Jobs

Jobs in Bioinformatics, Genomics and Life Science

Job Alerts in this week (August , 2018)


Update on August 17, 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.

For detail click here


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

For detail click here


Posted on August 01, 2018

Postdoctoral fellows in single-cell functional Proteomics

We are seeking one or two highly motivated postdoctoral fellows in the area of single-cell proteomic technology, starting immediately in the Multiplex Biotechnology Laboratory. The potential postdoc will work on research projects related to biomedical microtechnology and single-cell systems biology for disease diagnosis and treatment. Research directions include exploring molecular engineering, bioinformatics, microarrays, microfluidics, systems biology, and cell biology for emerging problems in immunological diseases, cancer biology, immunotherapy, and regenerative medicine.

The postdoctoral fellow must have related experiences in one or more of the following areas: immunoassay, mouse model, DNA microarray, microfluidics and nanotechnology, systems biology, bioinformatics, cancer/immunology, biosensor, and biomaterials. Engineering or biomedical science background with experience of mouse blood cell experiments is preferred, and less than 3 years after obtaining the PhD degree is preferred. The candidate should have demonstrated ingenuity, productivity, and ability to work in a diverse, high energy environment.

Interested candidates should send a letter describing your interest in the position, CV, and names of three references to Email: jwang34@albany.edu.

For detail click here


Postdoctoral Associate in Computational Biology

Stony Brook University, home to many highly ranked graduate research programs, is located 60 miles from New York City on Long Island's scenic North Shore. Our 1,100-acre campus is home to 24,000 undergraduate, graduate, and doctoral students and more than 13,500 faculty and staff, including those employed at Stony Brook Medicine, Suffolk County's only academic medical center and tertiary care provider.

The Postdoctoral Associate will assist the Principal Investigator in the department of Applied Mathematics and Statistics as part of an NIH-funded project that will require frequent interactions with experimentalist collaborators at the Albert Einstein College of Medicine. The incumbent will conduct research and ensure that all experiments are appropriately conducted following the policies and procedures of Stony Brook University.

Required Qualifications: (As evidenced by an attached resume) 
PhD with specialization in Computational Biology, Bioinformatics or related area in hand by June 30, 2018. Previous publication in peer-reviewed journals.
Preferred Qualifications:  
Experience with next-generation sequencing bioinformatics and quantitative methods for analysis of high-throughput biological data. First author publication(s) in peer-reviewed journals.

Posting End Date: Oct 12, 2018, 3:59:00 AM

For detetail click here


Posted on July 30, 2018

Postdoctoral Research Scholars in Bioinformatics

University of Iowa Health Care, Department of Internal Medicine, Division of Pulmonary, Critical Care and Occupational Medicine Statistical Bioinformatics Lab (http://www.healthcare.uiowa.edu/labs/au/) is seeking candidates for two postdoctoral research scholar positions to work on sequencing analyses:

  • 1) Postdoctoral Research Scholar in bioinformatics method development:

We are looking for a postdoctoral scholar to develop statistical and computational/algorithmic methods for high-throughput sequencing data analyses, such as transcriptome and epigenetics using PacBio and Oxford Nanopore Technologies. Background on mathematics, statistics, computer science or degree in a related field is desirable.

  • 2) Postdoctoral Research Scholar in computational biology

We are looking for a postdoctoral scholar in biology background. Our lab performs world leading science in development process and cancer research. Our team focuses on making meaningful advances to understand development process and cancer, using cutting edge technologies (third generation sequencing technology) to create authentic models and gain novel biological insight in transcriptome and epigenetics level.

For detail click here


Postdoctoral position in Proteomics

The Department of Biochemistry and Molecular Biology at the University of Southern Denmark invites postdoc applications for the project "Spatiotemporal analysis of the centrosome and primary cilium proteome during ciliogenesis and the cell cycle" at the University of Southern Denmark, Odense for up to three years, available from 1 September 2018. Application deadline: 7 August 2018.

We are seeking extremely motivated, organized, and skilful scientists. Candidates for the position should have a background in cell biology or mass spectrometry-based proteomics. Also, fluorescence microscopy, molecular biology, and familiarity with computational data analysis will be greatly valued. The person should have a good level of written and spoken English.

To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.

Deadline 2018-Aug-07

For detail click here


Posted on July 27, 2018

Post-Doctoral scientist in Computational Biology

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.

The successful candidates will work closely with experimental biologists and be responsible for developing tools to analyze epigenomic (histone modification and DNA methylation) and genomic (Gro-seq, ChIP-seq) data. Expertise in developing bioinformatics tools using data mining and signal processing is highly recommended. We are seeking a computational biologist with research interests in the functional analysis of genome-wide datasets, in the context of metabolic research. An individual with background in the application or development of state-of-the art computational tools for evaluating Next Generation Sequencing (NGS) studies of transcription factors and epigenetic modifications/factors and large data sets are most highly desired. The most appropriate candidate will take advantage of close interactions with colleagues in IDOM, as well as the Cardiovascular Institute and Epigenetics Institute, which are co-localized in a new research building.

The minimum of a Master’s degree and 3 years to 5 years of experience or equivalent combination of education and experience required. An ideal candidate should have a Ph.D. in bioinformatics/computer science/physics or a related filed, be highly motivated in solving biological problems and have strong programming skills.

For detail click here


Genomics Data Scientist

Monsanto is seeking a highly motivated Genomics Data Scientist to become an integral member of the Global Breeding Genetic Modeling and Simulation team. The incumbent will be responsible for development and implementation of methods that combine statistical modelling and genomic datasets for phenotype-to-genotype analytics to further precision breeding for tomorrow’s crops.

Responsibilities: Develop methods and perform analysis that connect genotypes and haplotypes to desired traits in row crop products. Develop strategies to fully leverage genomic insights in breeding decisions. Key contributor to creation of a database of Monsanto’s accumulated germplasm knowledge for breeding decisions Key contributor to development, with R&D IT, of internal tools to facilitate both large scale and custom genotype-to-phenotype analytics Key contributor to breeding collaborations on gene editing and genome design.

Skills/Experience: PhD in Quantitative Genetics, Statistics, Evolutionary Biology, Population Genetics, Genomics, Systems Biology, Computational Biology, Applied Mathematics, or related field of study Strong problem solving and critical thinking skills Working knowledge of complex trait genetics Proficiency working with very large data sets and high performance computing Demonstrated fluency with Python and/or R.

For detail click here


Posted on July 25, 2018

Post-Doctoral Associate in Computational Biology

The Deparment of Pharmacology ( University of Minnesota ), which is part of the Medical School -- is active in both laboratory research and teaching, and we have courses and research opportunities for graduate students, undergraduates, and professional students. As our knowledge of the molecular basis for disease grows, more pathways are discovered that have potential for therapeutic intervention.

The postdoctoral appointee will independently conduct prostate cancer research in the laboratory of Dr. Justin Drake. The candidate will have the opportunity to join and grow a highly translational laboratory and to analyze experiments relative to the understanding of kinase signaling and targeted cancer therapies in lethal prostate cancer. The selected candidate will be expected to prepare and participate in data generation and data analysis to study investigators, author and co-author on reports, abstracts, and publications, and collaborate on other projects as necessary.

Required Qualifications:
Ph.D. in cancer biology, computational biology, or other related field and research experience in kinase signaling and signaling transduction.

Preferred Qualifications:
Expertise in mammalian tissue culture, phosphoproteomics, animal dissection and surgeries, immunohistochemistry, western blot, drug dosing, signaling kinetics, experience with bioinformatics analysis of large RNA, DNA, or protein datasets, and other applications including clinical tissue acquisition.

Job ID: 322011

For detail click here


Bioinformatics Developer

Synthego is seeking a talented bioinformatics scientist to join a multidisciplinary team focused on the development of novel models and tools to better understand and predict genetic editing. You will work closely with research scientists to design genetic editing experiments and interpret their results as well as with the computational biology group to deploy your solutions into a production environment. The successful candidate will contribute to all aspects of the bioinformatics pipeline, including data mining, oligonucleotide probe design, algorithm development, and data analysis.

What You'll Do

  • Develop and maintain core bioinformatics resources with a strong emphasis on data storage, data provenance and computational pipelines
  • Develop well documented and defined APIs to allow multiple teams to self serve from your core tools

About You

  • PhD in Bioinformatics, Statistical Genetics, or Genome Science with experience in genotyping and/or genetics or equivalent experience
  • 5+ years relevant experience developing and implementing software solutions for structural analysis,  functional analysis and custom annotation of whole genomes

For detail click here


Posted on July 23, 2018

Postdoctoral position in Bioinformatics

UCSF Benioff Children's Hospital Oakland is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

A postdoctoral position is available on an ongoing project to study gene expression before, during and after pregnancy among healthy women and women with rheumatoid arthritis (RA). We are interested in understanding what biological changes may be involved in inducing a natural improvement of an incurable systemic disease like RA during pregnancy and what potential mechanisms of transcriptional control could be regulating these changes. This highly interdisciplinary research involves using state-of-the-art genomic (RNA-seq, ChIP-seq), bioinformatics and statistical modelling approaches.

Position Qualifications: Applicant must have a Ph.D. in Bioinformatics or a related field, with experience in analyses of RNA-seq data. * Experience with statistical models is required. * The applicant must be proficient in statistical and scripting programming language such as R.

For detail click here


Technical Assistant Genomics/ Epigenomics in Biomedicine

At CeMM, we take career development of our staff seriously. For example, we will train the successful candidate in state-of-the-art technologies that are in high demand in academia and industry, and we encourage contribution to and co-authorship of scientific publications. Importantly, genomic medicine is a hot topic in Austria and internationally, creating a highly promising area for a career in biomedical research and applications.

