unix operating system, terminal and bash
  • Excellent oral and written communication skills as well as the ability to collaborate effectively with a diverse team
  • Familiarity with programming techniques for analyzing data sets that do not fit in memory
  • Numpy/Scipy/HDF5 experience is a plus
  • Experience working with BIG DATA (NGS data in multi-TB scale)

For detail click here


Update on October 22, 2018

Bioinformatics Analyst

The Bioinformatics Core in the UVa School of Medicine seeks a Bioinformatics Analyst. The analyst will work closely with the core director and other staff to assist in experimental design and provide expert consultation, technical, and scientific support for UVA investigators, and assist in outreach and training activities. The analyst will identify opportunities and implement solutions for managing, visualizing, analyzing, and interpreting genomic data using high-throughput sequencing data in human, model organisms, and microorganisms.

Qualified candidates must have at least a Master's degree in Bioinformatics, Genomics, Biostatistics, or related field. In addition, qualified candidates will have at least five years of experience collaborating with research scientists in performing bioinformatics/genomics data analysis. PhD and three years collaborative experience beyond postdoc can substitute for years of experience.

PhD Bioinformatics, Genomics, Biostatistics, or a related field. 5 years of experience collaborating with research scientists in performing bioinformatics/genomics data analysis. PhD will substitute for 2 years of experience.

Posting Number: 0622698

For detail click here


Assistant or Associate Professor: Joint appointment in the Institute of Bioinformatics and the Department of Marine Sciences

We seek to recruit a computational and experimental marine microbiome researcher to complement research strengths at UGA in bioinformatics and marine sciences. We aim to hire an individual with a strong record of innovation and ability to develop and apply new computational tools (simulations, flux analyses, data integration and visualization, among others) and microbial ecology approaches to marine microbiome research. Possible areas of research include ocean productivity, global carbon and nutrient cycling, diseases of aquatic organisms, or intersections with public health.

The successful candidate will be appointed at the rank of Assistant or Associate Professor depending on credentials and accomplishments. This is an interdisciplinary position, with the appointment being split between the Department of Marine Sciences and the Institute of Bioinformatics. The position includes a competitive salary, sufficient laboratory space for computational and experimental research, and a generous start-up package.

Applicants must hold a PhD or equivalent degree in a computational, marine or biological science area and have at least 1 year of postdoctoral training as well as a record that provides evidence of scholarship, synergistic activities, and the potential to obtain extramural funding. To be considered for the Associate Professor level, applicants must show evidence of the ability to attract sufficient extramural funding to support a sustainable research program and provide convincing evidence of an emerging national reputation in their field. Teaching responsibilities will be in undergraduate and graduate programs and include both bioinformatics and marine science microbiome components.

For detail click here


Update on October 19, 2018

Computational Biology Postdoctoral Researcher

Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations.

The Theoretical Biology and Biophysics Group is one of six groups in the Laboratory’s renowned Theoretical Division. It was founded in 1974 and played a key role in establishing GenBank, the international HIV databases, and the rationale for combination therapy of HIV/AIDS. The scientific staff includes members of the US National Academy of Sciences and the American Academy of Arts & Sciences, as well as a winner of the E.O. Lawrence Award. Research in the group is focused on bioinformatics, simulation studies of biomolecules, and systems-level modeling, which is typically performed in collaboration with quantitative experimentalists.

The successful candidate will develop models connecting evolution and epidemiology with the ultimate goal to predict and prevent human epidemics. Many viruses evolve rapidly and differently during various modes and rates of spread. This project will elucidate how the genetic evolution is linked to different spread patterns. The main virus to be studied is HIV, but other pathogens may become included in the project. We are looking for candidates with expertise in computational biology, evolutionary biology, and/or phylogenetics with interests in mathematical epidemiology.

Minimum Job Requirements:

The ideal candidate would have experience in the following areas:

  • Experience with computer modeling
  • Experience with genetic evolution modeling and phylogenetics
  • Demonstrated ability to publish peer-reviewed papers
  • Effective written and oral communication skills
  • Scientific programming

Vacancy Name: IRC69262

For detail click here


Bioinformatics Scientist II

The Bioinformatics Scientist II position in the CHOP Microbiome Center is an entry level position for a PhD level professional and a 2nd stage position for those with moderate experience without a PhD. The focus of the position is service-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains.

The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a moderate degree of supervision with some latitude for independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist II will begin to apply best practices in collaborative science as a bioinformatics domain expert. Academic output, while not a primary focus of this position, is also expected with a moderate degree of supervision. The Bioinformatics Scientist II is primarily focused on supporting scientific teams and projects as a bioinformatics domain expert.

Required Experience:

  • At least three (3) years of experience in applied bioinformatics, genomics, and computational work.
  • Experience with management and analysis of complex data types.
  • Experience with genomic/proteomic data analysis methods.

Preferred Education, Experience & Cert/Lic

Preferred Education: Master’s or Doctorate Degree in biological or computational discipline

Preferred Experience:
•    Experience with Python, R, or other programming languages preferred.
•    Experience with pipeline or workflow development frameworks preferred.
•    Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred

Req ID: 22131

For detail click here


Update on October 17, 2018

RESEARCH FELLOW - Genomics and Molecular Mechanisms in Autoimmune Disorders

Cincinnati Children's Hospital Medical Center is a premier pediatric research institution with over 900 diverse and productive faculty members. Here, researchers work collaboratively across specialties and divisions to address some of the biggest challenges we face today in improving child health. A strong network of research support services and facilities, along with institutional commitment to research, push our team of faculty, postdocs and support staff to explore the boundaries of what is possible, leading to significant breakthroughs. We are driven by our mission to improve child health and transform the delivery of care through fully integrated, globally recognized research, education and innovation. Post-doctoral research fellows at Cincinnati Children's are valued for their unique interests and strengths, and are supported by our institution's strong programming for post-docs through the Office of Postdoctoral Affairs and the Office of Academic Affairs and Career Development.

Genomic technologies (ChIP-seq, EMSA, DAPA, ATAC-seq, DNA methylation, and others) are being applied in Dr. Harley's laboratory to reconcile genetic associations with the environmental causes of idiopathic autoimmune disorders with the goal to elucidate mechanisms initiating these pathological processes. The candidate would join a team that has uncovered unexpected and powerful associations of transcription factors with genetic loci, with the goal to establish the genetic mechanisms. The team in place has the strategic, informatic, clinical, and technical expertise to provide strong support for the candidate in addition to the other resources and personnel of the Center for Autoimmune Genomics and Etiology (CAGE).

MAJOR DUTIES AND RESPONSIBILITIES:
1. Design, execute, and record laboratory experiments; apply standard scientific protocols to experiments, research, and improve current methods and evaluate innovative techniques.
2. Draft, write, and edit scientific reports, papers, journal articles, and abstracts.
3. Design and perform experiments and record data according to research protocol. Independently reproduce, evaluate, research, and improve techniques currently used. Adapt new methods to existing procedures and modify current experiments through scientific knowledge and intuition. Maintain accurate and detailed records of all laboratory work and experiments.
4. Develop, set-up, and verify new procedures in the laboratory. Standardize and establish new published procedures; evaluate innovative techniques. Develop new assays and new protocols; design formats.
5. Discuss relevant insights about experimental results with Faculty and provide useful recommendations and analysis.

EDUCATION/ WORK EXPERIENCE:
Ph.D. in related discipline, MD, or equivalent required. The ideal candidate will have a PhD with a familiarity of genomic molecular laboratory methods (e.g., ChIP-seq, CRISPR-Cas9, EMSA, DAPA, etc.) and be computationally sophisticated. Deep familiarity with genome wide association studies for any complex genetic disease phenotype would be helpful. Preference will be given to applicants with experience with informatic expertise, including genome wide association studies, the analysis of next generation sequence data, large genotyping datasets, and data mining, in general, along with demonstrated scholarly productivity by discovery and publication.

Requisition #: 100723

For details click  here


Postdoctoral position in Bioinformatics (RNA biology)

A position in bioinformatics/quantitative biology is available in the laboratories of Drs. Helge Grosshans and Marc Bühler at the Friedrich Miescher Institute for Biomedical Research (FMI) in Basel, Switzerland.

The successful candidate will provide bioinformatics support for projects in RNA biology in diverse experimental systems ranging from yeast and nematodes to mammalian cells (see for instance Aeschimann et al, Mol Cell; Hendriks et al, Mol. Cell; Tuck et al, Life Science Alliance). These projects are run as part of the recently established National Center for Competence in Research (NCCR) “RNA & Disease”. He/she will be embedded in the FMI Bioinformatics Platform-Swiss Institute of Bioinformatics and work on the computational analysis of large datasets, for example from genome resequencing, (single cell) RNA sequencing, ribosome profiling, Hi-C, or ChIP-sequencing. The position is funded for four years and available immediately.

The candidate should have a PhD in computational biology or in a relevant biological field with quantitative/computational experience, and a strong interest in RNA biology and epigenetics. We expect strong curiosity and motivation to work with and for others.

For details  click here


Update on October 15, 2018

Postdoctoral Fellows and Bioinformatics Specialist

We are currently looking for talented researchers at different levels to join the Non-Coding Research Lab and the Non-Coding RNA core. Currently there are positions available for 2 Postdoctoral Fellows and a Bioinformatics Specialist

The Fellows and the Specialist will have the chance to be incorporated in cutting-edge research conducted in the Vlachos Lab, as well as in the Cancer Research Institute in Beth Israel Deaconess Medical Center (Director: Pier Paolo Pandolfi) and the non-coding RNA Core (Directors: Frank Slack and Winston Hide) of the Harvard Initiative for RNA Medicine. Our unique location within the CRI, a vibrant Department of Pathology in a leading Harvard Teaching Hospital and the first Institute for RNA Medicine in Boston creates a unique environment for avant-garde research and scientific growth.

All positions aim for candidates with a strong quantitative background stemming from extensive studies in disciplines such as Computer Science, Applied Math, Data Analysis or Biostatistics. Experience in non-coding RNA research is not a prerequisite.

1. Statistical Genetics Postdoctoral Fellow: the Statistical Genetics Fellow will lead projects aiming to model the effects of non-coding variation to complex diseases and especially neoplastic conditions. The ideal candidate should have a strong background in Statistical/Computational Genetics and Biostatistics and extensive programming experience. Experience in Machine Learning, Bayesian/Graphical Models and a good understanding of Next Generation Sequencing methods and their analysis will be considered as significant advantages.

2. Genomics & Computational Biology Postdoctoral Fellow: The CompBio Fellow will lead our projects focusing on integrating single cell and bulk sequencing datasets that can help us answer fundamental questions in the non-coding RNA field and to translate our findings to precision medicine applications. He will lead projects that require critical thinking and the ability to integrate diverse data and sources of information as well as our immunoinformatics studies. The ideal candidate should have a very strong computational background and extensive experience in analyzing different NGS methods. A solid math/stats background will be considered a plus.

3. Bioinformatics Specialist: The Bioinformatician will implement state-of-the-art analysis methodologies for bulk and single-cell experiments. The majority of the methods will revolve around the non-coding RNA cosmos as well as the prioritization of clinically-relevant non-coding variation. The ideal candidate should have extensive experience in performing Bioinformatics analyses and a BSc or MSc in quantitative sciences. Good programming expertise will be considered as a significant advantage

For further information email at: ivlachos@bidmc.harvard.edu

For detail click here


Postdoctoral  in Bioinformatics

The Department of Biosciences and Nutrition performs research and education in several areas of medical science including bioorganic chemistry, molecular endocrinology, cancer biology, functional genomics, systems biology, epigenetics, structural biochemistry, cellular virology, and nutrition. It offers an excellent international research and working environment, including around 300 scientists, students, administrative and technical personnel. The Department resides in the new biomedical research building Neo, aimed at being a creative and open environment that enables meetings, synergies, and exploration of areas of mutual interest across disciplines.

Description of project and work This postdoc project is a collaborative project between Andreas Lennartsson’s research group at the department of Biosciences and Nutrition, Karolinska Institutet and Sören Lehmann’s group at the department of Medical Sciences at Uppsala University.

Duties Bioinformatics is central in our research and you will work close together with other postdocs and PhD students in both groups. You will be involved in planning experiments, final analysis and visualization of the results. You will have the possibility to participate national and international collaborations. You will analyze data from multiple technology platforms that are obtained using techniques such as Chromatin Immune Precipitation (ChIP)-sequencing, RNA-seq/CAGE, RRBS and Whole Genome Bisulphite sequencing.