We are recruiting a technical assistant to join our work on dissecting the genetic and epigenetic basis of cancer and immune diseases using next generation sequencing. Our lab is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, on the campus of one of the world’s largest hospitals and medical schools, pursuing an ambitious research program in molecular medicine.

Relevant Qualifications:

  • Library preparation for next generation sequencing (manually and/or with automated robotic systems)
  • Next generation sequencing on Illumina machines (NovaSeq, HiSeq 3000/4000, NextSeq, Miseq, etc.)
  • Optimization and testing of new protocols, e.g. for CRISPR screens, single-cell sequencing, and epigenome editing
  • Troubleshooting of technical problems in the sample preparation and sequencing workflows
  • Contribution to lab management, training of new lab members, and scientific publications
  • We ask for a time commitment of at least 3 years (candidates considering a PhD should apply instead to the CeMM PhD Program)

Applications will be reviewed on a rolling basis. Any application received by 1 September 2018 will be considered. Start dates are flexible.

For detail click here


Posted on July 20, 2018

Scientist / Senior Scientist, Computational Biology

Founded in 2018, The Bioinformatics CRO is leading the way in creating meaningful and rewarding professional career paths for computational biologists who work remotely . Our globally distributed workforce of top bioinformaticians uses cloud computing to offer quality customized bioinformatics services to acade mics, pha rma, and biotech worldwide , with a focus on genomics . We ’re based in Florida, but you don’t have to be. Check us out at www.bioinformatic scro.com ( flexible moonlighting contract work is also available)

Position description: You will play a key role in advancing scientific projects around the world. If you like to be challenged by multiple diverse genomics projects this job is for you. This role is for you if you take ownership over projects and can juggle multiple tasks. You work efficiently and produce quality results. You are self-motivated, a fast learner, and have proven capable of independent work. You will hit the ground running. Your peers think you are exceptional and you always put the team first. You live anywhere in the world and generally choose when to put in your time (with occasional exceptions for meetings). Part-time is possible if you prefer.

Responsibilities

  • Work closely with experimental biologists from biotech, pharma, universities, and research institutes on study design and to analyze large-scale datasets to reach biological conclusions
  • Write and version control code and participate in internal peer review of code, methods, and reports
  • Communicate research via well written reports and client meetings
  • Develop web interfaces and well commented, version-controlled code
  • Work collaboratively on projects with employees, contractors, and clients
  • Help develop project timelines and resource requirements
  • Work with experimental CROs to offer samples-to-results genomics services
  • Occasional travel required (e.g. retreats, conferences, client on-sites)
  • Whatever needs to be done – it’s a small company!

Requirements

  • PhD in a quantitative field, preferably computational biology, computer science or biology
  • Minimum of 6 years of experience doing primarily computational biology (can include time in PhD)
  • Proficiency in both R and python, and experienced in the use of version control
  • Strong computational fundamentals including machine learning, algorithms, and data structures
  • Experience with large datasets, next-generation sequencing analysis, and high-performance or cluster computing
  • Strong biological knowledge and interest; familiarity with biological data resources
  • Completion of multiple research projects using functional genomics data
  • Excellent written and verbal English skills
  • Regular access to a reliable high-speed Internet connection
  • Good publication record, including first author publications

How to apply:

  • Email grant@bioinformaticscro.com with the subject line “Scientist/Senior Scientist, Computational Biology” (attention to detail matters!)

For detail click here


Post-doctoral fellow in Computational Biology

We are always open to talented and motivated postdoctoral fellows and graduate students. We are a computational biology lab with a strong interest in the genomics of adult and pediatric cancer. We explore a broad range of questions including cancer evolution under exogenous pressure such as systematic therapy, genetic underpinning of drug response, telomere and telomerase, gene fusions, etc. The candidate will have the opportunity to leverage level one data from public resources such as TCGA, TARGET, and GTEx, and will have access to a large collection of in-house xenograft data being generated at GCCRI. Our institute provides a multidisciplinary and collegial academic environment, led by Dr. Peter Houghton, and convenient access to an extensive array of core facilities including the genomic sequencing core.

The candidates are expected to lead multiple research projects, perform data analysis, report progress in conferences, and write manuscripts. The candidates must have a PhD or MD degree in a related field (bioinformatics, computational biology, genomics, genome science). A strong computational background with experience in at least one programing language (e.g. R, Python, Java, Perl) and Linux working environment is required. Experience working with TCGA, ICGC, COSMIC, 1000 Genomes, ENCODE, GTEx, or ExAC, or other large-scale sequencing data analysis is highly preferred. Candidates are also expected to have some basic understanding of cancer biology. Two first author publications in peer-reviewed journals are a minimum requirement.

For detail click here


BIOINFORMATICIAN

The bioinformatics analyst will work closely with Dr. Soumya Raychaudhuri and manage the data for the AMP-RA/SLE network, the hardware resources of the Systems Biology Group, and will also maintain the key pipelines for bulk RNA-seq, single cell RNA-seq, and mass cytometry data. S/he will also contribute to the development of novel pipelines, and to devising analytical strategies for interpreting multiple modalities of data. S/he will work closely with the ImmPort database and each of the research sites, which will send data, to insure appropriate data processing, dissemination, and access to the SBG hardware resources.

PRINCIPAL DUTIES AND RESPONSIBILITIES
1. Calculate, transcribes and analyzes data using advanced statistical techniques.
2. Contribute to the ongoing design and development of the software technology, algorithms, and databases for big-data analysis and storage.
3. Oversee data processing, dissemination, and access to the SBG hardware resources.
4. Performs literature searches and helps to prepare presentations and written articles for publication.
5. In collaboration with PI or Research Manager, establishes new and modifies existing research techniques.
6. All other duties as assigned.

Qualifications

BS or MS in appropriate technical, scientific, or engineering discipline (preferably bioinformatics, computational genomics, biostatistics, or computer science) Strong programming skills capable of conceiving, of implementing and optimizing programs operating on large data sets. One year of work experience in an academic research setting preferred.

For detail click here


Posted on July 18, 2018

Post Doc Position in Virus Evolution and Epidemiology

We are looking for a computational biologist to join us to work on exciting projects combining molecular epidemiology and functional studies of arboviral infections.

The Simon-Loriere lab ( Virology department of Institut Pasteur) is a junior group (G5) newly created in the Virology department with the support of the Inception program. The aim of the current project is to study dynamics of arbovirus emergence or endemic circulation, and the underlying mechanisms, at the scale of individual outbreaks through the integrated analysis of genomic, spatial and temporal data.

Previous experience in computational analysis of viral sequence data, evolution and quantitative skills will be essential, ideally including familiarity with high-throughput sequencing and large genomic data sets. The viral NGS data is generated by other members of the group, so the work is exclusively focused on data analysis and no lab skills are required. Knowledge of epidemiological models, phylodynamic approaches (including Bayesian methods), and pathogen evolution would be desirable but not essential.

To apply: candidates should send in a single pdf: a cover letter including a brief description of their scientific achievements and research interests, how they would fit in a junior group, their CV and contact information for 3 references to etienne.simon-loriere@pasteur.fr.

For detail click here


Post-doctoral fellow in Bioinformatics/ Epigenomics

The Channing Division of Network Medicine at Brigham and Women's Hospital is looking for exceptional postdoctoral fellowship candidates to join the Systems Genetics and Genomics group to advance research in respiratory disease, with a focus on pulmonary fibrosis and chronic obstructive pulmonary disease (COPD).

Our group has led some of the largest and most comprehensive genetic and multi-omic studies in lung diseases, including identifying novel genetic associations and performing functional studies to identify new disease pathways. Fellows will work with an interdisciplinary team, consisting of geneticists and genetic epidemiologists, biostatisticians, computational biologists, and translational scientists and clinicians, including biostatistics faculty at the Harvard School of Public Health.

Qualified candidates should have a Ph.D. in bioinformatics, statistics, mathematics, physics, or a related quantitative field and strong programming skills in R / Bioconductor, Python, or MATLAB; previous experience in analysis of epigenetic,genetic or other -omic data is mandatory with candidates with experience in the analysis of sequencing data given priority.

Qualified candidates should submit their CV, the names of two references, and a cover letter to Dr. Dawn DeMeo (dawn.demeo@channing.harvard.edu).


Bioinformatics Analyst

This role partners with clients to design, develop, implement and maintain business solutions regarding data management and analysis. This includes database administration, data consolidation, data analysis and management reporting. Utilizes software to generate metrics and develops actionable recommendations. Collaborates with various function teams such as marketing, research, and IT to achieve business results.

The Bioinformatics Analyst Works with faculty and researchers in the lab to design, develop, implement strategies for data management and analysis. This includes managing LIMS, database administration, data consolidation, and performing basic and advanced analyses of data sets using current open source software and by developing new analytical pipelines for NGS data sets including WGS, WES, RNA-seq, ChIP-seq, HLA typing and variant analysis.

The successful candidate will have a background in bioinformatics, biostatistics or computational biology and experience working in a Linux/Unix environment and developing scripts for processing data in languages such as Perl, Python, JAVA, C++ and/or R.

 Minimum Qualifications/Competencies:

  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
  • 4 years data analysis/report writing or similar experience required.

Job ID 33175

For detail click here


Posted on July 16, 2018

Postdoctoral Research Scientist in Statistical Genomics/Genetic Epidemiology

The Max Planck Institute (MPI) for Psycholinguistics, Nijmegen, the Netherlands, is offering a Postdoctoral Research Scientist position in Statistical Genomics/Genetic Epidemiology. The host research group, led by Dr Beate St Pourcain, investigates the genetic basis of social communication, language and interaction in large population-based cohorts.

The successful applicant will hold, or shortly expects to obtain, a PhD qualification in Statistical Genomics, Genetic Epidemiology, Medical Statistics or a related quantitative discipline involving the interrogation of 'omics' datasets. This includes a strong computational background with knowledge of shell, R, Python or Perl or another programming language, and familiarity with approaches to integrate biological information from a wide range of (publicly available) data resources.

Knowledge of one or more of the following data-analytical approaches is an advantage:

  • Mendelian Randomization techniques
  • Structural equation modelling or twin modelling techniques
  • Methods to detect human selection and adaptation

Applications will be reviewed from 1 September 2018 until the position is filled.

For detail click here


Bioinformatics Scientist (Statistical Genetics/Genetic Epidemiology)

The New York Genome Center (NYGC) is an independent, nonprofit academic research institution at the forefront of transforming biomedical research with the mission of advancing clinical care. A collaboration of premier academic, medical and industry leaders across the globe, the New York Genome Center is committed to advancing genomic research and offering clinical genomic testing so that new treatments, therapies and therapeutics against human disease can be developed. NYGC member organizations and partners are united in this unprecedented collaboration of technology, science and medicine, designed to harness the power of innovation and discoveries to advance genomic services.

The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our informatics division in the computational biology group. As Bioinformatics Scientist (Statistical Genetics/Genetic Epidemiology), you will be responsible for the analysis of genomic data, including genotyping and exome and whole genome sequencing. Work will include genotype/phenotype association, ancestry inference, and development of QC/QA for familial and population sequencing projects. You will work as part of a team of analysts and scientists, and report to the Senior Director of Computational Biology.

Required Skills

  • PhD in genetics, statistics, biostatistics, genetic epidemiology, bioinformatics, computer science, physics, mathematics or similar with 2+ years relevant experience and demonstrable computational and statistical skills required;
  • In-depth understanding of the mathematical/statistical principles and methods that are relevant to computational genomics and disease modeling, including association, linkage, and burden tests;
  • Experience with methods and tools for imputation and phasing of variants;
  • Familiarity with methods and tools for ancestry and relatedness estimation;
  • Familiarity with commonly used public genomics datasets (e.g.; 1000 Genomes, TCGA, GTEx);
  • Background in disease-focused genomics (e.g. pediatric phenotypes, immunology, neurological or psychiatric disorders) preferred

Tracking Code 278-105

For detail click here


 

Posted on July 13, 2018

Postdoctoral Scholar in Bioinformatics

A postdoctoral position in Physical Bioinformatics, funded by the National Science Foundation, is available in Ed O’Brien’s lab, located at Penn State, University Park. A Postdoctoral Scholar hired into this position will have strong computational skills, including experience scripting and performing data analyses of next generation sequencing (NGS) data, as well as experience designing computational analyses for answering biological research questions. An education or training in physics or chemistry is strongly preferred. This researcher’s efforts will be focused on studying translational control of gene expression through development of bioinformatic analysis tools rooted in the physical sciences to extract translation rates from NGS data, and computational predictions that will be experimentally tested by our collaborators.

The O’Brien Lab is a multi-disciplinary team of researchers from the fields of chemistry, physics and bioinformatics who address questions at the cutting-edge of molecular and cellular biology through the development and application of computational and theoretical techniques. These tools include mathematical modeling, simulations and bioinformatic methods. A major effort in the lab is to understand influence of translation kinetics on downstream in vivo protein behavior.

The start date for this position is flexible - any time between August and November 2018 is possible. This position requires a Ph.D. by the time of employment. Applications must be submitted electronically and should include a cover letter and curriculum vitae, including an explanation of prior training, qualifications for this position, and a list of publications.

For detail click here


Bioinformatics Postdoctoral Fellow

The La Jolla Institute for Allergy & Immunology, an independent, non-profit research institute, is seeking talented and highly motivated postdoctoral fellows specializing in bioinformatics and computational biology to join Ferhat Ay’s Lab starting summer 2017 in San Diego, CA.

Qualifications:
Successful candidates will conduct research in a dynamic and a highly collaborative environment. The research will involve development of novel computational methods for analysis and integration of large-scale, heterogeneous data sets in order to link epigenetic mechanisms, such as the three-dimensional organization of chromatin, to gene regulation. The developed methods will also be applied to first-hand data produced in collaboration with top-notch research groups at the institute, in San Diego area or elsewhere.

Requirements:
• Ph.D. with a strong background in Computer Science, Statistics, Machine Learning or Bioinformatics.
• Excellent programming skills in at least one programming language (preferably Python)
• Proven record of scientific publications in bioinformatics and/or genomics journals.
• Ability to develop novel computational methods, algorithms and data processing pipelines.
• Excellent communication and presentation skills.

For detail click here


Posted on July 11, 2018

Postdoc position: Bioinformatics and Genomics

A postdoctoral position is available in the Liver Cancer Translational Research Lab at IDIBAPS - Hospital Clinic Barcelona. The lab is lead by Prof. Llovet and it consists of a multidisciplinary team dedicated to unravel the molecular determinants of liver cancer. Our research pivots on high - throughput genomic data and state - of - the - art disease models. Our final goal is to identify novel prognostic predictors and molecular targets , and to facilitate their implementation into clinical management.

Current areas of interests include the identification of mechanisms driving immune infiltration in HCC , and of biomarkers of response to treatment (immune checkpoint inhibitors and combina tions); and the development of mouse models capable of recapitulating specific HCC features for testing the efficacy of different therapies and to assess mechanism of drug action. Our efforts are supported by several national and international grants including.

Post - doctoral position to be involved in different projects related to the molecular pathogenesis of hepatocellular carcinoma, with a strong component of immunology, and including de- regulation of signaling cascades and molecular oncogenomics.

For detail click here


Bioinformatician

The Ensembl Project, based at the European Bioinformatics Institute (EMBL-EBI), is one of the leading providers of genome annotation. The Variation Annotation Team is seeking to recruit an experienced and highly motivated bioinformatician/scientific programmer to contribute to Ensembl variation resources.

Large-scale sequencing projects are producing genomic data on an unprecedented scale, providing extensive variant catalogues in many species and leading to the discovery of rare human variants. These data have the potential to drive an improved understanding of genetic disease, evolution and population genetics.

Qualifications and Experience:

You should have a first degree and either a higher degree or equivalent experience in genetics, biological or computational sciences. You will have experience of working in a production development environment, ideally creating both efficient large-scale data analysis pipelines and user-friendly tools and APIs. You should be familiar with all stages of the software development process and be used to working to deadlines. Experience of managing genomics data and working with bioinformatics or statistical tools will be an advantage.

Closing Date: 5 August 2018

For detail click here


Posted on July 09, 2018

Postdoctoral in Computational biology

The Jackson Laboratory for Genomic Medicine (JAX-GM) is part of The Jackson Laboratory, a non-profit research institute whose mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. The JAX-GM campus is in Farmington, CT, adjacent to the University of Connecticut Medical School (UCONN-Health). JAX-GM resides in a state-of-the-art facility constructed in 2014 with cutting edge resources in sequencing, single cell biology, computational biology, cloud computing, imaging, genetic engineering, and xenografting, among other technologies.

Computational biology is critical not only to the processing and manipulation of data, but to the scientific discovery process itself. Our lab empowers computational biologists to make discoveries by providing access to novel data and computational infrastructure, resources to conduct new experimental measurements, and partnerships with experimental colleagues with shared interests.

For these positions and our postdoctoral opportunities in general, the ideal candidate will have Ph.D. experience in computational biology, molecular evolution, cancer genomics, or a similar discipline. Strong computing (programming, data analysis, statistical inference, etc), publication, and communication skills are essential. Outstanding applicants new to computational biology will also be considered as the lab has an extensive record of training candidates who originally studied in other fields, including physics, applied math, computer science, and experimental molecular biology.

For detail click here


Research Associate in Genomics

A research associate (postdoc) position is available in quantitative genetics and genomics at Michigan State University in the laboratory of Dr. Wen Huang. Our laboratory is broadly interested in the genetics of complex quantitative traits using Drosophila and livestock animals as models. Laboratory approaches include classical genetics, molecular biology, genomics, statistics, and bioinformatics.

This position invites applications from candidates with background in experimental and/or quantitative biology. Candidates with a recent Ph.D. and experience in Drosophila genetics, molecular biology, bioinformatics are strongly encouraged to apply. Potential projects include mapping developmental and environmental regulatory variation at single cell and single base resolution, development of massively parallel assays to assess effects of regulatory variation, experimental evolution under different diets, development and application of statistical methods for explaining and predicting quantitative trait variation.

Minimum Requirements:

  • PhD in relevant scientific area including Genetics, Molecular Biology, Bioinformatics
  • Experience in molecular biology, genetics.
  • Excellent communication and organizational skills
  • Ability to work independently but also a team player
  • A strong work ethic and a commitment to becoming an independent scientist
  • Excellent skills in scientific writing

For detail click here


Posted on July 06, 2018

Post Doctoral Scientist - Institute for Genomic Medicine

The Institute for Genomic Medicine (IGM) at Nationwide Children’s Hospital is creating a future that integrates genomics into the everyday practice of pediatrics.

We’re looking for a Postdoctoral Scientist to join our Technology Development Group to develop novel computational and statistical approaches for the analysis and interpretation of genomic data in pediatric cancer and other rare genetic diseases. The Technology Development Group supports the Institute’s laboratory and sequencing needs, designing cutting edge genomic applications and research in the area of human health.