Qualifications The applicant should hold a PhD from a related area, with experience in bioinformatic analysis of genome-wide data and have good understanding of statistics. Prior experience in hematology and cell biology is advantageous. Candidates should be able to interact and work efficiently in a team. Good knowledge of both spoken and written English is required.

Reference number 2-5418/2018

Last application date 01.Nov.2018 11:59 PM CET

For more information click here


Update on October 12, 2018

Postdoctoral Research Associate - Integrative Omics

The Center for Omics Discovery and Epidemiology (CODE) in the Behavioral Health Research Division of RTI International has an immediate opening for a Postdoctoral Research Associate focused on integrating multiple types of omics data (such as, genomics, epigenomics, and transcriptomics) to identify biological determinants of complex human diseases, including substance use disorders and related health consequences (such as, HIV), and their interactions with environmental factors. Our research team carries out NIH-funded projects, led by Drs. Dana Hancock (CODE director) and Eric O. Johnson (Senior RTI Fellow), using in-house and external datasets with standardized bioinformatics pipelines and high-performance computing (HPC).

Responsibilities to include, but not be limited to;

  • Lead and support analyses of multiple omics data, using advanced statistical and bioinformatic methods in an HPC and cloud-based environment.
  • Apply existing methods from the field and/or develop new methods for analyzing various omic data types.
  • Assist with designing and managing new and ongoing data collection activities.
  • Collaborate with international teams of leaders in substance use disorders and HIV.
  • Publish findings in peer-reviewed journals in lead and support authorship roles.
  • Present findings at professional society and other scientific conferences.
  • Assist with submission of grant proposals.

Required Qualifications/Education

  • Completed Ph.D. (or by December 2018) in Genetics/Genomics, Biostatistics/Statistical Genetics, Bioinformatics/Computational Biology, Applied Mathematics, Computer Science, or related discipline
  • Demonstrated background in substance use disorders, HIV, or related health consequences is preferred. An interest in these topic areas is necessary.
  • Strong quantitative skills with omics data and concrete knowledge of statistical methods is required.
  • Experience with an HPC environment and computer programming skills in R or Python is required. Cloud computing experience and familiarity with Linux is preferred.
  • Strong oral and written communication skills are required.
  • Ability to manage multiple project tasks simultaneously is required.
  • To qualify, applicants must be legally authorized to work in the United States.

For details click here


Bioinformatics Specialist

The holder of this position will perform computational biology specializing in high-throughput next-generation sequencing and micro-array analysis. This position will interact with a multidisciplinary team consisting of geneticists, genomic & molecular biologists, and biomolecular specialists to render final analysis of data coming from various platforms and identify mutations and other genomic features in a background of normal (wild-type) genes.

Duties: This position performs computational biology specializing in high-throughput next-generation sequencing and micro-array analysis. This position will interact with a multidisciplinary team consisting of geneticists, genomic & molecular biologists, and biomolecular specialists to render final analysis of data coming from various platforms. Identify mutations and other genomic features in a background of normal (wild-type) genes.

Qualifications: Bachelor’s degree in a biological sciences or related field required. Master’s degree in biological sciences or informatics preferred, or equivalent 2 years specific experience in DNA sequence/microarray informatics. BS or M. Sc. or equivalent in a computer science or mathematical discipline such as statistics preferred Demonstrated understanding of sequence analysis methods required Familiarity with the Linux &/or Unix computing environments required and previous experience implementing processes in a grid environment strongly desired. Experience with short-read DNA sequencing, gene expression, copy number variation, and other genetic anomalies desired. Experience in genome assemblies and consensus sequences desired Proficiency in Perl or other programming or scripting language required Experience with SQL query language required. Experience developing with tools such as MATLAB and R or other scriptable statistical packages required Experience with bioinformatics software such as BLAST, CLUSTALW, GMOD, ENSMBL, UCSC Genome Browser, EMBOSS, Galaxy, GenePattern

For detail click here


Update on October 10, 2018

Bioinformatics Analyst

The Bioinformatics Core in the Advanced Technology Cores at Baylor College of Medicine has a position available for a motivated bioinformatics analyst, with a focus on integrative analysis of epigenomic, transcriptomic, metabolomics, metagenomics, and proteomic large scale datasets. This position offers the opportunities to get experience in computational biology, interacting with the scientific community at large at Baylor College of Medicine, and lead to methodological advances such as novel software or analytical methods. Tools developed will be made available via web services such as the Galaxy server.

The successful candidate will be expected to participate in multiple projects involving integration of high-volume data sets, design and implementation of data processing pipelines, and analyses of proteomic and epigenomic data. The ideal candidate will have a graduate degree, PhD or MS in Biology, Biochemistry, or other life sciences. Experience with statistical analysis tools such as R or Matlab, and scripting languages such as Ruby, Perl, or Python is strongly recommended. Experience with the UNIX/Linux cluster computing using PBS is preferred. Due to the nature of the position, the candidate must have excellent written and verbal English skills, strong communication and interpersonal skills, and be capable of working with large collaborative teams.

Required:

  • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or related fields.
  • Two years of experience in scientific programming with applications to biological research.

Posting Number: 302902JC

For detail click here


Computational Biologist

The Van Andel Research Institute (VARI) is an independent and world-class biomedical research institute dedicated to determining the fundamental molecular origins of disease and translating those findings into effective therapies. VARI is home to more than 300 scientists and staff that work in on-site laboratories and collaborative partnerships that span the globe.

The Pospisilik lab, a founding member of this metabolism focus, tries to understand the epigenetic and evolutionary basis of disease heterogeneity, non-Mendelian phenotypic variation, and intergenerational control, and is seeking a full-time Computational Biologist to join the team. The successful candidate’s will build upon our recent epigenomic analyses from both targeted and consortium (International Human Epigenome Consortium [IHEC/DEEP]) efforts which have identified chromatin-based mechanisms for buffering diabetes and beta-cell dedifferentiation (Lu / Heyne, Cell Metab 2018), establishing bi-stability and disease canalization (Dalgaard, Cell 2016), and producing intergenerational disease responses to diet (Oest / Lempradl, Cell 2014).

QUALIFICATIONS

You possess a Master’s degree in computational biology, bioinformatics, mathematics, statistics, computer science, or relevant discipline (a BSc with experience will be considered).

As the ideal candidate, you will have:

  • working knowledge of 1+ scripting language (e.g. R, python) and systems language (e.g. C)
  • substantial experience analyzing NGS data (e.g. RNAseq, ChIPseq, ATAC, WGBS, Hi-C)
  • an understanding of molecular biology and epigenetics (not absolutely required).
  • a commitment to open, collegial, reproducible science, and the betterment of society.

We are particularly interested in candidates with additional orthogonal experience such as facial recognition and human genetic association analyses.

Tracking Code 460-085

For more information click here


Update on October 08, 2018

Postdoctoral position in Computational Biology

The Newman Lab, in the Institute for Stem Cell Biology and Regenerative Medicine and the new Department of Biomedical Data Science at Stanford University, is seeking highly creative and driven postdoctoral fellows interested in working at the intersection of biomedical data science and cancer/stem cell biology. A major goal of the lab is the development of innovative computational methods that advance our understanding of normal and neoplastic tissue composition at a molecular and cellular level (e.g., Nature Methods 2015, PMID 25822800).

Required Qualifications: 
  • The successful applicant will have completed (or be close to completing) a Ph.D. or M.D./Ph.D. in an applied quantitative discipline, such as computational biology, bioinformatics, or biostatistics, with a strong interest in either basic or translational research.
  • A strong background in machine learning and predictive modeling is desired, as is previous experience in common programming languages (e.g., R, Python) and genomic data analysis.
  • Candidates with training in related fields, or in a life sciences discipline without formal computational training, will be considered depending on fit.
  • Prior evidence of ambition, productivity, and creativity are a must, and a track record of conference presentations and first author peer-reviewed publications will be expected.
  • Applicants should enjoy thinking deeply and working independently but also enjoy collaborating in a dynamic, fast-paced team environment.
Required Application Materials: 
  • Recent CV
  • Copies of relevant papers
  • Names and contact information for 3 references
  • Cover letter briefly describing the applicant’s previous research, scientific interests, and fit for this position

For details click here


Postdoctoral scholar in Computational Biology

Berkeley Lab’s Biological Systems and Engineering Division has an opening for a Computational Biologist Postdoc Scholar . The candidate will leverage machine learning, synthetic biology and automation to make bioengineering a predictable endeavor, for the production of commercially viable bioproducts and other purposes. This position will be part of the Quantitative Modeling Group. Under general supervision of the principal investigator, the candidate will work as part of a collaborative team to integrate phenotypic data (e.g. fluxomics, transcriptomics, proteomics, metabolomics) into quantitative computational models able to predict the outcome of bioengineering approaches, as well as develop and apply automation solutions to gather these data.

What is Required:
• PhD in systems biology, bioengineering, computational biology, bioinformatics, applied mathematics, theoretical physics, computer science, electrical engineering or closely related discipline.
• Significant experience in python or other major programming language.
• Strong mathematical background and analytical skills.
• Strong interest in microbiology and bacterial metabolism.
• Strong written communication skills.
• A commitment to and demonstrated an ability to perform collaborative research in an interdisciplinary team environment.

Additional Desired Qualifications:
• Experience in modeling of biological systems.
• Experience in Machine Learning.
• Experience in Deep Learning techniques.
• Experience in 13C Metabolic Flux Analysis.
• Knowledge of microbiology and bacterial metabolism.
• Experience in metabolic flux analysis.
• Experience in experimental bench work.

Requisition #: 85710

For details click here


Update on October 05, 2018

Associate Bioinformatician

The Associate Bioinformatician position in Population/Biomedical Genomics is available at the Charles Bronfman Institute of Personalized Medicine at the Icahn School of Medicine at Mount Sinai, New York. The Associate Bioinformatician will report directly to one of our Associate Professors in Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai. The goal of the principal investigator’s research is to address fundamental questions in biology, medicine and human history. Specifically, the principal investigator is interested in detecting patterns of human genetic variation that can be used to inform our inference of human demography and evolution, help uncover the landscape of functional variation, and result in improved outcomes for medical genomics. In particular, she is focused on developing new models for rapid detection, translation and EHR-embedded healthcare management of genomic variants with significant clinical implications.

The successful candidate for this position will have experience in:

  • Population genetics, bioinformatics techniques and establishment of analysis pipelines relevant to a human genomics research
  • Computational techniques coupled with a strong understanding of statistics and genomics
Requirements:
  • MSc or equivalent in biology, genetics, computer science, statistics, bioinformatics, computational biology, or a related field and the ability to work well in collaborative environments
  •  5+ year of experience as a bioinformatics programmer in a population genomics laboratory is preferred
  • Familiarity with biobank structures, data quality control and Electronic Health Record data is desired
  • 5+ years of experience with statistical genetics, biomedical genomics, Mendelian and complex trait mapping and/or next-gen sequencing is a plus

For details click here


Scientist, Computational Biology

Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding.

23andMe is seeking an outstanding Computational Biologist to add to our collaborative, cross-functional research team focused on discovery of novel therapeutic targets and their development in our laboratories. Successful candidates will have demonstrated experience conducting creative and independent research analyzing a broad range of genomic data sets with an emphasis on understanding the underlying biology.

What you'll bring

  • PhD in computational biology, biostatistics, statistics, or related quantitative field
  • Expertise in several of the following:
    • Analysis of RNA-Seq and microarray data
    • Analysis of other large omics data sets
    • Genetics
    • Fine mapping of genetic association signals
    • Linear and nonlinear modeling of statistical data
    • Machine learning
  • Experience developing robust data analysis software in R and/or Python
  • Strong communication skills, and a particular ability to communicate data analysis results to non-specialists
  • Demonstrated experience working on interdisciplinary teams\

Strongly preferred

  • Industry experience in pharmaceuticals or biotechnology
  • Knowledge of biology in at least one disease-relevant area (e.g., immunology, oncology, cardiovascular disease, etc.)
  • Strong publication record

For details click here


Update on October 03, 2018

Postdoctoral Associate, Computational Functional Genomics

The Xavier Lab at the Broad Institute of MIT/Harvard is looking to hire a Postdoctoral Associate with a strong computational background. This laboratory, led by Dr. Ramnik Xavier (Chief of Gastroenterology and Director of the Center for Computational and Integrative Biology at MGH, Co-Director of the Center for Microbiome Informatics and Therapeutics at MIT, and a Core Member of the Broad Institute), is uniquely positioned to leverage both clinical data from one of the world’s leading hospitals and large- scale chemical biology and genetics experiments performed at the Broad. Efforts in the lab are geared toward understanding the mechanisms of host-microbiome interactions in health and disease particularly with regards to inflammatory bowel disease, food allergy, and tuberculosis.