Responsibilities

• Perform next generation sequencing (NGS) downstream analysis and visualization

• Research, development and evaluation of novel computational approaches for NGS analysis

• Contribute to both research and clinical initiatives to develop software solutions for complex genomic analysis projects, the team collaborates with IGM faculty and R&D teams to develop highly optimized state-of-the-art bioinformatics solutions.

• Author journal publications and present at professional meetings

Minimum 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

For detail click here


Clinical Biostatistician

Calico is a research and development company whose mission is to harness advanced technologies to increase our understanding of the biology that controls lifespan, and to devise interventions that enable people to lead longer and healthier lives. Executing on this mission will require an unprecedented level of interdisciplinary effort and a long-term focus for which funding is already in place.

Calico is seeking a clinical biostatistician with extensive experience in First-in-Human (FIH) studies in bringing novel therapeutics to the clinic. The successful candidate will join a small clinical team responsible for advancing exciting drug candidates into clinical trials to treat diseases with high unmet medical need.

Position requirements:

  • Ph.D. in statistics or biostatistics
  • A minimum of 5 - 10 years of drug development industry  experience (Biotechnology or Pharmaceutical) in clinical biostatistics supporting early drug development (FIH through to proof-of-concept)
  • Expertise in clinical statistical trial design
  • Ability to lead analysis, data visualization and reporting of clinical trial results
  • Ability to review data for potential biomarker development

For detail click here


Posted on July 04, 2018

Research Fellow - Neurology Bioinformatics

A Research Fellow opportunity is available in the Department of Neurology at Mayo Clinic, in Rochester, Minnesota. The candidate of choice will work on multi-modality analyses involving structural MRI, functional MRI, molecular PET imaging and histopathology in subjects with autopsy confirmed Alzheimer’s disease in order to uncover novel biological relationships between imaging characteristics of Alzheimer’s and the underlying brain pathologies.

This position will require experience in machine learning or artificial intelligence. Some knowledge of neuroscience would be beneficial. The role will involve the development and application of unique tools that can be utilized to identify complex patterns or relationships in large datasets. Writing of manuscripts for publication, and presentation of results at national and international conferences are encouraged. 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.

For detail click here


Bioinformatics Analyst/Programmer

A bioinformatics analyst or programmer position is immediately available at the lab of Dr. Zhandong Liu from the Baylor College of Medicine at the Neurological Research Institute (NRI). Primary responsibilities include application and development of bioinformatics analytics pipelines to multiple types of high-throughput genomics, transcriptomics, and proteomic data. The successful candidate will be expected to work closely with computational as well as wet-lab bench scientists.

Education and Required Experience:

  1. Minimum BS in Bioinformatics, Biostatistics, Computer Science, Statistics or related field. MS preferred.
  2. Minimum one year experience in mathematical and scientific programming language R or Matlab.
  3. Minimum one year experience in scripting language Python, Perl, or equivalent.
  4. Competence with UNIX environment.
  5. Strong communication and scientific reporting skills (verbal, written, and graphical).

Preferred Skills and Experience:

  1. Application of computational and statistical methods to large-scale molecular biology data.
  2. Familiarity with bioinformatics tools and biomedical sciences databases.
  3. Background in statistics and machine learning, but the candidate will be given opportunities to expand their training in these areas if desired.
  4. Strong data processing skills who enjoys working with numbers and solving complex problems.
  5. Excellent focus and management of tasks from multiple concurrent projects.

For detail click here


Posted on July 02, 2018

Postdoc in bioinformatics for Precision Medicine

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.

Qualifications The successful applicant is expected to have a doctoral degree in the fields of bioinformatics, biostatistics, computational biology or systems biology. The applicant should be self-driven and possess excellent interpersonal and communication skills in spoken and written English to match our dynamic, international, multidisciplinary and collaborative team.

Desired qualification and experience

  • PhD in the fields of Bioinformatics, Biostatistics, Computational Biology, Systems Biology
  • Strong data analysis skills and experience with multi-omics datasets (transcriptomics, proteomics, genomics, epigenomics, metabolomics), and expertise in relevant bioinformatics data analysis pipelines
  • Experience in working in a Linux environment and knowledge of R and Python are required.
  • Experience with statistical methods
  • Ability to learn new programming languages when required
  • Experience with Shiny and motivation to develop web-based interactive tools is beneficial

Last application date 31.Jul.2018 11:59 PM CET

For detail click here


Bioinfomatics Engineer

The Bioinformatics Engineer (BE) will lead the ongoing project activities on the development and implementation of a suite of computational pipelines on workflow engines, and implement the customization of the user interfaces for accessing these pipelines through web-based portals and the integration with parallel computing environments, including but not limited by the following responsibilities:

  • Bioinformatics data processing and analytics - The BE will be responsible for implementing robust and scalable software engineering solutions to support the processing and analysis of flow/mass cytometry and RNA-seq data from multiple collaborative projects using state-of-the-art computational and statistical approaches.
  • Application programming interface - The BE will lead the development and implementation activities for integrating the existing computational components and cyberinfrastructures for standardized exchange of data and results of data analysis.

Qualifications:

Successful candidates should have a Master’s of Science or Ph.D. degree in the computer sciences, computer engineering, biostatistics or related field, with strong familiarity with bioinformatics, computational biology, data analytical portals and web-based software systems. Successful candidates should have advanced programming skills as well as experience with high performance computing and compute clusters.

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Posted on June 29, 2018

Postdoctoral Fellow in Bioinformatics

A Postdoctoral Fellow (“postdoc”) is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new research techniques, in preparation for an academic or research career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and augment the role of graduate faculty in providing research instruction to graduate students.

Minimum Experience/Education
The Postdoctoral appointee must have recently been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.). Knowledge of genomics, genomic annotation, transcriptomics, animal physiology and evolution.

Position Number: POST40

Posting Close Date 06/29/2018

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Bioinformatics Programmer, Immune Response

At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer.

The Bioinformatics Programmer position will work in a lab focused on developing tools for the genetic analysis of the immune response. The group uses a variety of conventional and specialized in-house gene sequencing assays in biotechnology development. The candidate will work in a small team of programmers and experimental scientists in developing analysis software for a variety of immune response genotyping data sets.

Responsibilities

  • Document, refactor, and improve Java codebase for genetic analysis software
  • Use Git version control and participate in code review
  • Develop and maintain cloud-based resources
  • Maintain excellent working knowledge of Amazon Web Services tools
  • Organize data resources from the variety of projects so that others in the group can access them.

Qualifications

  • Functional Java, Python, and Linux
  • Understanding of nucleic acid chemistry
  • Demonstrated ability to analyze next generation sequencing data
  • A degree (B.S., M.S., or Ph.D.) in biological science or engineering
  • Required experience: B.S. with 3-4 years of directly related experience; M.S. with 1-2 years of directly related experience.

For detail click here


Posted on June 27, 2018

Postdoctoral position in Computational biology/ Bioinformatics

Oslo University Hospital is a highly specialized hospital in charge of extensive regional and local hospital assignments. As Scandinavia’s largest hospital, we carry out more than 1.2 million patient treatments each year. The hospital has a nationwide responsibility for a number of national and multi-regional assignments, and has several national centers of competence.

A postdoctoral position within the field of bioinformatics or computational biology is available at Oslo University Hospital – Norwegian Radium Hospital. The candidate will work at the Department of Pathology at the Norwegian Radium Hospital. The appointment is a full-time position for three years.

We seek for a highly motivated person with good knowledge in molecular biology, human genetics, data mining and computational programming. Ideally, the candidate should hold a PhD in bioinformatics or computational biology. However, PhD in physics, computer science or mathematics may also be considered if the candidate can show his/her potential in learning molecular biology and human genetics. All candidates must show high English language skills.

For any inquiries please contact Junbai Wang at email: junbai.wang@rr-research.no

Ref. no. 3780815689

For detail click here


Postdoc in Genomic selection in trout

QGG comprises about 20 senior staff and a large group of PhDs and postdocs. The center provides a very dynamic and internationally orientated environment with strong collaborations with relevant industrial partners and with several other leading international research groups in the area. Research within QGG includes both basic and applied research on the genetic basis of complex traits in farm animals, plants and model organisms.

Research area
The successful candidate will develop genomic selection tools for trout breeding. The research project will cover genotyping and phenotyping strategies, genotype by environment interaction, methods and models for accurate genomic selection across different lines/populations and production systems, assessment and validation of genomic selection in trout breeding, and implementation of genomic selection in practical trout breeding. 

Required qualifications
• PhD in Quantitative genetics, statistical genetics, animal breeding /genetics, or equivalent subjects
• Solid knowledge of quantitative genetics, statistics and animal breeding
• Sound knowledge of genetic evaluation and selection methods
• Experiences on working with genomic selection and/or fish breeding is highly desirable and will be prioritized
• Strong organizational and communication (in English, both oral and written) skills

For detail click here


Posted on June 25, 2018

Postdoctoral Position in Bioinformatics

We are interested in understanding the intersection of genetics, genomics and human disease, with a focus on cancer. By leveraging large datasets and utilizing different computational methods we are better able to investigate the biology underlying cancer and other diseases.

Requirements:

  • A PhD degree in Computational Biology or Bioinformatics, or other relevant field (e.g. statistics, computer science, or quantitative biology)
  • Experience in algorithm development
  • Experience in the application and development of statistical methods or machine learning algorithms
  • Experience analyzing microarray and/or next generation sequencing data
  • Demonstrable expertise in R/Matlab/Perl/Python and other computational skills
  • Knowledge of basic molecular biology

For detail click here


Post Doc Research Scholar in Bioinformatics

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.