The ideal candidate has an interest in making significant contributions to discovery and therapeutics in biomedicine through navigating and interrogating big data and biological networks. The candidate will develop novel approaches to analyze data from high-throughput sequencing experiments and genetic screens to identify genes and pathways involved in the pathogenesis of gut diseases and the regulation of immunity. This position affords the opportunity to employ machine learning and statistics to cutting- edge technology like genome-wide CRISPR screens and single-cell transcriptomics.

QUALIFICATIONS

• PhD in Computational Biology or a quantitative discipline like Statistics, Computer Science, Mathematics, Physics or Engineering.
• Strong publication record as an objective evidence of scientific and research involvement/potential/achievement.
• Experience with some scientific computing software (R/Matlab) and scripting languages (bash/perl/python).
• Solid foundation in the fundamentals of statistics, algorithms and data analysis, and the ability to approach problems with scientific rigor.
• Excellent communication skills and the ability to explain technical/mathematical reasoning to people from non-quantitative backgrounds.
• A passion for solving important problems facing humanity and advancing our understanding of the human body.

Reference: 7410

For details click here


Computational Biologist

The Department of Medicine, Division of Cardiovascular Medicine is looking for a Computational Biologist to join Dr. Euan Ashley’s team at Stanford University. Dr. Ashley’s research focuses on leveraging emerging technologies such as genomics and wearable sensors to provide insights into precision medicine (https://ashleylab.stanford.edu/).

The role of Computational Biologist will focus on modeling of the large amounts of molecular and clinical data being generated by the consortium. You will work with stakeholders across the network to best understand data structures to model metadata schemas and be the point person for data transactions to the Bioinformatics core. Your understanding of molecular data and experimental design will be a key resource in enabling high quality data to flow into our systems to enable analytical insights.

DESIRED QUALIFICATIONS:

  • Graduate degrees that emphasize engineering, computer science and statistics are preferred
  • Domain expertise in at least two omics such as WGS, RNA-Seq, RRBS, proteomics, metabolomics, microbiome
  • An understanding of data modeling including ontologies and database design
  • Experience with Python and Linux bash scripting
  • Experience with experimental design protocols
  • Basic knowledge of code management such as git and Jenkins
  • Exposure to data analytics toolsets such as R, SciPy/NumPy, Matlab
  • Exposure to web development tools sets such as Django, HTML5, Javascript, CSS, JSON
  • Exposure to cloud computing through Amazon, Google
  • Exposure to container systems such as setting up virtual machines and Docker instances

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

Job Code: 4752

For details click here


Update on October 01, 2018

Data Scientist (Computational Biology/ Bioinformatics)

pREDi Data Science, Roche Innovation Center New York

Job summary
We are seeking an exceptional individual to join our Data Science team at Roche Innovation Center New York. In this position, you will apply your expertise in machine learning and big data analytics to generate new insights to help accelerate our drug development and bring new medicines to patients. You will drive innovation and make direct impact in drug development projects in New York and across Roche global sites. You will mine the massive amount of patient data beyond the traditional clinical observations, e.g, in the forms of electronic patient records, DNA/RNA sequences, and wearable sensor signals collected in the labs, clinical trials, and the public domain. If you are a self-motivated individual with strong quantitative skills, a passion to serve customers, and an excellent capacity to communicate and lead in a multi-disciplinary environment, we look forward to receiving your application.

Responsibilities

  • Partner with clinical and discovery research scientists to identify and address data analysis needs in drug project teams in all major disease areas.
  • Identify relevant data sources, apply a variety of tools and methods to prepare data, develop algorithms and predictive models, perform data analysis, interpret results, create visualization and reports to convey and present findings and/or recommendations.
  • Identify novel biomarkers (molecular/digital) that predict drug response or patient prognosis using RWD (Real World Data), RNA-seq, exome-seq and other clinical data.
  • Mine massive amounts of RWD and genomic data and extract useful insights. Explore and identify analytics opportunities by collecting new data or mining existing data, with a thorough understanding of the scientific and business context of these analytics techniques
  • Lead or contribute to informatics/analytics projects requiring deployment of analytics models in a larger technology platform
  • Contribute to the overall team effectiveness by creating and disseminating new analytics framework, methodology and practices.
  • Actively contribute to the development of new capabilities in advanced analytics methods in global Data Science networks.

Requirements
• Ph.D. in data-related sciences such as Computational Biology, Bioinformatics, Data Science, Statistics, Applied Mathematics, Computer Science, Engineering and Physics.
• Strong quantitative analytical skills, e.g., in machine learning, statistics, and predictive modeling.
• Experience managing data-driven research from project inception to stakeholder communication.
• Ability to develop scientific software and analysis tools in one or more of programming languages, e.g., Python, R, Matlab, Java, and SQL.
• Experience in analysis of large scale genomic data such as whole genome/exome sequencing, RNA-seq.
• Proven track record in developing new algorithms, predictive models that resulted in scientific recognition or business impact.
• Scientific domain knowledge (e.g., Oncology, Immunology and Neuroscience) and business acumen.
• Big data experience (e.g., Hadoop/Spark, NoSQL).
• Excellent communication and presentation skills.
• Experience in biopharmaceutical industry and understanding of the drug discovery and development process is a plus.
• Experience in analysis of Real World Data (RWD) such as Electronic Health Records (EHRs), social media, and insurance claims is a plus.

How to Apply:

You MUST apply online via our website.

Direct Link to apply


Postdoctoral Research Scientist in Biomedical Data Science

Department of Computer Science at Hunter College and The Center for Translational and Basic Research (CTBR) in CUNY are seeking a Postdoctoral Research Scientist in the fields of biomedical data mining, omics data integration, and systems biology. The candidate is expected to develop new computational methods for the multi-scale modeling of drug actions and genotype-phenotype associations as well as apply state-of-the-art computational tools to drug discovery and precision medicine. Depending on candidate’s interests and backgrounds, specific projects may include but not limited to: predicting genome-wide protein-ligand interactions, integrating and analyzing multiple omics data for drug target identification, identifying individualized drug response biomarkers, text mining of electronic medical records, knowledge representation and ontology development of drug responses, drug repurposing, and any other open questions in systems pharmacology.

Minimum requirements:
Candidates must have a Ph.D. in bioinformatics, computational biology, statistics, computer science, and/or related fields. The candidate also must have a strong background and experience in one or more of the following areas: genomics, gene expression data analysis, systems biology, machine learning, or multi-variable statistics; strong programming skills using Python or R, and familiarity with computing environments such as MATLAB; effective communication skills; self-motivated and independent.

Preferred qualifications:
Expertise and strong publication record in one or more areas related to high-dimensional data mining, multi-view multi-target learning, structured learning, or deep learning.

Closing Date Nov 09, 2018 (Or Until Filled)

For details click here


Update on September 28, 2018

Postdoctoral Position in Brain Cancer Epigenomics

An NIH-funded postdoctoral fellow position in the Knoepfler Lab at UC Davis School of Medicine is open. The focus of research will be on cancer epigenomics and more specifically on the role of histone H3.3 in childhood high-grade glioma, funded by a new 5-year R01 grant. The projects will include cutting-edge technologies including functional genomics such as RNA-Seq, ChIP-Seq, and chromatin configuration assays as well as CRISPR genetics work. The research will be conducted in a highly collaborative, productive environment at the intersection of the three outstanding centers of life sciences at UC Davis: The Comprehensive Cancer Center, Stem Cell Program, and Genome Center.

Minimum Requirements:
• Ph.D.
• Experience in cell and molecular biology, and experience with genomics, bioinformatics, or cancer research would be ideal

Please send an e-mail to knoepfler@ucdavis.edu with a 1-page overview of research experience and career goals, a CV, and contact information for 3 references.


Postdoctoral Scientist (Bioinformatics)

The Pirbright Institute delivers world-leading research to understand, predict, detect and respond to viral disease outbreaks. We study viruses of livestock that are endemic and exotic to the UK, including zoonotic viruses, by using the most advanced tools and technologies to understand host-pathogen interactions in animals and arthropod vectors. Our major strength in understanding the immune systems of livestock provides a platform to control current diseases and respond to emerging threats.

The successful candidate will join the Vector Molecular Biology Group at The Pirbright Institute. Our group focuses on the analysis of the function of genes involved in mosquito development, and routinely uses transgenesis technologies, with the purpose of identifying targets for novel mosquito control approaches. We are looking for a highly motivated, ambitious and experienced postdoctoral researcher with a range of complementary skills in molecular biology, genetics and bioinformatics to assume a major role in a project to understand regulation and function of genes in Aedes aegypti and to implement that information to create gene drive systems in mosquitoes. He/she will be using state-of-the-art methods, including next-generation sequencing analysis and mosquito genome engineering to test selected target sequences in vivo in transgenic Aedes aegypti.

Main duties and responsibility:

  • Carry out innovative, impactful research that will lead to novel and important scientific outcomes: be responsible for driving the project, contributing to experimental design and data analysis.
  • Conduct, with the help of a member of The Pirbright Institute’s bioinformatics group, next generation sequencing data analysis to identify mosquito target genes (training in the analysis of next-generation sequencing data will be provided if necessary).

Specific requirements:

Essential

  • PhD in molecular biology, genetics, or related discipline
  • Demonstrated ability to conduct innovative research
  • Demonstrated high level of relevant technical skills
  • A track record of publications in quality peer-reviewed international journals
  • Excellent written and oral communication skills
  • Enthusiasm and willingness to learn new skills
  • Strong self-motivation, ability to work effectively independently

Closing Date: 31 October 2018

For details click here


Update on September 26, 2018

 

Bioinformatics Analyst III - Center for Cancer Genome Discovery

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

The primary responsibility of this role will lead the development and validation of multi-omic analytical methodologies for both cutting-edge research and clinical applications (such as development of analyses for liquid biopsies and structural variant detection). Working with scientific and clinical colleagues, the capabilities developed will be applied to precision cancer medicine efforts at our institutions. To make significant contributions to the research and clinical efforts described above, the candidate will have the ability to quickly arrive at innovative and effective solutions both as part of a team and independently.

Qualifications:

Bachelor’s degree required, MS or PhD preferred in Bioinformatics, computational biology, or computer science or equivalent experience and 6-9 years relevant experience with 2+ years’ experience.
Familiarity with principles of experimental design and modern data analysis paradigms is required.
Strong interpersonal skills and ability to effectively interact with all levels of staff and external contacts. Excellent analytical, organizational and time management skills.

For details click here


Postdoc in Bioinformatics

The Yang Lab is seeking self-motivated individuals with strong background of computational biology to study cancer genomics. The main goal of the lab is to explore the functional consequences of somatic alterations in cancer patients, to identify driver alterations, and to understand the evolutionary process of cancer by integrating multi-dimensional data from large scale cancer studies such as The Cancer Genome Atlas (TCGA). The mechanisms of different types of alterations, the functional impact of somatic alterations involving regulatory elements in the human genome, and mechanisms of tumor initiation, progression, metastasis and drug resistance are of particular interest.

Responsibilities: The applicant is expected to lead multiple research projects, develop new computational algorithm(s), perform data analysis, collaborate with biologists and physicians, and present/publish the results in scientific conferences/journals. The applicant will have the opportunity to tackle cutting edge problems in biomedical field, interact with world class scientists, and gain experiences and develop skillsets for his/her next career stage.

Qualifications:
- Ph.D. in computational biology/bioinformatics/statistics or related discipline
- Experience in Unix/Linux shell
- Experiences with high-throughput sequencing data (WGS, WES, RNA-Seq, ChIP-Seq) analysis

- Experiences in the following fields preferred, but not required: cancer biology, genetics, evolutionary biology, systems biology

To apply, please email your CV, two representative publications, contact information for three references to the PI Dr. Lixing Yang. lixingyang@uchicago.edu

For details click here


Posted on September 24, 2018

Postdoctoral Research Fellow - Computational and Mathematical Modeling

Biomedical research has become data intensive, shifting away from classical confirmatory hypotheses testing for a few clinical variables, to searching for underlying fundamental patterns governing biological phenomena and their dynamics in high dimensional variable and sample space. This has led to an increasing use of, and development of new, computational and mathematical modeling techniques within biomedicine.

We are seeking an independent and motivated researcher for a Postdoctoral Fellowship in the Department of Cancer Immunotherapy. You will be working within our Computational and Mathematical Modeling group to study cancer phenotypes and the interaction with genetic and immune system variables. For example, you will participate in trying to deepen our understanding of the dynamics within tumor microenvironments supported by unique and growing collections of Omics data coupled with clinical data.

Candidates for this position should have:

  • PhD in Mathematics, Mathematical Statistics, Computer Science or Bioinformatics with a proven track record in mathematical modeling.
  • Highly proficient in general in computational and programming languages, including a working knowledge of R and e.g Python. Experience with C++ would be an asset.
  • Experience with creating web-based data visualization and data analysis applications (e.g. R Shinys) is desirable.
  • Desirable having a previous experience working with biologists on life-science questions.
  • Excellent communication and teamwork skills to take advantage of our highly collaborative environment.

Job ID: 201809-121656

For details click here


Bioinformatician / Data Manager

The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Primary focus will be on maintaining, administering, growing, and further developing an integrated data platform for investigational and correlational analyses of all CMC relevant data to support process development and product understanding for cell and gene therapy products as well as starting materials and intermediates thereof. Partnering with other development and commercial functions (including Manufacturing, Clinical Pharmacology, PCS, etc.) to maximize benefit of the platform for the CMC data.

Minimum requirements:

Education: BS/BA required. Computer Science, Bioinformatics, Computational Biology or Science degree preferred.

Languages: Fluent in speaking / writing in English

Experience:
• Minimum of 3 years database development and management
• Knowledge of and experience with R, Python, Java, SAS, preferred
• Experience with data integration, database maintenance, design, and implementation
• Strong interpersonal effectiveness, leadership, and communication skills (written and oral) to interface across management levels and departments.
• Working knowledge of cGMPs, FDA regulatory guidelines and validation principles

Job ID: 249125BR

For details click here


Posted on September 21, 2018

Postdoctoral position in Bioinformatics

At the Department of Oncology-Pathology basic, translational and clinical research and educational activities related to cancer is carried out. Approximately 300 people from over 40 nations are currently working at the department. 37 research groups with various cancer research profiles are involved and we have around 120 PhD students. The Department of Oncology-Pathology is responsible for undergraduate courses in Pathology, Oncology and Forensic Medicine for medical students, as well as for Tumor biology courses for biomedicine students and Pathology courses for opticians.

Position We search for a highly motivated postdoctoral researcher in bioinformatics to join a consortium of three research teams dedicated to understand the function of 3D epigenome folding and its deregulation in human diseases from entirely novel perspectives. The candidate is expected to drive a postdoctoral project and participate in collaborative efforts to uncover hitherto unknown therapeutic targets in complex diseases, such as cancer and diabetes.

Entry requirements
A person is eligible for a postdoctoral position in bioinformatics, if he or she has obtained a PhD or equivalent in Computational Biology, Computer Engineering, or a relevant quantitative scientific discipline no more than five years before the first date of employment as postdoc. In addition, it is advantageous if the successful candidate has:

- Experience in the analysis of NGS data, in particular: RNA-seq, single cell RNA-seq, ChIP-seq, 3C-based chromatin interactome datasets

- Experience in network analysis

- Excellent knowledge in biostatistics

- Extensive experience in using R/BioConductor, Unix/Linux environment (prior scripting language experience e.g. Python/Perl is a plus)

- Experience in data visualization

- Experience in meta-analysis

- Experience in SNP calling from NGS data is a plus

Last application date 25.Oct.2018 11:59 PM CET

For details click here


Postdoctoral Fellowship in Environmental Health Biostatistics

The Department of Biostatistics and Computational Biology at the University of Rochester (UR) announces an opening for a postdoctoral traineeship in Environmental Health (EH) Biostatistics, funded by an NIEHS T32 training grant. The appointee will develop and apply novel statistical methodology for projects related to EH, under the mentorship of a Biostatistics faculty trainer (Drs. Sally W. Thurston, Matthew N. McCall, Brent Johnson, Tanzy Love, Michael McDermott, David Oakes, or Robert Strawderman).

In accordance with NIEHS requirements, trainees must be a US citizen or permanent resident, and must have completed a doctoral degree in statistics or a related subject by the appointment start date. We seek a highly motivated candidate with a strong statistical background, excellent programming skills and good communication.

The position is available for 12 months initially with the possibility of renewal for a second year. We anticipate an early autumn 2018 start date, but seek the best candidate even if the start date is delayed.

For details click here


Posted on September 19, 2018

Post Doctoral Scientist: Bioinformatics/ Computational Genomics

The Institute for Genomic Medicine (IGM) at Nationwide Children’s Hospital is creating a future that integrates genomics into the everyday practice of pediatrics. Led by a team of internationally-renowned genomic medicine scientists, IGM is housed in the campus’ newest research building, spanning ~25,000 square feet of laboratory and office space in a highly interactive setting.

We’re looking for a Postdoctoral Scientist to join our Computational Genomics Group to develop novel computational approaches for the analysis and interpretation of genomic data in pediatric cancer, birth defects and other rare genetic diseases. You will have the opportunity to work on a highly collaborative team, developing novel software tools, utilizing the elasticity of the Cloud and innovative Big Data technologies. Our Postdoctoral Scientists are given a unique training opportunity, with co-mentorship from Drs. White, Wilson and Mardis, with a focus on helping the candidate to establish their career as an independent investigator.

Qualifications:

  • PhD in Bioinformatics, Computational Biology, Computer Science or related discipline
  • Deep computational understanding and strong programming skills (candidates will be asked to complete a programming assessment)
  • Scripting and process automation experience (Python, Perl, shell, etc)
  • Standard knowledge of algorithms, data structures and scientific programming
  • Experience in bioinformatics and core bioinformatics tools and databases
  • Software development experience is a plus (Java preferred)
  • Must be a team player with good communication skills and an attention to detail

Requisition ID 2018-13363

For more information click here


Postdoctoral Scholar Research/ Genomics Program

The incumbent will work in Dr. Uddin lab which is part of the newly established, rapidly growing Genomics Program located in the College of Public Health at the University of South Florida (USF), with rich opportunities for collaboration with investigators at local, national, and international levels.

The primary duties and obligations of the appointment are to conduct genomic research in accordance with the needs of Dr. Uddin’s research program. This will involve undertaking original investigation of existing and forthcoming genomic datasets relevant to stress-related mental disorders, drafting manuscripts for publication in peer-reviewed journals, attending conferences to present research results, managing datasets used in ongoing research projects, assisting with the preparation of annual reports to granting agencies, and participating in the submission of grant applications.

Minimum Qualifications:

  • PhD or equivalent degree in one of the following areas:  computational biology, bioinformatics, statistical genetics, systems biology, or related area.
  • Proficiency in one or more commonly used programming language such as R, C++, Python, or Perl.
  • Experience working with large, high-throughput genomic data sets such as genome-wide association studies (GWAS), epigenome-wide association studies (EWAS), and Next Generation Sequencing (NGS) data sets.

Preferred Qualifications:

  • Experience integrating multi-omic data and/or genomic and epidemiologic/survey data preferred.
  • Experience with human-based datasets and longitudinal analysis is also desirable.

Job Opening Number: 18270

For details click here


Posted on September 17, 2018

Scientist at the NGS bioinformatics core facility

At the Helmholtz Zentrum München, you can contribute together with leading researchers to the investigation of the development, prevention and treatment of environmental diseases such as diabetes, chronic lung diseases and allergies. In order to further promote your professional development, we offer extensive and targeted research training and career programmes. We support the reconciliation between work and private life with flexible working time models, occupational health management, day care facility for children, a childcare subsidy, Elder Care, as well as other counseling and support services.

Job Description

The candidate will be responsible for:

 - Specification and implementation of the Galaxy workflow environment (jointly with the software developer)
- Handling of research projects in cooperation with HMGU scientists or as service to HMGU scientists
- Development of individual research pipelines as reusable workflows on the Galaxy platform
- Training and consulting of HMGU scientists

Your Qualifications
-
PhD in bioinformatics or related fields
- Excellent scientific track record
- Strong programming skills
- Experience with high performance computing infrastructure
- Know How in multidisciplinary projects
- Good communication skills

We are looking forward to receiving your comprehensive online application until 15th of October 2018.

For more information click here


Computational Biologist: Host-Microbe Immunity

The Computational Biology Department supports Drug Discovery and Development at GSK Pharmaceuticals R&D through the integrative analysis of internal and external biomedical data. Our analysis competencies are quite diverse and include target identification and validation, genetics, pathways and networks, disease indications, text mining, molecular evolution, gene expression, microbiome/host pathogen analysis, drug repositioning and machine learning. We contribute to multiple phases of the drug development pipeline and our work results in developing new medicines for important diseases of unmet medical need.

We are hiring a skilled Computational Biologist to focus on host-microbe immunity research which includes infectious disease, host-pathogen interactions and the microbiome. In the pharmaceutical industry, GSK is world leader in the development of medicines against the most severe infectious diseases including HIV, hepatitis B virus, bacterial infections, TB, malaria and other parasites. GSK is also a microbiome research innovator in various therapy areas including respiratory and inflammatory diseases.

Basic qualifications:
• PhD in computational biology, bioinformatics, and/or biomedical/biological sciences with an emphasize on data analytics.
• Strong written and oral communication skills.
• Ability to work effectively in multidisciplinary teams.
• Publication record in peer reviewed journals.

Preferred qualifications:
• Expertise in applying genome-wide genetic, genomic, pathway and network methods to host-microbe immunity questions including pathogen genomics, host-pathogen interactions and the microbiome.
• Expertise in a programming language (such as R, Python or Perl) for complex data analysis.
• Knowledge of and experience with common bioinformatics databases, resources and tools.
• Demonstrated experience in processing multiple large scale genomic and genetic platforms, such as transcriptomic, proteomic or Next Generation Sequencing data.

Requisition ID: WD181298

For more information click here


Posted on September 14, 2018

Senior Research Associate | Integrative Genomics

City of Hope, an innovative biomedical research, treatment and educational institution with over 5,000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.

A Senior Research Associate position is available in Beckman Research Institute of City of Hope to perform analysis of large scale genomics data, specifically microarray and next-generation sequencing data. Develops analysis pipelines and applications for genomic data analysis and data mining.

Essential Functions:

  • Works on various research projects as assigned under supervision of the director.
  • Performs statistical and bioinformatics analyses of large scale genomic data, e.g. Illumina and PacBio
  • Prepares summaries, presentations, manuscript sections and figures for the visualization and publication of complex data and results.
  • Evaluates existing methods and develops applications for genomic data analysis and data mining
  • Establishes schedules and monitors status of projects on an ongoing basis.

Minimum Education and Skills Required for Consideration:

  • Bachelor's or Master's degree, reqired.
  • Five or more years related research/ laboratory experience with a Bachelor’s degree or, four or more years related research/ laboratory experience with a Master’s degree.
  • 2+years of relevant experience in applying statistical and computational methods to theanalysis, modeling and visualization of complex genomics data.
  • Extensive knowledge of statistical analysis methods and models, mathematical and computational algorithm, such as machine learning algorithms.
  • Experience with genomic data integration and data mining.
  • Proficient in R/Bioconductor programming.
  • Experience working with NGS data, such as Illumina Hiseq/miSeq and PacBio SMRT sequencing.
  • Familiar with at least one programming languages, such as R/Perl/Python/JAVA/C++ with R preferred.
  • Familiar with Biological databases, such as GEO and TCGA.

Requisition 14639

For more information click here


Bioinformatics & Data Analytics Scientist

The Biosecurity and Public Health group at LANL is seeking a specialist in Bioinformatics and Data Analytics that will support and develop programmatic and R&D efforts in the Bioscience (B) Division. The successful candidate will have the opportunity to work on multi-disciplinary projects involving topics such as biosecurity, public health, biosurveillance, bioenergy, and environmental microbiology.