The post-doc will utilize next-generation sequencing data in barley and wheat. Research includes analysis of genes affecting growth and development of small grains plants. Research will also focus on development of high throughput, cost effective protocols to simultaneously genotype large numbers of loci, developing bioinformatics pipelines, characterizing genetic diversity and population structure, and genome-wide mapping for cereal improvement.

Ph.D. or equivalent doctorate (e.g., M.D., D.V.M., Sc.D.) in appropriate field awarded no more than five (5) years from initial date of postdoctoral appointment.

  • PhD in plant breeding, genetics or bioinformatics or a related field.
  • Strong data management and analysis skills.
  • Excellent written and oral communication skills
  • Demonstrated experience preparing high quality scientific manuscripts.

For detail click here


Posted on June 22, 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

For detail click here


Postdoctoral in Computational biology

The Jackson Laboratory for Genomic Medicine (JAX-GM) is part of The Jackson Laboratory, a non-profit research institute whose mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. The JAX-GM campus is in Farmington, CT, adjacent to the University of Connecticut Medical School (UCONN-Health). JAX-GM resides in a state-of-the-art facility constructed in 2014 with cutting edge resources in sequencing, single cell biology, computational biology, cloud computing, imaging, genetic engineering, and xenografting, among other technologies.

Computational biology is critical not only to the processing and manipulation of data, but to the scientific discovery process itself. Our lab empowers computational biologists to make discoveries by providing access to novel data and computational infrastructure, resources to conduct new experimental measurements, and partnerships with experimental colleagues with shared interests.

For these positions and our postdoctoral opportunities in general, the ideal candidate will have Ph.D. experience in computational biology, molecular evolution, cancer genomics, or a similar discipline. Strong computing (programming, data analysis, statistical inference, etc), publication, and communication skills are essential. Outstanding applicants new to computational biology will also be considered as the lab has an extensive record of training candidates who originally studied in other fields, including physics, applied math, computer science, and experimental molecular biology.

For detail click here


Posted on June 20, 2018

Postdoc Bioinformatics

The Helmholtz Zentrum München in Munich, Germany, is member of one of the leading research associations in Europe - the Helmholtz Association of German Research Centers. The aim of our research is to proactively detect health risks involving humans and the environment, decoding the mechanisms of pathogenesis and developing concepts for prevention and therapy.

The Institute for Diabetes and Obesity (IDO) headed by Prof. Dr. Matthias H. Tschöp is located at the Helmholtz Zentrum Munich. The institute is focused on the development of personalized preventive and therapeutic strategies for diabetes and obesity. We are looking for a Postdoc - Bioinformatics.

Job Description

  • Develop and apply computational methods to analyse RNA-sequencing datasets, including data generated with single-cell techniques.
  • Integration and Analysis of genomic-, imaging-, and additional omics-data.
  • Development of brain specific cell-cell communication models in close collaboration with experimental partners.

Your Qualifications

  • Master's Degree and PhD in Physics, Mathematics, Computational Biology, Bioinformatics or a related subject
  • High motivation, curiosity, and commitment to scientific excellence
  • Strong programming skills
  • Good knowledge of statistics

For detail click here


Research Officer (Bioinformatician)

Baker Heart and Diabetes Institute is an independent, internationally-renowned medical research facility, with a history spanning more than 90 years. The Institute's work extends from the laboratory to wide-scale community studies with a focus on diagnosis, prevention and treatment of diabetes and cardiovascular disease.

Duties
You will perform a range of tasks, including:

  • Providing biostatistics and bioinformatics expertise for experimental/study design, data analyses and interpretation, and reporting of results.
  • Collaborating with other Baker Institute Laboratories to provide bioinformatics support and to identify experimental design/data analysis issues that would benefit from bioinformatics/biostatistics expertise.
  • Coordinating the processing and analysis of data.
  • Developing new and/or revised analytic methodologies.

Skills and Experience
To succeed in this role, you will have:

  • A PhD in a quantitative discipline (such as bioinformatics, computational biology, computer science, statistics or epidemiology) and/or health science discipline (such as biochemistry, molecular biology or genetics/genomics).
  • Research experience in genetics, genomics, computational biology or bioinformatics including significant experience in the statistical or computational analysis of large human genomic datasets.

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Posted on June 18, 2018

Postdoctoral fellow in Bioinformatics and Computational Biology

Located in Houston, MD Anderson Cancer Center has been ranked for the last five years in a row as the leading cancer care and research institution in the country. It also enjoys a great reputation for promoting career development for postdoctoral fellows. For example, in 2007, MD Anderson was ranked ranked No. 1 as the “Best Places to Work” for postdocs by the Scientist. Recently the department has grown rapidly, bringing together cancer biologists, computational biologists, biostatisticians, software engineers, and medical professionals.

A postdoctoral fellow position is open in Chen’s group in the department of Bioinformatics and Computational Biology at MD Anderson Cancer Center.

Duties & Responsibilities: Develop computational methods and perform statistical analyses to interpret large-scale sequencing data towards understanding the etiology and the evolution of cancer.

Qualifications: An ideal applicant is expected to have a strong career interest and a record of success in scientific research; a Ph.D. in a quantitative field such as bioinformatics, genetics and genomics, computer science, engineering, math and physics; broad experience in interdisciplinary research and demonstrated strength in at least one of the following areas: algorithm design, statistical analysis, and cancer biology.

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Postdoc in Computational biology

A postdoctoral position is available immediately in the laboratory of Dr. Sue Rhee at the Carnegie Institution for Science, Department of Plant Biology, to create and analyze metabolic networks of plants. Plant metabolism is the biological engine that feeds the world, not only humans but also microbes and animals. The successful candidate will lead the development of computational tools and methods for predicting plant metabolic enzymes, transporters, and regulators as a part of a team called the Plant Metabolic Network (PMN, www.plantcyc.org).

Qualified candidates must have a Ph.D. or equivalent in Computer Science, Statistics, Engineering, Mathematics, Biology, Biochemistry, Bioinformatics, Computational Biology, or a related field, and a strong background in algorithm development, statistics and programming, as well as a strong interest in applying machine learning and other computational approaches to address interesting biological problems. Candidates with experience in developing machine learning algorithms are especially encouraged to apply.

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Posted on June 15, 2018

Postdoctoral Fellowship - Plant Comparative Genomics/ Transcriptomics

The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.) A Ph.D. in Bioinformatics, Computational Biology, Quantitative Genetics, Population Genetics, Evolutionary biology or related discipline with prior experience analyzing genomics data is required. Candidates must have a strong foundation in R, python, perl, or another coding language, and experience using a computing cluster is highly desirable.

This position will study the genomic architecture of complex traits underlying divergent phenotypes in the crop species Sorghum bicolor. Seeking a candidate with bioinformatics experience to analyze existing genomics and transcriptomics data sets, as well as generate new datasets related to understanding the genetics of both adaptive and agronomically important traits.

The main goals of this research project are to: i) Explore the relationship between structural rearrangements in the genome and changes in gene expression that may relate to phenotypic differences; ii) Look for networks of co-expressed genes and their upstream regulators; iii) Perform comparative genomics among multiple varieties and species to search for parallel mechanisms under selection.

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Postdoctoral position in Bioinformatics

A postdoc position is currently available at the UCSF Benioff Children’s Hospital Oakland Research Institute (California) on a NIH-funded project entitled “Human pregnancy in health and disease”. The goal of this project is to examine the biology of human pregnancy in order to understand what biological changes occur in the mother’s blood during and after pregnancy – among both healthy women and women with an incurable autoimmune disease like rheumatoid arthritis, which improves naturally during pregnancy.

The research will involve bioinformatics and statistical analysis of gene expression data (RNA-seq data), with multiple data points from each woman before, during and after pregnancy, and integration with other levels of omics data. Qualifications: Applicants should have a Ph.D. in bioinformatics, computational biology, statistics or similar field, and must be proficient in statistical and scripting programming languages such as R. Prior experience in analyses of RNA-seq data and/or other omics data is a plus.

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Posted on June 13, 2018

Postdoc Fellow in Bioinformatics Single Cell

Postdoctoral positions in quantitative computer science, bioinformatics, computational biology and single-cell analysis are open in the Taylor research group at The Children’s Hospital of Philadelphia (CHOP) and the University of Pennsylvania (Penn).
Postdoctoral fellows in these positions will help lead the development of single-cell analysis methods towards understanding metabolism and disease and also take part in projects featuring massively parallel data from eukaryotic and prokaryotic systems. Candidates must have a terminal degree (PhD) with a focus in a quantitative science, with strong computational experience, ideally with some biology training. Strong skills in Python programming are highly preferred.

Preferred Education, Experience & Cert/Lic
PhD in relevant fields for computational biology, such as computational sciences, biophysics, statistics, mathematics, engineering, genomics/genetics, biology, or other quantitative fields.

Additional Technical Requirements
– Proficiency in R or similar commonly used statistical languages
– Basic proficiency with Python, Perl, or other languages

– UNIX/LINUX and high performance computing experience

– Values research integrity and collaborative research

– Strong research skills

– Effective problem solving/critical thinking skills

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Research Associate in Bioinformatics
Professor Rivolta’s laboratory is seeking two highly-motivated Postdoctoral Research Associates with interests in human or medical genetics. In position one research will focus on the identification of novel disease genes, via the analysis of large sets of genetic data from patients with monogenic diseases, and/or of driver mutations in tumours, via the analysis of germline vs. somatic genotypes.

Position two will focus on the functional characterization of DNA/protein variants detected in patients with hereditary conditions or with cancer.
The successful candidates will have a background in molecular biology, molecular genetics, computer sciences, or a related field and for post two you will need experience in bioinformatics, allowing you to process data from Next-Generation Sequencing experiments.