R&D Scientist 2, ($87,800 - $144,800)

  • Develop web-based GUIs for a variety of bioinformatics workflows
  • Develop open source software options for source code or docker implementation, on individual computers, servers, clusters, or cloud infrastructures, to optimize data processing
  • Contribute to new proposals on data analytics that use genomic and other big data types
  • Develop web based analytics for infectious disease forecasting and prediction
  • Develop, maintain, and operate bioinformatics pipelines for data mining and analysis
  • Lead individual tasks on genomic analysis for projects involving clinical and environmental samples and contribute to programmatic milestones
  • Collaborate closely with experimental biologists for interdisciplinary genomics projects
  • Mentor postdocs and students

R&D Scientist 3, ($96,600 - $161,300) In addition to the duties outlined for Scientist 2 above, the Scientist 3 will be required to:

  • Successfully obtain external funding for development of new bioinformatics tools/algorithms and big data analytic platforms that use genomic data and other big data types
  • Take on a leadership role for a small team and direct their work
  • Work with peers in the division to explore new avenues of funding and develop strategic goals for future research

Scientist 2 Education Requirements: Typical educational requirement is a bachelor’s, master’s, or doctorate degree in science from an accredited college or university, Ph.D in Microbiology/Molecular Biology/Biological Sciences/Bioinformatics/Computational Biology preferred.

Scientist 3 Education Requirements: Ph.D in Microbiology/Molecular Biology/Biological Sciences/Bioinformatics/Computational Biology

Vacancy Name: IRC68665

For details click here


Posted on September 12, 2018

Postdoc Position in Bioinformatics and Neurogenetics

The Zhang lab at the University of Chicago is looking for a highly motivated postdoc fellow in bioinformatics and neurogenetics. The newly established group in the Department of Human Genetics focuses on the fundamental mechanisms of brain development with the ultimate goal of diagnosing and treating neurological diseases.

The successful applicant will interact with exceptional UChicago faculties in human genetics, neuroscience, RNA biology, single cell biology, biostatistics and computation biology. The Zhang laboratory is also affiliated the Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, with full access to outstanding genomics, imaging and stem cell core facilities. This position offers excellent career development opportunities in neurogenetics and bioinformatics.

Job Requirements:
• Fresh PhD or MD/PhD with established track record in biomedical research such as genetics and genomics, bioinformatics, neuroscience, or molecular and cell biology.
• Expertise with next-gen sequencing, genomic data analysis and programming is preferred.
• Able to work independently and as part of a team.

Interested candidates please send a pdf file including the CV, Contact information for three referees  to Dr. Xiaochang Zhang xczhang@uchicago.edu

For more information click here


Bioinformatician

Research Bioinformatician II performs general bioinformatics analysis and software support for projects involving in omics, and interact with investigators to identify research problems, find appropriate software tools, and recognize national biological databases and online resources for omic data. The RBII will manage omic data including loading and querying data from database system and public repositories, and transform and merge multilevel omic data into user-friendly formats, assist in development, test, and maintenance of modular software pipelines, provide bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.

Essential job Duties and Responsibilities:

Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers.

Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data.

Develop, test, and maintain modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences

Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats

Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases, Ready to provide solutions for investigator’s problems through data mining and extraction

Education:

Master of Science Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics)

Minimum Experience:

3 years in research environment. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment, Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions.

Requisition # 18001297

For details click here


Posted on September 10, 2018

Postdoctoral Research Associate, Bioinformatics / Statistical Genetics

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.

We are seeking applicants for a postdoctoral position to work in Drs. Cruchaga and Harari lab at Washington University School of Medicine. Washington University School of Medicine is ranked among the top ten medical schools in the country and is a thrilling learning environment for postdocs. The goal of our research is to use genomic approaches to understand the biology of Alzheimer’s Disease, Parkinson Disease and other neurodegenerative disease. Our labs have pioneered the use of biomarker levels for Alzheimer and Parkinson disease as endophenotypes for genetic studies. By using this approach, we have identified six novel loci associated with Alzheimer disease risk, progression and onset.

We are looking for a postdoc with expertise in GWAS, exome-chip, WES and WGS and Mendelian Randomization to work on a project focused on the identification of novel biomarkers for Alzheimer’s disease and Parkinson disease using genomic approaches. A very large and well characterized dataset with proteomic, genetics and transcriptomic data is available.

PhD in Statistics, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar.

Preferred Qualifications:

  • Strong background in GWAS (PLINK and SKAT-O) and second-generation sequencing.
  • A working knowledge of UNIX, Perl/Python and R.
  • Demonstrated ability to implement laboratory procedures, conduct research and records findings.

Applicants should email a curriculum vitae and statement of research interests to (cruchagac@wustl.edu). Evaluation of applications will begin immediately.

For more information click here


Scientist, Single Cell Sequencing (Pfizer)

We are seeking a motivated and dynamic individual to join the Molecular Profiling Group in Systems Immunology. This individual would support the development, validation, implementation, and growth of single cell sequencing for Inflammation and Immunology’s portfolio areas. This person will execute technical and laboratory aspects of in-house single-cell assay development projects including the design and execution of laboratory experiments, evaluation of test data, as well the preparation of associated documentation and reports.

ROLE RESPONSIBILITIES

  • Supports the implementation and growth of single-cell analysis technology, supports ongoing development, validation and troubleshooting of single-cell assays, including single-cell RNA sequencing (droplet and plate based) and antibody based single-cell analysis (CITE-seq/REAP-seq/Abseq)
  • Performs operations of different single-cell analysis workflows; from tissue storage, sample preparation, library construction, data generation, data processing to interpretation of results, ensuring high level of quality and reliability of generated results.
  • Effective testing and optimization of tissue stabilization, dissociation, and purification protocols.
  • Effectively optimizing and troubleshooting of single-cell RNA sequencing library preparation.

BASIC QUALIFICATIONS

  • Bachelor’s degree with 5+ years or MS with 3+ years of relevant molecular and cellular biology experience
  • Previous experience with tissue dissociation protocols, single cell suspension generation required
  • Extensive hands on molecular biology protocol and and NGS technology expertise required
  • Must have at least 3 years of documented hands-on (wet lab) experience with NGS assay development, validation, troubleshooting, and reviewing of sample QC data OR tissue dissociation, cell isolation methods (e.g. FACS), cell culture and basic molecular biology (e.g. PCR, cloning, etc).
  • Must have in-depth knowledge with different standard NGS platforms, bioinformatics pipelines and NGS data processing and interpretation solutions.

PREFERRED QUALIFICATIONS

  • 1+ year of hands-on single-cell sequencing experience
  • Knowledge of single-cell RNA sequencing platforms (10x,  inDrop. Drop-Seq, SMARTseq, Rhapsody or other) greatly preferred.
  • Bioinformatics skills, including programing in R/python (or any other language), experience with command line, and familiarity with statistical software packages is highly desired.
  • Experience with computational and statistical approaches for high-dimensional data analysis is a plus

Last Date to Apply for Job: October 4, 2018

For more information click here


Posted on September 07, 2018

Postdoctoral Associate:  Computational Cancer Biology

Dr. Sheng Li’s lab at JAX-GM is seeking a computational biology postdoctoral associate who is interested in studying cancer epigenomics using large-scale multi-omics datasets. The Li Lab focuses on combining computational approaches and high throughput sequencing datasets to uncover novel mechanisms that contribute to cancer evolution.

We are looking for applicants who are self-motivated, independent who are excited to work in the collegial, collaborative, interdisciplinary, and diverse research environment offered by The Jackson Laboratory. The postdoctoral associate will develop research project in one of more areas of focus:

Key Responsibilities:

  • Develop computational, bioinformatics, and statistical approaches to address the challenges in cancer epigenome and transcriptome data integration.
  • Analyze long-read sequencing data for base modification predictions.
  • Build multi-scale regulatory network based on 3D chromantin interaction sequencing data.
  • Analyze single-cell sequencing data sets to understand the intra-tumor heterogeneity.
  • Apply machine learning models to identify molecular patterns and predictive markers for diagnosis and treatment.

Requirements:

  • PhD in Computational Biology, Biostatistics, Bioinformatics, or a related field with knowledge of statistics and an interest in working in an interdisciplinary computational biology and cancer research environment.
  • Strong programming skills, preferentially with expertise in R and/or Python and UNIX programming.
  • Research experience in next generation sequencing data analysis, especially in epigenomics, and utilization of publicly available bioinformatics resources.
  • Strong problem-solving skills, excellent communication skills, and enthusiastic about science.
  • Knowledge of (and/or work expereince with) machine learning/deep learning methods.

Job ID 2018-25249

For details click here


Bioinformatics Scientist

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

We are seeking a highly motivated bioinformatics scientist to join our Global Research IT team at Merck. As a scientist in Research IT organization, the successful candidate will partner with biologists and data analysts in Merck Research Labs and apply advanced computational methods and data analytics for genomic technology, target identification, target validation and biomarker discovery. The role will focus on developing computational genomic pipelines, machine learning applications and visual analytics and analyzing multi-dimensional data sets to support Merck’s drug discovery biology and translation medicine research.

Education Minimum Requirement:

  • A Master degree or a Ph.D. degree with a focus on computational biology, bioinformatics, or computer science or related fields

Required Experience and Skills:

  • At least five years research experience for Master degree or one year for Ph.D. degree in computational biology, bioinformatics, or machine learning
  • A demonstrated track record of developing computational methods and pipeline for genomic technology, translational research or biology discovery
  • Extensively experience in developing next-generation sequencing data analysis pipelines such as single cell RNA sequencing, exome sequencing and transcriptome sequencing
  • Hands-on experience by applying machine learnings
  • Proficiency in programming languages (Python, Perl, C++), and mathematical and statistical package, such as R and MatLab, in a Unix/Linux environment
  • Experience with high-performance Linux cluster and cloud computing
  • Excellent interpersonal and team skills
  • Demonstrated ability to collaborate with cross-functional project teams
  • A proven track record of scientific publications
  • Excellent oral and written communication skills in English

Requisition ID: INF004823

For details click here


Posted on September 05, 2018

Postdoctoral Fellow, Inflammation and Immunology (Bioinformatics)

At Pfizer, we strive to improve the life of patients through innovative therapy. Our work in the discovery group within the Inflammation & Immunology research unit is to build the foundation of tomorrow’s medicine by deciphering disease pathways in autoimmunity to identify novel therapeutic targets.

We are looking for a highly motivated scientist to join our group as a postdoctoral fellow. Your research will focus on identifying and characterizing the role of synovial fibroblast subsets in rheumatoid arthritis. Deepening our understanding of the protective and pathogenic roles of synovial fibroblasts will be crucial for the establishment of novel therapeutics that would be complementary to current therapies focused on modulating the inflammatory response.

ROLE RESPONSIBILITIES

  • Computational analysis of complex datasets
  • Isolate specific cell population by flow cytometry to characterize them in vitro
  • Establish model systems to decipher interactions of synovial fibroblasts with innate immune cell types
  • Validate findings in murine models of arthritis
  • Present findings at internal and external conferences, and publish results in high impact peer-reviewed journals

BASIC QUALIFICATIONS

  • Recent PhD in immunology, bioinformatics or related field (0-4 years)
  • Strong track record of scientific publications
  • Hands-on experience with basic immunological techniques, including cell culture, cell isolation, multi-color flow cytometry, immunohistochemistry
  • Basic programming skills or understanding of systems immunology
  • Ability to work efficiently in a team
  • Excellent oral and written communication skills

For more information click here


Post-doctoral position for an 'Omic-oriented' parasitologist/ Biostatistician

Who we are
Antoine Claessens (PI) is a malariologist who trained at Edinburgh University, the Sanger Institute, LSHTM and the MRC-Gambia. He recently joined Montpellier University as a “Chargé de Recherche INSERM”. He was awarded an ATIP and an ANR-JC, with which this position will be funded.

Our research

The goal of our research is to understand the genomic and transcriptomic mechanisms that enable the malaria parasite Plasmodium falciparum to establish a chronic, asymptomatic, infection. In regions such as The Gambia where malaria is highly seasonal, these infections constitute a reservoir during the dry season (with no or little transmission). From 2014 to 2017, we regularly collected blood samples from symptomatic and asymptomatic volunteers in a Gambian village, including a time series of monthly samples from the same volunteers over a 6-month period. This dataset represents a unique opportunity to address novel questions about the parasite biology.

Your projects

Project 1: Can P. falciparum sense its environment and adapt to it via transcriptional regulation?

With colleagues at LSHTM and at the Sanger Institute, we are sequencing parasite isolate transcriptomes using RNA-seq and single-cell RNA-seq technology. Your task is to identify genes differentially regulated in the dry vs wet season, in symptomatic vs asymptomatic infections, and identify putative candidates involved in cell growth. The transcriptome dataset, which will be linked with growth assay data, will be crucial in understanding how the parasite successfully establishes a chronic infection over the dry season, yet triggers a new epidemic over the following transmission season.

Project 2: P. falciparum population genetics and genomics.

In collaboration with MalariaGEN at the Sanger Institute, a dataset of parasite DNA barcodes and parasite genomes collected over 3 years in the same village is now available. You will describe the first parasite genomes sequenced from asymptomatic infections, and investigate the impact of the dry season selective pressure on the parasite population. Your task is to fully characterise the parasite population genetic diversity, using genotyping, genomic and epidemiologic data.

Your skills (essentials)

  • PhD in biostatistics/bioinformatics, or in molecular biology with a strong background in biostatistics and programming
  • Demonstrated experience in “Omics” data analysis
  • Able to work independently
  • Great communication skills in English
  • Stay focused on answering a specific biological question, from the initial analysis to publication
  • Passionate about scientific discoveries

Your skills (desirable)

  • Knowledge about malaria biology and population genetics
  • Wet-lab experience would be a plus, particularly FACS and cell-sorting
  • Willing to supervise a Master student in bioinformatics / epidemiology
  • Participate actively in the lab and institute life
  • Appreciate XKCD humour

A more detailed description of this job application can be found here. Interested in applying? Then please send an email to antoineclaessens@gmail.com with subject “post-doc #0001 - keep me updated”. I will send you a link for a formal application in early September. Starting date: October 2018 (to be discussed).


Bioinformatics Systems Analyst

The Broad Institute's Scientific Consulting Services (SCS) team is looking for engaged technologists to assist the Broad's scientists in their application of Information Technologies to help cure human disease. This role supports Broad scientists by providing on-site and cloud-based IT services in scientific software management, computational resources, data management, and lab/workflow management. The SCS team part of Broad IT operations organization, and is primarily responsible for cultivating and maintaining relationships between IT and the Broad's Scientific Community.

OVERALL RESPONSIBILITY

  • Facilitate data collection, updates and information flow among systems.

  • Participate in the investigation of new tools as appropriate.

  • Participate in consulting with scientific organizations and users about their Information Technology requirements.

  • Learn institute IT requirements for security, scalability and sustainability

  • Execute the best practices and methods for IT services in the area of High Performance Compute, Data management, Lab and Workflow Management.

  • Investigate and install software packages as appropriate.

QUALIFICATIONS

  • Bachelor's degree or progress toward degree in Computer Engineering, Computer Science or other technical or scientific discipline or equivalent experience

  • Experience in: Computational Biology, Bioinformatics, Computer Science, Information Systems, or another technical/scientific discipline

  • Understanding the concept of On-Premise vs. Cloud Computing

  • Familiarity with some of the following: common bioinformatics software and methods; cloud technology and cloud engineering; data engineering; data management; server installation or maintenance; agile methodology; systems administration

For details click here


Posted on September 03, 2018

Postdoc - developing and applying methods for analysing GWAS data

Aarhus University is recruiting a 2-year postdoc in statistical genetics based at the Bioinformatics Research Centre (BiRC). The provisional starting date is 1st November 2018.

The postdoc will be jointly supervised by Drs Doug Speed, Manuel Matthiesen and Søren Dinesen Østergaard. There are two broad aims, however the specific projects will be decided according to the interests and experience of the successful applicant.

1 – Application of recently developed methods to genome-wide association study (GWAS) data.

2 – Development of new methods for analysing GWAS data.

Requirements
A PhD degree and strong expertise in statistical genetics is essential. The position will involve analysis of large-scale genetic datasets, so the ideal candidate would be familiar with popular genetic software (e.g, PLINK) and at least one coding languages (e.g. R).

All applications must be made online and received by 5.10.2018

For more information click here


Postdoctoral Fellow in Bioinformatics

The EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry.

The Mouse Genomes Project has become an essential resource for the wider mouse genetics community. We are seeking an outstanding postdoctoral researcher to contribute to the generation, comparative analysis, and interpretation of the genome and transcript sequencing data. You will engage in both internal and external (national and international) collaborations and will have the opportunity to gain expertise in genome sequencing technologies and comparative genomics.

Essential skills and experience include:

  • PhD in either Computer Science or Bioinformatics
  • Demonstrable record in bioinformatics
  • Highly developed unix command line skills
  • Proficiency in at least one modern computer programming language
  • Ability to plan and work independently
  • Excellent communication skills (written and verbal)

Closing Date: 9 September 2018

For details click here


Posted on August 31, 2018

Genomics Fellowship

A Genomics Fellowship is available at Boston Children’s Hospital. The Fellowship is a one-year program that allows for the development of professional career skills, on-going technical and workplace learning and an opportunity to apply subject matter expertise to new genomics and health technologies, scholarship, creative writing, etc.

Reporting to the Bioinformatics and Genomics Lead, embedded within a technical department, fellowships are full time paid appointments with health benefits. The fellowship will start in September or October and include paid holidays and vacation days.

In the role, the Fellow will be working closely with researchers and primary investigators in genomics laboratories across Boston Children’s Hospital. The Fellow will participate in the development and implementation of a program to sequence Boston Children’s Hospital patients over the next year. The Fellow will engage with the research community and contribute to patient diagnoses through Boston Children’s Hospital’s centralized genomics repository that enables the real-time analysis, storage and management of genomic data. The Fellow will be involved with project management and implementation, coordination and connecting the genomics repository with other internal and external databases and dashboards (coding). The fellow may also be involved in the organization of workshops.

Knowledge, Skills, and Abilities:

  • Degree in Computer Science, Computational Biology or a related field or very strong coding ability

  • Knowledge of or very strong interest in genomics preferred

  • Ability to think flexibly and engage in creative problem-solving

  • Ability to work collaboratively with a team of diverse colleagues

  • Excellent oral and written communication skills

  • Previous experience working on time-sensitive coding projects

Please contact shira.rockowitz@enders.tch.harvard.edu for more information.


Post-doctoral fellow positions in Computational Biology

Cold Spring Harbor Laboratory invites applications for post-doctoral positions in the laboratory of Dr. Jesse Gillis and colleagues. The successful candidates will join a team at CSHL working to understand the molecular and functional basis of cellular properties, focusing on mammalian brains. This is a largescale project involving a number of complementary positions, ranging from bioinformatics, to neuroscience, to molecular genetics. While the focus of the position is computational, all projects involve substantial collaboration with wet-lab researchers generating unique data. This interdisciplinary work offers opportunities to address important questions in computational biology and neuroscience with first access to large novel data sets from single-cell RNA-seq. The expected duration of the position is approximately 3-5 years with renewal at the end of each year.

A major conceptual focus of the project will be developing new ways of assessing large-scale data for replicable signals. This position offers substantial scope for training for candidates interested in making a leap from computer science, neuroscience or genetics to data-focused research, particularly if it has arisen informally in their previous work.

This research sits at the intersection of three research areas: Computational analysis, genetics, and neuroscience. A strong candidate would have expertise in two out of the three areas and an interest in learning about the third. While a broad range of backgrounds are suitable for this position, a PhD in bioinformatics or computational biology is desirable. A particular focus of our methodological research is replicability and meta-analysis and an interest in these areas is helpful. Experience with either Matlab or R is a plus. Exceptional applicants without a formal computational background will also be considered, particularly if they are familiar with standard bioinformatics tools.

Position number: 01999-R

Please include a letter of interest outlining your research accomplishments and include the contact information of three references. Applications can be sent directly to JGillis@cshl.edu.

For details click here


Posted on August 29, 2018

Research Fellow: Statistical Genetics/ Bioinformatics/ Computational Biology

To learn to conduct independent research and support the independent research of others in a Medical Center dedicated to the care of infants, children, and adolescents. We are looking a candidate with PhD in bioinformatics, computational biology or statistical genetics, who will be involved in the analysis of cutting-edge high-throughput omics (genomics, transcriptomics, epigenomics, microbiome) and clinical data generated from allergic disease patients.

Key Functions include:
• Integration omics results including genome, transcriptome, microbiome, and epigenome results with clinical and environmental exposure datasets.
• Participate in development and testing statistical methods for omics and clinical datasets

Required:
·Ph.D. in bioinformatics, computational biology or statistical genetics or a related discipline A strong background in genomics, computational biology, and/or statistics as well as experience in high-throughput integrative analyses of different types of NGS data, extensive scripting and programming knowledge, data visualization is required.
The ideal candidate will have: an interdisciplinary background in bioinformatics and computational biology and genomics; advanced expertise in the analysis and interpretation of microbiome data and its integration with other "omics" data sources, including genetic variants, gene expression and epigenetics; good programming skills; and advanced knowledge of statistical and machine learning methods.

Requisition #: 96081

For details click here


Bioinformatics Specialist

Sanford Burnham Prebys Medical Discovery Institute (SBP) is an independent nonprofit research organization that blends cutting-edge fundamental research with robust drug discovery to address unmet clinical needs in the areas of cancer, neuroscience, immunity, and metabolic disorders. The Institute invests in talent, technology, and partnerships to accelerate the translation of laboratory discoveries that will have the greatest impact on patients.

The Bioinformatics Specialist will join the Adams Lab as part of the Tumor Initiation and Maintenance Program in the NCI-Designated Cancer Center, to support a team of scientists investigating the impact of chromatin and epigenetics on cellular senescence, aging and cancer. Adams’ lab employs state-of-the-art epigenetics approaches, such as ChIP-seq, RNA-seq, GRO-seq, ATAC-seq, HiC, bisulfite-seq, to understand how age-associated epigenetic changes promote cancer, and also to develop novel epigenetics-based therapies for cancer. Increasingly, the lab is adopting single cell approaches, such as single cell RNA-seq and THS-seq.

Education and/or Experience:

  • Bachelor’s Degree and five years’ experience required; Master’s degree and three years’ experience or Ph.D. preferred, or an equivalent combination of education, training and/or experience from which comparable knowledge, skills and abilities have been attained
  • Degree in Computer Science, Bioinformatics, Biostatistics, or Life Sciences or equivalent preferred
  • Experience with Illumina NGS data analysis
  • Experience in molecular biology, biochemistry, or general familiarity with wetlab assays desired

Other Requirements and/or Specifications:

  • Excellent bioinformatics and programming skills (e.g. Perl, Python, C/C++, Java, R or Web applications)
  • Strong command of Linux/UNIX operating system
  • Strong knowledge and skills in bioinformatics, statistics and next-generation sequencing data analysis
  • Ability to use current bioinformatics tools and have an in-depth knowledge of advanced sequencing and array-based technologies

For details click here


Posted on August 27, 2018

Bioinformatics Analyst - Institute for Genomic Medicine

The Bioinformatics Analyst at The Institute for Genomic Medicine at Nationwide Children’s Hospital will contribute to our expanding efforts in cutting-edge genomics research. You will have the opportunity to assist in all aspects of next-generation sequencing analysis including data generation, analysis, and interpretation. We are looking for a candidate with strong data processing abilities who enjoys solving complex problems and has a desire to make an impact in medical care through advancing our understanding of the role of the human genome in disease. Previous experience in bioinformatics or computational biological background is preferred.

Responsibilities

  • Performing genomic data analysis in support of our Genomic Services group, focusing on sequence analysis of viruses, plasmids and bacteria.
  • Performing genomic data analysis as part of our research efforts in the areas of cancer, genetic and infectious disease.
  • Participate in the validation and deployment of in-house bioinformatics tools.
  • Assist with software development of new bioinformatics tools and process automation pipelines.
  • Evaluating and integrating community-developed bioinformatics tools.
  • Work with biologists and bioinformatics scientists to extract biological information from next-generation sequencing data.

Qualifications

  • Bachelors degree in biology, molecular genetics, bioinformatics or related field. M.S degree in Bioinformatics, Computational Biology, Biostatistics or a related discipline a plus.
  • Interest in genomics and bioinformatics, and willingness to learn concepts and terminology from these fields as needed.
  • Previous experience with next-generation sequencing analysis data analysis is desirable.
  • Experience in a Linux/Unix environment and familiarity with scripting and process automation (Python/Perl, shell) a plus.
  • Knowledge of web development technologies is beneficial (HTML, CSS, JS, JQuery, J2EE).