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Posted on June 11, 2018

Postdoc in bioinformatics for Precision Medicine

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.
Qualifications: The successful applicant is expected to have a doctoral degree in the fields of bioinformatics, biostatistics, computational biology or systems biology. The applicant should be self-driven and possess excellent interpersonal and communication skills in spoken and written English to match our dynamic, international, multidisciplinary and collaborative team.
Desired qualification and experience
• PhD in the fields of Bioinformatics, Biostatistics, Computational Biology, Systems Biology
• Strong data analysis skills and experience with multi-omics datasets (transcriptomics, proteomics, genomics, epigenomics, metabolomics), and expertise in relevant bioinformatics data analysis pipelines
• Experience in working in a Linux environment and knowledge of R and Python are required.
• Experience with statistical methods
Last application date 01.Jul.2018

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Senior Bioinformatician

As a not-for-profit organization, Partners HealthCare is committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. Founded by Brigham and Women’s Hospital and Massachusetts General Hospital, Partners HealthCare supports a complete continuum of care including community and specialty hospitals, a managed care organization, a physician network, community health centers, home care and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and our system is a national leader in biomedical research.
We are seeking a senior bioinformatician to focus on continuously advancing the state of the art of research and clinical genetic testing. This position offers an opportunity to become a part of a highly engaged team of 10 individuals that all share the same passion for translational informatics. The position involves multiple interactions across the center, including with our highly innovative IT team. Duties include building robust scalable pipelines and data mining tools for sequencing applications, as well as providing informatics support for the development of clinical diagnostic assays. Applicant will also support many of the large-scale and collaborative grant-funded activities at the center.
Qualifications
• Advanced degree (PhD or equivalent) in bioinformatics or related field preferred (computer science, computational biology, etc). MS degree may be considered depending on level of relevant experience
• At least 3 years of coding experience with Python (preferred) or Perl in a UNIX/Linux environment
• Proficiency in shell scripting and in submitting jobs in a HPC environment
• Experience with creating and managing databases
• Experience with common bioinformatics databases and genome browsers
• Understanding and usage of biostatistics and bioinformatics tools, including common NGS tools (e.g. BWA, samtools, Picard, GATK) and statistical/visualization packages (e.g. R, Bioperl, MATLAB)

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Posted on June 08, 2018

Postdoctoral Fellow in Bioinformatics

UCSF Benioff Children’s Hospital Oakland is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. UCSF Benioff Children’s Hospital Oakland seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.
A postdoctoral position is available on an ongoing project to study gene expression before, during and after pregnancy among healthy women and women with rheumatoid arthritis (RA). We are interested in understanding what biological changes may be involved in inducing a natural improvement of an incurable systemic disease like RA during pregnancy and what potential mechanisms of transcriptional control could be regulating these changes. This highly interdisciplinary research involves using state-of-the-art genomic (RNA-seq, ChIP-seq), bioinformatics and statistical modelling approaches.
Position Qualifications: Applicant must have a Ph.D. in Bioinformatics or a related field, with experience in analyses of RNA-seq data. * Experience with statistical models is required. * The applicant must be proficient in statistical and scripting programming language such as R.


Bioinformatician / Senior Research Associate, Pathology
The Bioinformatician works with internal and external collaborators to analyze and interpret high-throughput experiments including microarrays, mRNA-seq, microRNA-seq, DNA-seq and functional validation experiments. The Bioinformaticians responsibilities will include statistical design of experiments, analysis and reporting, and assembly of figures for manuscript preparation.
QUALIFICATIONS
Experience: 3 to 5 years of related experience post-graduation required
Education/Licensing: Ph.D. in Bioinformatics/Statistics/Math or related field
REQUIRED KNOWLEDGE, SKILLS and ABILITIES
1. Work experience in at least one scripting language such as R or Python.
2. Work experience with Linux, shell scripting and HPC environment.
3. Previous experience in the field of immunology is a plus.
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Posted on June 06, 2018
Bioinformatics Scientist
The Children’s Hospital of Philadelphia Research Institute is an interdisciplinary institution dedicated to conducting basic, clinical and translational research on conditions and diseases that affect children, and is part of The Children’s Hospital of Philadelphia and University of Pennsylvania research community.
The Bioinformatics Scientist position is in the laboratory of Dr. Dimitri Monos, Director of the Immunogenetics Laboratory in the Division of Genomic Diagnostics of the Department of Pathology and Laboratory Medicine. The lab’s research focuses on the role of Histocompatibility (HLA) molecules and of the Major Histocompatibility Complex (MHC) in autoimmunity and transplantation.
EDUCATION, SKILLS AND ABILITIES:
o Ph.D. in bioinformatics, computational biology, computer science, mathematics, engineering or related discipline; or MS with at least three years of related experience
o Experience with experimental design, analysis, and interpretation of large multivariate datasets generated from a variety of platforms, such as SNP microarray, expression microarray, NGS, and single molecule sequencing platforms (PacBIO and Oxford Nanopore MinION)
o Demonstrated skills utilizing bioinformatics algorithms, tools and resources, e.g. sequence retrieval, alignment and clustering techniques, expression profiling and protein related analysis, using major databases and data standards in the field.
o Ability to design, develop, validate and maintain computational tools and algorithms for the analysis and interpretation of NGS data
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Computational Scientist
We are looking for exceptional candidates to join our computational biology team. Our mission is to develop diagnostics, and therapeutics for a wide range of disease states associated with changes to the microbiome, such as Inflammatory Bowel Disease, Autism, and Type 2 Diabetes, and to understand the links between the microbiome and health. Directed by Ramnik Xavier (Broad and MGH) and Eric Alm (Broad and MIT), the Center for Microbiome Informatics and Therapeutics has forged strong partnerships with researchers at the Broad Institute, MIT, Harvard, and Yale and clinicians at local hospitals including Massachusetts General Hospital, Boston Children’s Hospital, and Beth Israel Deaconess to become a hub for translational microbiome research in the Boston area.
Successful candidates will maintain portfolios of diverse projects, that primarily are collaborations with these research faculty and clinical partners. There is also opportunity for independently conceived investigations. The breadth of projects supported by the Center will require a flexible thinker, and eager learner who is willing to conceive and develop algorithms and analysis approaches to solve the challenges posed by each study.
Requirements:
• Ph.D. in Computer Science, Bioinformatics, Mathematics, Statistics or another relevant field
• Experience with analyzing complex datasets
• Familiarity with, or strong desire to learn about next-generation sequencing data analysis tools
• Comfortable applying relevant statistical methods
• Fluency in Unix, standard bioinformatics tools and programming languages (primarily Python)
• Outstanding verbal and written English communication abilities
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Posted on June 04, 2018
Postdoctoral Fellow in Pharmacogenomics
A postdoctoral position is available in the laboratory of Dr. Paul Burridge in the Department of Pharmacology and the Center for Pharmacogenomics at Northwestern University Feinberg School of Medicine, Chicago, IL. Successful candidates will be involved in human induced pluripotent stem cell studies to interrogate how the genome can be used to predict drug efficacy, minimize toxicity, and discover new drugs.
Projects combine patient recruitment, WGS, hiPSC models, RNA-seq, differential expression quantitative trait loci (deQTL) mapping, SNP validation, CRISPR/Cas9-mediated genome editing, and high-throughput drug discovery. Major projects available include: 1, Genomics and hiPSC models of chemotherapy-induced toxicity. 2, hiPSC models of breast cancer progression and acquisition of resistance. 3, Genomics of heart failure and cardiomyopathy drug efficacy. 4, Cardiac regenerative medicine including direct reprogramming.
Qualifications: Recent (within the last year) or upcoming PhD or PharmD degree and a strong record of peer-reviewed publications, including first-author, is essential.
Desirable expertise includes: hiPSC differentiation and/or direct reprogramming methodologies and disease modeling (cardiac, skeletal muscle, endothelial, fibroblast, blood, hepatocyte, renal, neural, cancer cell types, breast epithelial); experience in pharmacogenomics and bioinformatics using next-generation sequencing data types (WGS and RNA-seq); chemotherapy drug response/toxicity mechanisms and GWAS; high-throughput biology and drug screening.
Closing date July 27th, 2018
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Postdoc in Bioinformatics / Tumor immunology
This is a temporary position for a year with possible extension (start: 1 July 2018). The 30% reimbursement ruling (better known as the 30% ruling) is a tax advantage for highly skilled migrants moving to the Netherlands for a specific employment role. You will be working in an international environment in the laboratory of Jürgen Kuball (Department of Hematology and Laboratory of Translational Immunology) at the UMC Utrecht, as part of a highly innovative and motivated team with strong collaborations worldwide.
You will analyze NGS and RNAseq data from patient material and dissect signatures of inflammation and anti-leukemia responses by computational analyses. You will also build databases incorporating extensive clinical and laboratory data, allowing flexible and web-based statistical analyses; create data links between dedicated analysis programs and the central database; write algorithms describing recognition of specific epitopes of proteins; and perform advanced statistical analysis aimed at better understanding ongoing immune responses in patients after ASCT as well as improving current therapy.
You have an outstanding track record and the ability to apply techniques to solve “big data” problems. International experience and fluency in English are mandatory, as are knowledge of computational analysis.
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Posted on June 01, 2018
Postdoctoral Fellow in Cardiovascular Genomics and Biomedical Informatics
The laboratories of Dr. Pradeep Natarajan at the Massachusetts General Hospital/Harvard Cardiovascular Research Center (CVRC) and Center for Genomic Medicine (CGM) and Broad Institute of Harvard & MIT, and Dr. Christopher O’Donnell at the Boston Veterans Affairs Medical Center/Harvard Center for Population Genetics have a unique postdoctoral position immediately open for a highly qualified applicant interested in investigating the genetics and biology of atherosclerotic cardiovascular disease using human genetics across diverse epidemiological cohorts and hospital-based biobanks.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
• Implement quality control, genotype-phenotype association, and fine mapping analyses for genome-wide arrays, whole exome sequencing, and whole genome sequencing studies.
• Integrate data from publicly-available datasets to bioinformatically test biological hypothesis.
• Develop novel integrative genomics analyses from orthogonal dense clinical and biochemical phenotypes.
• Analyses of retrospective and prospective longitudinal data for risk prediction modeling.
• Extraction and modeling of phenotypes using conventional and machine learning algorithms.
Qualifications  EDUCATION
PhD in computational biology, biomedical informatics, biostatistics, statistical genetics, genetic epidemiology, or computer science.
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Computational Biologist
The Computational Biologist, working with limited supervision and reporting to the Director of the Single Cell Biology Laboratory, will participate in the collaborative single cell biology program aligned with institutional strategy and direction and make leading contributions to the cutting-edge projects at The Jackson Laboratory. They will be tightly integrated with the wet lab biologists within the Single Cell Biology Laboratory and have direct access to, and guidance from, the JAX Computational Sciences team. The successful candidate will be intimately involved in all single cell projects initiated by JAX faculty and other divisions across the JAX organization in addition to collaborating with clinical and industry partners.
Key Responsibilities:
• Design, develop and operate computational pipelines for analysis of high throughput single cell data.
• Provide computational support for all single cell biology projects.
• Participate in data processing, programming and algorithm development.
• Participate in evaluation of new technology platforms, assays and software.
Requirements:
• Ph.D. or MS in a relevant discipline with 2+ years’ experience in Bioinformatics or Computational Biology. Exceptional candidates may be considered without experience.
• Some knowledge of mammalian biology, preferable through wet bench experience.
• Aptitude to work in a team environment.
• Programming experience in Python and R, with additional experience in Java, C/C++, and Perl and asset.
• Proficiency in UNIX scripting and various bioinformatics tools and databases.
Tracking Code:     7458
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Posted on May 30, 2018
Post Doctoral Fellowship in Computational Oncology
We are seeking highly motivated postdoctoral fellows to join Dr. Sohrab Shah’s new laboratory at Memorial Sloan Kettering Cancer Center in New York. We are establishing a significant new initiative in the field of Computational Oncology motivated by new advances in machine learning and AI tools, ultra-high resolution measurement technologies and massive high dimensional datasets available at MSKCC. Trainees in this new endeavor will help define the future of computing as it relates to understanding cancer and advancing cancer care.
We are seeking early career scientists with research expertise and interest in computational biology and bioinformatics to lead projects in cancer evolution, single cell genomics, mutational processes and timeseries analysis of drug response.
Applicants should have an interest in algorithms, mathematical and statistical modeling, Bayesian statistics and/or artificial intelligence applied to cancer focused problems. Applicants must possess a PhD in relevant discipline such as computer science, statistics, data science, bioinformatics and computational biology and have a demonstrated publication track record. Candidates seeking an academic or industry career are encouraged to apply. A background in cancer biology especially in ovarian or breast cancer would be considered an asset.
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Postdoctoral Fellow in Genomics
The Icahn Institute for Genomics & Multiscale Biology is a leader in basic and translational genomic and computational biology research. The institute’s multidisciplinary researchers bring state-of-the-art genomic technologies together with advanced computational analyses to discover new disease mechanisms, develop new diagnostics, and identify new drug targets. The institute is a highly collaborative and interdisciplinary environment.
Despite the explosion of experimental data, we do not understand the details of how phenotype arises from genotype and the environment. We are developing whole-cell computational models which comprehensively predict how cell behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. For example, we believe that whole-cell models could enable bioengineers to design microbial genomes for a variety of industrial applications, as well as enable physicians to tailor medical therapy to individual patients. Our research is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
Desired skills/experience
Whole-cell modeling is a highly interdisciplinary problem. Consequently, we’re looking for team members with a broad range of skills and experience. The ideal candidate has the following skills. Applicants with related experience are also encouraged to apply.
• PhD in computer science, applied math, or a related field;
• Strong experience in modeling, software engineering, and/or visualization;
• Deep commitment to innovation and desire to tackle the most challenging problems;
• Abilities to solve challenging problems by thinking creatively, integrating diverse concepts, and pushing through barriers;
• Passion for transforming bioengineering and medicine;
• Excellent oral and written communication skills; and
• Abilities to work independently and within a team.
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Posted on May 28, 2018
Bioinformatics postdoc positions at the Novo Nordisk Foundation Center for Protein Research
Postdoc positions are available in the Cellular Network Biology group at The Novo Nordisk Foundation Center for Protein Research (CPR – www.cpr.ku.dk). The Center has been established at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance. The Center comprises a wide range of expertise and resources including proteomics, protein production, bioinformatics, and general characterization of disease mechanisms.
Qualifications
Candidates for the postdoctoral positions must hold a PhD degree (or equivalent) within a relevant discipline and have experience with large-scale data analysis and programming in languages such as Python or R. The successful candidates will have strong qualifications or experience within several of the following areas:
• Bioinformatics / computational biology
• Statistical data analysis and integration
• Machine learning / artificial intelligence
• Mass spectrometry / proteomics
• Network analysis
• Automatic text mining
Deadline for application: June 1, 2018
For detail click here

BIOINFORMATICS SPECIALIST
The University Of Washington Department Of Pathology is a dynamic organization, one of the best in the country that has had a consistent level of high achievement in all of its activities. The Department offers full diagnostic service in all areas of pathology and is one of the top ranked Departments of Pathology as a recipient of research grant funding National Institutes of Health. Our educational and training programs include the Pathology Residency Training Program, the Molecular Medicine and Mechanisms of Disease Ph.D. and the teaching of medical students, postdoctoral research fellows and clinical fellows.
• Minimum Requirements:
• Bachelor’s Degree in biology, physiology, biochemistry, chemistry, biomedical engineering, chemical engineering or Computer Science AND 2+ year’s minimum experience in a clinical or research information technology setting
• Strong analysis of next generation DNA sequencing data experience
• Software development experience
• Experience with web application software development (exome, genome, transcriptome and methylation)
• Experience with relational database programming and design, database administration, Clinical data to healthcare professional
• Strong problem-solving skills; must be able to think creatively and independently
• Comprehensive knowledge of molecular biology, genetics, and/or chemistry
• Desired:

• PhD  AND 3+ years minimum experience in a clinical or research information technology setting
• Significant experience in clinical or biomedical research environment with data modeling, application design, and relational database development.
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Posted on May 25, 2018
Postdoctoral Scholar in Bioinformatics
The Four Diamonds Pediatric Cancer Research Center and Dr. Zhenqiu Liu’s laboratory are seeking a highly motivated postdoctoral scholar in bioinformatics and computational biology at the Department of Public Health Sciences, Penn State College of Medicine. Under the supervision of the Principal Investigator, the postdoctoral scholar will develop machine learning and statistical algorithms to leverage multi-omics data from public resources including TCGA, TARGET, COSMIC, ENCODE, and GTEX. The selected candidate will also have opportunities to collaborate with prominent principal investigators at the Four Diamonds Pediatric Cancer Research Center, explore biological mechanisms of carcinogenesis, and identify potential targets for experimental therapeutics.
The successful candidate should have strong computational and analytical skills. He or she is expected to lead multiple research projects, develop and adapt software pipelines, perform data analysis, and write manuscripts. A PhD in bioinformatics, computational biology, computer science, statistics/biostatics, or applied math with strong programing skills in Perl, python, C++, JAVA, R, and/or MATLAB is required. Experience with CRISPR-Cas9, ChIPseq, and single cell RNA-seq data are recommended, but not required.
Experience in multi-omics data integration and hierarchical modeling in pediatric oncology is a plus. This position is initially funded for three years, with performance reviews held annually and will have the opportunity to interact with bioinformatics faculties and postdoctoral fellows on campus, including those in the Department of Public Health Sciences, Institute of Personalized Medicine, and the Department of Biochemistry & Molecular biology. The Penn State College of Medicine is located in Hershey, Pennsylvania, a family-oriented community with top-ranked schools and convenient access to New York City, Philadelphia, Baltimore, and Washington D.C. Interested candidates should upload a copy of their CV, a brief statement of research interests, and contact information for three references.
For detail click here