Requisition ID 2018-13013

For details click here


Biomedical Informatician

A research lab in the Division of Biomedical Informatics Research at Stanford School of Medicine is seeking highly motivated individuals for multi-disciplinary research in computational health services research/public health informatics. The projects will utilize electronic health records (EHRs) to assess the quality of healthcare delivered and provide evidence that can be used to improve patient care using state-of-the-art technologies across one or more health care settings.

Duties include

  • Design study.
  • Develop and implement protocol for quality control.
  • Create analytic files with detailed documentation.
  • Select appropriate statistical tools for addressing a given research question.
  • Implement data analysis through statistical programming.
  • Present results for investigators using graphs and tables.
  • Summarize findings orally and in written form.
  • Participate in the preparation of papers for publication.

DESIRED QUALIFICATIONS

  • PhD in biomedical informatics, computer science, biostatistics or health services research.
  • Strong background in machine learning, biostatistics and bioinformatics.
  • Experience with large datasets and database use.
  • Experience with analysis of electronic medical data.
  • Manipulation and analyses of complex high-dimensional data.
  • Programming (python, R, Javascript, C++) and database skills (SQL).

For details click here


Posted on August 24, 2018

Research Associate in Bioinformatics

McLean Hospital is a comprehensive psychiatric hospital committed to providing easy access to superior quality, cost-effective mental health services in the Boston area, Massachusetts and beyond. Since 1811, McLean Hospital has been a world leader in the treatment of mental illness and chemical dependency, research into the cause of mental illness and the training of generations of mental health care providers. McLean's multidisciplinary programs treat a broad range of psychiatric illnesses across the full continuum of care.

Qualifications

  • Master degree in biostatistics and/or bioinformatics, or other discipline requiring intense data analysis required.
  • Must have at least two years of directly related experience, and have demonstrated competence in research techniques and methodologies.

Skills/Abilities/Competencies (Required):

  • Requires good oral and written communication skills. Must able to present summary of statistical results and communicate to non-statisticians
  • Team player with excellent communication, analytical, and problem-solving skills
  • Demonstrated ability to successfully apply appropriate statistical methodology to analyze data and to logically present it
  • Experienced in preparation of analytical datasets, generate new variables, make analysis data sets, summarize data numerically and graphically
  • Experienced in longitudinal data analysis with missing value, survival analysis, categorical data analysis, neuroimaging data analysis, complex survey and clinical psychometrics data analysis

Primary Location: MA-Belmont-McLean Hospital Main Campus

Job code: 3069679

Organization: McLean Hospital(MCL)

For details click here


Research Bioinformatician

Cedars Sinai’s Biomedical Sciences is looking for a Research Bioinformatician to join the Genomics Core. Under close supervision, the Research Bioinformatician I perform general bioinformatics analysis and software support for genomics projects. The RBI will manage genomic data including loading and querying data from database system and public repositories and transform and merge multi-level genomic data into user friendly formats, assists in development, test, and maintenance of modular software pipelines, provide daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.

Educational Requirements:
• Master’s degree in Biostatistics, Statistics, Bioinformatics, Genetics or related field of molecular biology. PhD preferred.
• Must have proven expertise in biostatistics, large-scale computing, biological data and bioinformatics.

Experience:

• 0-3 years’ experience directly related to bioinformatics in genomics (i.e. genomics, transcriptomics, epigenomic, resequencing analysis, etc.). Must have experience in managing the development and deployment of systems that will be used for full integrated genomic analysis.
• Must have expertise in correlating molecular and clinical measures, and in applying algorithms for clustering and classifying samples by molecular measures.
• Must have R, Bioconductor, Perl, Python, Unix/Linux, SGE Programming knowledge.

For details click here


Posted on August 22, 2018

Three Postdoctoral Fellow in Bioinformatics

At the Faculty of Medicine, Department of Clinical Medicine, a full-time (100%) position as Postdoctoral Fellow is available for a period of three (3) years. The position is part of the project “Brain-Gut Microbiota Interaction in Irritable Bowel Syndrome: A multidimentional Appraoch” (http://braingut.no), financed by the Norwegian Research Council, the FRIPRO program. The position is anchored at The Norwegian National Center for Functional Gastrointestinal Disorders, Medical Department (www.helse-bergen.no/NKFM) and the newly established Mohn Medical Imaging and Visualization Center (https://mmiv.no), Department of Radiology, both situated at Haukeland University Hospital.

To successfully incorporate machine learning in medicine, the candidate will develop, implement, disseminate and evaluate machine learning techniques in the analysis of medical images and image-related data. The project aims to contribute to increased degree of personalized medicine and better decision support for diagnosis, prognosis and therapy in diseases and conditions where images are an important source of information.

Qualifications and qualities

We seek highly motivated individuals with experience applying machine learning to medical images.

  • the applicant must hold a PhD or equivalent doctoral degree in medical/biomedical sciences or natural sciences on topics related to statistics, machine learning, computational medicine, bioinformatics or similar
  • very good programming skills are a requirement. You are encouraged to include a link to your GitHub profile or similar documentation of programming competence in your application
  • researchers who have experience in both machine learning and medical image analysis (with experience using for example scikit-learn, TensorFlow, PyTorch, Keras, scikit-image, R, MATLAB, ITK-SNAP, Nilearn, FreeSurfer) are particularly welcome to apply for this position

Deadline Saturday, September 15, 2018

For detail click here


Bioinformatician (Single Cell Analysis)

Earlham Institute is a vibrant, contemporary research institute and registered charity, working in an area of rapid technological development and innovation. Earlham Institute is strategically funded by the BBSRC to lead the development of a skill base in bioinformatics and a genomics technology platform for UK bioscience. The Institute is located on the Norwich Research Park, together with its partners: the John Innes Centre, the Institute of Food Research, The Sainsbury Laboratory, the University of East Anglia and the Norfolk and Norwich University Hospital.

Requirement

PhD in bioinformatics, computational biology or related subject with experience of working on genomics and transcriptomics data and bioinformatics, Demonstrated skills in at least one of the following programming languages: Python (preferable), Java, C++, R ,Transcriptomics, genomics or epigenomics analysis skills etc

Closing Date 16 Sep 2018

For detail click here


Posted on August 20, 2018

Postdoctoral Researcher in Computational Biology

The Institute of Structural and Molecular Biology (ISMB) at Birkbeck College/University College London is seeking a highly-motivated and creative Post-Doctoral Researcher to carry out computational research in protein-interaction networks and mass spectrometry-based proteomics. The position is a part of a collaborative project with groups at Birkbeck, UCL, Oxford and Hamburg funded by the Wellcome Trust to analyse and characterize novel complexes associated with Human Cytomegalovirus (HCMV) assembly.

The Post-Doctoral Researcher should have a strong track record in developing computational methods in network analysis, proteomics, bioinformatics or similar fields. Knowledge in protein-protein interactions, database development and raw mass spectrometry data analysis will be an advantage.

Closing Date for applications: Midnight on 16th September 2018

For detail click here


Systems Scientist, Computational Biology

Computational biology is a critically important and growing field that is critical to biomedical research. The Computational Biology Department at Carnegie Mellon is part of the internationally-recognized School of Computer Science, and draws upon the incredible energy and expertise in the entire School. It is an ideal place to be educated in this essential discipline.

We are seeking a dynamic Systems Scientist to play a leading role in an NIH-funded effort to build a 3D molecular and anatomical map of the human body.

In this role, you will:

  • Work as the lead software and computational tool developer for the CMU-based team.
  • Develop and adapt software tools for the analysis of high-throughput imaging and genomics data and apply them to new data collected as part of the project.
  • In concert with the PI for this project, lead several programmers at CMU and at other locations
  • Work with collaborating centers to establish data formats, APIs and schemas for the software developed, and help figure out procedures for data analysis and quality control.

Qualifications: A Ph.D. in computational biology, bioinformatics, computer science or a related area 5 years’ experience in the development of software tools for the analysis of high-throughput genomics and / or imaging data (could be as part of a Ph.D. and / or postdoc) Knowledge and experience in using cloud-based infrastructure for analyzing biological data Experience in supervising software development.

For detail click here


Posted on August 17, 2018

Post Doc Fellow:  Single Cell Functional Genomics in Diabetes

A postdoctoral fellow (postdoc) position is open in the translational research lab of Dr. Amanda Ackermann (https://www.med.upenn.edu/ackermannlab/). Our group studies beta cell dysfunction in diabetes and congenital hyperinsulinism, with the goal of identifying novel therapeutic targets. We use a variety of approaches, including genetic and epigenetic manipulation, genomic analyses, and physiological testing of primary human tissue, mouse models, and cell lines.

The postdoctoral fellow (postdoc), under the direction/guidance of Dr. Ackermann, will help lead a specific, on-going research project performing functional genomic analyses on primary human beta cells from patients with and without diabetes, utilizing single-cell imaging and RNA-sequencing techniques. The postdoc must have a terminal degree (PhD) in a relevant field and at least one first-author manuscript published or submitted. Prior experience, or a strong interest, in bioinformatics is desired.

Preferred Education, Experience & Cert/Lic

  • PhD in relevant field, such as biology, genetics, computational science
  • First-author manuscript published or submitted
  • Strong research skills
  • Effective problem solving/critical thinking skills
  • Ability to work independently and with a strong work ethic
  • High level of motivation
  • Excellent communication/interpersonal skills

Req ID: 20383

For detail click here


Genome Bioinformatics Intern

Monsanto is seeking a highly talented graduate student to join the Global Biotechnology organization in genomics and bioinformatics for a summer internship. This role is in Chesterfield, Missouri, which is one of the largest R&D centers of biotechnology in the world. This is an excellent opportunity to learn and apply genomics and bioinformatics techniques in an industry environment and to develop leads for a Ph.D. or postdoc project.

As a Genome Bioinformatics Intern, you will be responsible for:
  • Analysis of gene annotation and expression in crop genomes
  • Comparative analysis of crop genomes
  • Development of tools to make genomic data accessible to other scientists
  • Computational work within the AWS cloud environment
The dates for this summer internship are May 13 - August 2 of 2019.
Required:
  • Pursing a graduate degree in Bioinformatics, Computational Biology, Biostatistics, computer science or related program
  • Proficiency in one or more scripting languages (R, Python or Perl)
  • Experience analyzing sequencing data sets
  • Excellent communication skills
  • Must be returning to continue or complete program of study following the summer internship
Preferred:
  • Familiarity with Linux shell scripting in a cloud environment
  • Pursing a Ph.D. in Bioinformatics, Computational Biology, Biostatistics, computer science or related program
  • Domain knowledge in multiple sciences (e.g. bioinformatics, genomics, computer science)

For detail click here


Posted on August 15, 2018

Postdoctoral Researcher in Human Genetics and Single Cell Epigenomics

The laboratory of Dr. Kyle Gaulton at the University of California San Diego is looking for qualified postdoctoral researchers interesting in studying genetic and epigenomic factors that affect type 1 and 2 diabetes and other complex disease risk using large-scale human genetic and single cell epigenomic data. Our lab is located on the School of Medicine campus at UCSD in La Jolla CA.

The candidate will play a leading role in NIH-funded research projects involving local collaborators with a diverse range of expertise in diabetes biology, genetics, epigenomics and cellular modeling. These projects include deriving gene regulatory programs in diabetes-relevant tissues in normal and disease conditions from single cell ATAC-seq, integrative analyses of single cell ATAC-seq and RNA-seq with other epigenomic data including chromatin conformation and high-throughput reporter assays, mapping genetic effects on chromatin and gene expression from single cell data, and developing novel tools and methods for relating disease variation to single cell regulatory profiles.

Candidates should have a PhD/DPhil in genetics, biological sciences, computer science, bioinformatics, mathematics, statistics, or a related field, and ideally have prior experience working with human genetic and single cell data.

Interested individuals should email a CV, description of research interests, list of publications, and names of multiple references to kgaulton@ucsd.edu

For detail click here


Postdoctoral Fellow in Computational Biology

A postdoctoral intramural research training award (IRTA) position is available in the Structural Bioinformatics Core Section (SBIS), part of a multidisciplinary research environment at the Vaccine Research Center, in the areas of computational biology and structural bioinformatics.

The main objective of the SBIS is to assist in designing vaccines and antibody therapeutics against HIV and other viruses such as influenza and respiratory syncytial viruses. The selected candidates will collaborate extensively with experimental sections to develop new methods for computational vaccine and antibody design. The candidate should have knowledge in bioinformatics, computational chemistry, and proficiency in C or C++ and in Python or Perl. In addition, he or she should have prior experience in at least four of the following computation areas:

  •        Computational protein design
  •        Molecular dynamics simulation of glycoproteins
  •        Homology modeling
  •        Protein docking
  •        Machine learning/data mining
  •        Biostatistics

Successful applicants should be highly self-motivated and have a recent doctoral degree (obtained within last five years) in bioinformatics, computational chemistry, or a closely related field from a U.S. or foreign university. Applicants may be U.S. citizens or permanent residents; for a visiting fellowship, visa requirements apply.

Send curriculum vitae and three letters of reference by October 31, 2018

For detail click here


Posted on August 13, 2018

Postdoctoral Research Fellow - Genomics and Bioinformatics

Cancer is a complex, resilient disease. Cancer is also a genomic disease, and the key to understanding and defeating it is understanding the diverse genomic patterns that drive cancer. The first generation of cancer genomics delivered ‘things’ – mutations, amplifications, fusions, expression profiles etc. We’re looking for an ambitious postdoc to help us understand the next generation of cancer genomics – the patterns of genomic changes that will reveal the molecular strategies used by tumors, and reveal new therapeutic possibilities.

The primary goal of postdocs is scientific discovery and publication (see http://www.gene.com/careers/academic-programs/postdocs), and the program is geared towards developing future independent investigators. The Department of Bioinformatics and Computational Biology at Genentech is one of the largest bioinformatics research groups with a remarkable breadth and depth of expertise, a strong team environment, deep links to our research colleagues, and a uniquely strong opportunity to help develop breakthrough new medicines.

Candidates for this position should have:

  • A PhD plus a strong background in bioinformatics and genomics and a broad understanding of cancer and cancer genomics. Knowledge of cell biology, protein structure, biochemistry or signaling a plus.
  • Robust mathematical and statistical skills, and a track record of applying them to complex and noisy biological data. Experience in computational modeling and machine learning a strong plus.
  • Proficiency in R programming and experience in standard bioinformatics toolkits and programs.

For detail click here


Postdoctoral Fellow: Bioinformatics & Computational Genomics

The Pinto Lab at the Icahn School of Medicine at Mount Sinai is seeking talented and highly motivated computational genomics scientists to undertake a NIH-funded research project in the field of genetics and genomics of Autism and Epilepsy, including SNV/indel/CNV discovery from exome/whole-genome sequencing data in families, profiling of noncoding regulatory RNA, and integration with short and long-read RNA sequencing data. Candidates with a quantitative background and demonstrated experience with genomic data analysis are encouraged to apply.

The successful applicant will have opportunities to collaborate with a diverse group of experimental and computational biologists within the Psychiatric Genomics Division, the Institute for Genomics and Multiscale Biology and the Seaver Autism Center. S/he will also play an active role in using the latest technologies to disentangle the genetic basis of neurodevelomental disorders and their comorbidities.

Requirements:

High degree of independence, fast-learner, highly motivated, enthusiastic and with a strong work ethic.

  • Ph.D. or equivalent doctorate in a quantitative field such as statistical genetics, genome informatics, bioinformatics, or computational biology.
  • Excellent bioinformatic and programming skills (e.g. Perl, Python or C/C++), and statistical computing (e.g. R).
  • Track record of scientific productivity and/or leadership.
  • Research background in genomics is required.

For detail click here


Posted on August 10, 2018

Genomics Sequencing :  Postdoc Fellow

Reporting to the Genomics Core Facility Director and Director at the Waksman Institute, this position is responsible for analyzing high thorough-put sequencing data on next generation genome sequencers. The analysis entails assessing the quality of the data, processing of the data through appropriate analysis pipelines, determining the quality of the analysis and whether further analysis should be done, and assembling results for researchers.

Minimum Education and Experience:

• Ph.D. in Bioinformatics, Statistics genetics, Computer science and/or population genetics
• Experience in genomics analysis, next generation sequencing, and pipeline/database development
• Proficiency in Unix/Linux environment, and with at least one programming language (Python, R, Perl, Java, C/C++ etc.)
• Excellent knowledge and experience with large scale biological data analyses especially high-throughput sequencing data
• Background in statistics and/or machine learning preferred

Posting Close Date 09/15/2018

For detail click here


Bioinformatics Postdoc in Cancer Immunology

We are looking to expand our team with a Bioinformatics Postdoctoral fellow who is up for the challenge of working at the interface of computational, experimental and clinical science. The Peters lab has a long-standing track record of developing and contributing to computational algorithms for T cell epitope identification that are now in broad use in the cancer community even though they were originally intended to be applied for infectious diseases.

Responsibilities:
– High-Throughput Sequencing data analysis (exome and transcriptome from bulk and single-cell sequencing)
– TCR sequence analysis
– application and development of state-of-the-art analysis tools
– communicate with clinical collaborators and aid in translational study design

Qualifications:
– PhD degree, ideally in Computational Biology or Bioinformatics (candidates with equivalent skills and interests in computer science, statistics, and biomedicine will be considered)
– experience with at least one programming language is required (e.g. Python, R, or Perl)
– experience with High-Throughput Sequencing data
– experience with TCR sequence analysis is a strong plus
– knowledge of or strong interest in cancer biology and immunology is a strong plus

For detail click here


Posted on August 08, 2018

Postdoc Positions in Computational Epigenetics and Non-Coding RNA Analysis

Applications are invited for two Post-Doctoral Research Fellows to study the role of long non-coding RNAs in the regulation of DNA demethylation in embryonic stem cells in the research group of Professor Christof Niehrs.

Project:
• Analysis of RNA-seq, ChIP-seq, DNA methylome datasets using own and in-house provided pipelines
• Computational Analysis of non-coding RNA structure
• Integrate quantitative data from multiple omics sources
• Perform personalized post-quantitation analysis (e.g. GSEA, comparison to published datasets)
• Support lab members with your bioinformatics skills

 You have:
• PhD in Bioinformatics, Computational Biology, Natural Sciences or related areas
• Sound experience in R scripting or Python
• Familiarity with large scale data analysis (RNA-seq, ChIP-seq and related)
• Excellent communication skills and good team spirit with the ability to solve problems independently
• Fluent in English (spoken and written)

For detail click here


Postdoc Position in Bioinformatics, Metagenomics and the Human Microbiome

The lab of Jeroen Raes (VIB, KU Leuven) is looking for a postdoctoral researcher in the computational analysis of microbiome data, with a particular emphasis on human-associated microbial communities in health and disease.

Projects will focus on:

(i) bioinformatics/statistics method development for joint host and microbiota data analysis, multi-omics and clinical data integration and/or

(ii) their application to large scale datasets generated within the Flemish Gut Flora project cohort (n>5000), in a wide range of disease cohorts as well as in international projects (e.g FP7 MetaCardis, H2020 AD-Gut).

Profile

  • PhD in bioinformatics, computational biology, datamining, biostatistics, population and/or statistical genetics, human microbiota, numerical/microbial ecology or equivalent
  • Good programming skills (perl/python/ruby/java/C++ etc, SQL, R), proficiency in Unix/Linux and cluster experience
  • A strong track record in omics data analysis (e.g. (meta)genomics, transcriptomics, proteomics, metabolomics, epigenomics, genotyping data) is a plus
  • Experience in clinical datamining/machine learning, biomarker detection is a plus

For detail click here


Posted on August 06, 2018

Bioinformatics Postdoctoral Positions in Algorithms, Cancer Genomics and CRISPR

Computational biology postdoc positions are available in the laboratory of Dr. Wei Li, Center for Genetic Medicine Research, Children’s National Medical Center, and Department of Genomics and Precision Medicine, George Washington School of Medicine and Health Sciences at Washington, DC.

We are devoted to developing cutting-edge computational methods for biology and medicine, with a focus on understanding how coding and non-coding elements function in cancer and childhood diseases. In the past we have developed innovative bioinformatics algorithms to 1) design, analyze and visualize genome-wide CRISPR/Cas9 knockout screening data (e.g., MAGeCK/MAGeCK-VISPR), 2) identify genes responsible for cancer drug resistance and synthetic lethal targets and 3) understand how non-coding elements, especially long non-coding RNAs and enhancers, play roles in cancer.

Responsibility and Requirements:

-PhD degree in Bioinformatics/Genetics/Computer Science/Statistics or other quantitative science;
-Solid programming skills, strong publication record and the ability to work independently;
-Experienced in cancer genomics data analysis and computational methodology development;
-Ability to communicate and collaborate with other team members;
-Additional expertise in cancer biology, machine learning, single-cell genomics and childhood diseases would be a plus.

Candidates should submit a CV, a cover letter of research background and future research goals, and the contact information of three references letters by email to Wei Li.

For detail click here


SCIENTIFIC COMPUTING SYSTEMS ADMINISTRATOR (bioinformatics)

We are seeking a Linux systems administrator who will be responsible for the management of a scientific computing facility (/technology-services/high-performance-computing/) that includes a 240 core cluster, several servers, workstations, 500 Tb raw disk storage and backup facilities, to provide support to research groups of the IGTP. Besides fulfilling the systems administrator duties listed below, the successful candidate will be expected to propose and implement improvements in the design of the system when necessary.

The Institute for Health Science Research Germans Trias i Pujol (IGTP) is a public research centre located at the Can Ruti Biomedical Campus, Badalona, near Barcelona. The IGTP is dedicated to increasing scientific knowledge and transferring it to improve the care and lives of patients.

REQUIREMENTS:
The candidate should have a Computer Science/Informatics/Bioinformatics degree/equivalent with/or a demonstrated track record in:

 

  • Configuration and administration of Linux computer clusters
  • Knowledge of scripting languages (bash, python, perl, ruby)
  • Experience in automating OS installation
  • Experience with configuration management tools (puppet, ansible)
  • Strong diagnostic and analytical skills
  • Basic understanding of IT security principles and best practices

Closing date: 1st of September 2018

For detail click here


 

Posted on August 03, 2018

Postdoctoral Associate: Computational Biology

Dr. Mohammadi’s lab is looking for computational postdocs to join ongoing efforts in systems genetics and precision medicine projects. Possible projects include, but are not limited to, modeling variation in non-coding genome, identifying regulatory variations that contribute to disease, and combining genetic data with health monitoring sensor data.

Our research is at the interface of Bioinformatics, Statistics, and Computer Science. We develop mathematical frameworks and statistical models to address computational challenges of analyzing variation in genome and its effect on human health. We are participating in basic research, as part of large functional genomics consortia such as the GTEx, and are collaborating closely with medical doctors in clinic to ensure a translational impact.

Must possess a doctoral degree. A pending doctoral degree may be considered with approval of the Principal Investigator. The position involves developing analysis pipelines for large genomic and biomedical datasets that are theoretically solid and biologically justified. Therefore, candidates holding a PhD in a theoretical field (e.g. Statistics, Computer Science, etc.) with a keen interest in genetics and biomedical research, or those with PhD/MD in biomedical sciences with substantial experience in scientific programming are encouraged to apply for the position. Lastly, experience in analyzing genomic data, NGS data, or probabilistic machine learning is a plus.

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Postdoc Fellow in Bioinformatics

Reporting to the Genomics Core Facility Director and Director at the Waksman Institute, this position is responsible for analyzing high thorough-put sequencing data on next generation genome sequencers. The analysis entails assessing the quality of the data, processing of the data through appropriate analysis pipelines, determining the quality of the analysis and whether further analysis should be done, and assembling results for researchers.

Minimum Education and Experience:

• Ph.D. in Bioinformatics, Statistics genetics, Computer science and/or population genetics
• Experience in genomics analysis, next generation sequencing, and pipeline/database development
• Proficiency in Unix/Linux environment, and with at least one programming language (Python, R, Perl, Java, C/C++ etc.)
• Excellent knowledge and experience with large scale biological data analyses especially high-throughput sequencing data
• Background in statistics and/or machine learning preferred

Required Knowledge, Skills, and Abilities:

Able to perform:
1) to run analysis pipelines for NGS (next generation sequencing) data to support the Waksman Genomics Core activities
(2) help researchers in bioinformatics processing and analysis of NGS data using the appropriate genomics tools
(3) Development of innovative methods and/or novel applications of existing methods
(4) Implementation of newly developed pipelines adopted by others in the field
(5) Provide bioinformatics expertise in the planning and implementation of research concepts

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Posted on August 01, 2018