Postdoctoral Associate (Functional Genetics of Cancer)
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.
Our group is interested in the functional genetics of cancer. We use state of the art technology in genomics, proteomics and epigenetics to understand the molecular mechanisms that drive cancer progression, metastasis and chemoresistance. We are recruiting a postdoctoral fellow to work on understanding the functional consequences of combinations of mutations that contribute to tumorigenesis.
Required Experience /Education and/or Experience:
You hold a PhD degree or equivalent in bioinformatics, statistics, computational biology, or related discipline of biomedical research. Experience in computational and statistical genetics, genomics and knowledge of R and PERL and their application in cancer research is mandatory. The successful candidate will have strong qualifications or experience within several of the following areas:
• Bioinformatics and systems biology at the molecular level
• Cancer pathophysiology and RNA biology of Cancer.
• Project management of interdisciplinary research projects within genomics and bioinformatics (Genomics, Non-coding RNAs, Proteomics and Chromatin Biology)
• Experience with data structures, databases, and data architectures (TCGA, SU2C etc)
• Knowledge of biomedical resources and infrastructures
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Posted on May 23, 2018
Postdoctoral Fellow in medical imaging and machine learning
At the Faculty of Medicine, Department of Biomedicine, a full-time (100%) position as Postdoctoral Fellow is available for a period of three (3) years.     The position is part of the project “Computational medical imaging and machine learning – methods, infrastructure and applications”, at the newly established Mohn Medical Imaging and Visualization Center (MMIV), Department of Radiology, Haukeland University Hospital (https://mmiv.no), and is funded by the Bergen Research Foundation.
To successfully incorporate machine learning in medicine, doctors and medical specialists have to take a leading role. Our project, initiated from the Department of Biomedicine at UiB and the Department of Computing, Mathematics and Physics at HVL, is therefore tightly connected with departments at the hospital where data is collected and decisions are made.
Qualifications and qualities
We seek highly motivated individuals with experience applying machine learning to medical images.
• The candidate must hold a PhD-degree within the field of in medical/biomedical sciences or natural sciences on topics related to statistics, machine learning, computational medicine, bioinformatics or similar, or have submitted their doctoral dissertation for evaluation within the closing date of the application. It is a condition for appointment that the dissertation is approved
• Very good programming skills is a requirement. You are encouraged to include a link to your GitHub profile or similar documentation of programming competence in your application
• Candidates who have experience in both machine learning (incl. deep 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 Sunday, June 10, 2018
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Single Cell Bioinformatics Specialist
The VIB-KU Leuven Center for Brain & Disease Research is located in Leuven, Belgium, and part of VIB and the University of Leuven (KU Leuven). With more than 300 people working in 17 labs, we study the brain in health and disease. Our research focuses on disorders such as Alzheimer’s, Parkinson’s, frontotemporal dementia and amyotrophic lateral sclerosis (ALS), but also basic research questions relating the cellular heterogeneity of the brain, brain wiring and synapse biology. These studies are integrated with immunology and studies on protein aggregation and amyloid toxicity.
Essential:
• MSc or PhD degree in Bioinformatics, Engineering, Life sciences or computational field
• Experience with the analysis of high-throughput data, including transcriptomics, genomics, and single-cell RNA-seq data is required
• Solid experience with Linux, software development, database management, statistics, Python and R
• Thorough understanding of molecular and developmental biology, and of disease biology (preferably in neurological disorders)
Desirable but not required:
• Knowledge of machine learning is a plus
For detail click here

Posted on May 21, 2018
Research Scientist – Bioinformatics & Comp Biology
Computational analysis of multi-omics data for drug target detection. Discovery of novel drug combinations. Preparation of original research manuscripts. Assisting other members of the laboratory in their scientific projects. Assisting the PI in preperation of grant applications and manuscripts.
JOB SPECIFIC COMPETENCIES
Computational analysis The scientist will analyze multi-omics data sets to discover novel drug targets and deliver results rourinely to PI.
Programming skills The candidate will prepare original scientific programs and deposit to private and public source code repositories with PI’s supervision.
Scientific manuscript writing   The candidate will write and publish original scientific articles.
EDUCATION:
Required: PhD in one of the natural sciences or related field or Medical degree
EXPERIENCE:
Required: With PhD, no experience required. With Medical degree, two years of experience in experimental or scientific work.
For detail click here

Postdoctoral Researcher  in Barley Functional Genomics
The research group  Genomics of Genetic  Resources (GGR)  is seeking  a highly motivated postdoc to participate in a 3  year international collaborative project (IPK Gatersleben, University of Dundee, University of Minnesota / St. Paul) on  barley functional genomics. Based on quantitative transcriptomics and GWAS in a barley diversity collection,  we aim at  elucidating regulatory gene networks involved  in  regulating yield related traits. The w ork builds on cutting edge genomic  resources that were in t he focus of the research group GGR for the past 10  years .
Your qualifications and skills:
• You have a PhD or equivalent degree in  biology, agriculture or any related field.
• You have a s trong background in cereal  genetics and genomics .
• You have extensive experience in RNAseq  wetlab  experiments and data analysis.
• You possess advanced knowl edge in statistics.
• You are well acquainted with the use of R  software or equivalent.
• You possess solid English skills
Your tasks:
• You will execute g ene expression analysis by  RNAseq in 2 (of 6) tissues in  approximately  200  genotypes .
• You will be involved  in phenotyping of seed,  inflorescence and/or tiller traits.
• You will perform genome-wide association  studies ( GWAS ) and gene network co- expression analysis .
For detail click here

Posted on May 18, 2018
Post Doctoral Fellowship in Computational Oncology
We are seeking highly motivated postdoctoral fellows to join Dr. Sohrab Shah’s new laboratory at Memorial Sloan Kettering Cancer Center in New York. We are establishing a significant new initiative in the field of Computational Oncology motivated by new advances in machine learning and AI tools, ultra-high resolution measurement technologies and massive high dimensional datasets available at MSKCC. Trainees in this new endeavor will help define the future of computing as it relates to understanding cancer and advancing cancer care.
We are seeking early career scientists with research expertise and interest in computational biology and bioinformatics to lead projects in cancer evolution, single cell genomics, mutational processes and timeseries analysis of drug response. Applicants should have an interest in algorithms, mathematical and statistical modeling, Bayesian statistics and/or artificial intelligence applied to cancer focused problems. Applicants must possess a PhD in relevant discipline such as computer science, statistics, data science, bioinformatics and computational biology and have a demonstrated publication track record. Candidates seeking an academic or industry career are encouraged to apply. A background in cancer biology especially in ovarian or breast cancer would be considered an asset.
For detail click here

Postdoctoral positions for Translational Bioinformatics
Two postdoctoral positions are available at Wang Laboratory of the UPMC Hillman Cancer Center, University of Pittsburgh. The individuals will be working on integrative computational genomics initiatives aimed at identifying pathological genetic aberrations, predictive biomarkers, and therapeutic targets from cancer genomics datasets, as well as developing novel bioinformatics tools and models to predict therapeutic responses of targeted therapies and immunotherapies.
The candidates will receive multidisciplinary training on computational genomics, molecular cancer biology, and translational research. The candidate must hold a Ph.D. degree in the Biomedical Sciences. Preference will be given to highly motivated candidates with an outstanding publication record in cancer research, and those with established expertise in bioinformatics or molecular cancer biology. The candidates may choose to work on translational bioinformatics, or molecular cancer biology, or both.
To apply, please send your CV, cover letter, and the contact information of 3 referees to:  Xiaosong Wang, M.D., Ph.D.  Associate Professor of Pathology and Biomedical Informatics  UPMC Hillman Cancer Center  Email: wangx13@pitt.edu
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Posted on May 16, 2018
Postdoc Fellow Bioinformatics Single Cell
Single-cell research is quickly becoming the next massively parallel research frontier in basic and translational biology. Many opportunities for groundbreaking research  can be found in computational analysis, methodological development and cross-platform integration of this data.  The Taylor research group in CHOP’s Department of Biomedical and Health Informatics (DBHI) is hiring for a postdoctoral position in computational biology and single-cell analysis. This position will have the opportunity to work with members of the group in method development and analysis of single-cell data  and other massively parallel data projects in eukaryotic and prokaryotic systems.
Postdoctoral fellows at CHOP receive mentored translational science and bioinformatics training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities,  as well as exposure to  several large multi-institutional collaborations. Postdoctoral fellows training in DBHI will serve to extend, refine and enhance skills necessary for professional and career development in translational bioinformatics research, and will enable the individual to broaden his/her scientific background by acquiring new research capabilities.
Preferred Education, Experience
PhD in relevant fields for computational biology, such as computational sciences, biophysics, statistics, mathematics, engineering, genomics/genetics, biology, or other quantitative fields.
Additional Technical Requirements
– Proficiency in R or similar commonly used statistical languages
– Basic proficiency with Python, Perl, or other languages
– UNIX/LINUX and high performance computing experience
– Values research integrity and collaborative research
Job Description  Req ID: 18485
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Research Fellow – Computational Biology and Bioinformatics
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.
Qualified candidates 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. 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.
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Posted on May 14, 2018
Postdoctoral researcher in Computational statistical genetics
The labs of Rasmus Nielsen (Statistics and Evolutionary Genomics, UC Berkeley) and Bryan Greenhouse (HIV, Infectious Diseases, and Global Medicine, UC San Francisco; Chan Zuckerberg Biohub) are seeking a talented scientist to hack disease transmission networks primarily focusing on malaria. This is an exciting opportunity for a postdoctoral researcher to take the lead on designing and implementing novel mathematical and statistical models to synthesize genetic and epidemiologic data.
Essential Skills
• PhD in a relevant field (e.g. statistics, biostatistics, computational biology, computer science, applied mathematics, physics)
• Strong statistical and computational skills
• Expertise in graphical models, Bayesian networks, dynamic programming, MCMC, or similar
• Programming experience in C, C++, or similar programming languages
Helpful Skills
• Background or interest in basic biology, genetics, ecology, phylogenetics, and/or epidemiology
• Experience in analysis/modeling of pathogen dynamics, phylogenetics, spatial models, or phylogeography
• Software development
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Research Fellow – Center for Individualized Medicine
The Microbiome Systems Medicine Group at Mayo Clinic (Rochester, MN, USA), led by Dr. Jaeyun Sung, invites applications for postdoctoral positions in computational & systems biology. This position has been created, in part, to increase our computational capacity to systematically analyze, integrate, and model the tremendous amount of longitudinal, multi-omics data currently being generated at Mayo Clinic. These data sources include genomes, proteomes, metabolomes, microbiomes, and clinical and physiological surveys. Our overall aim with these data is to further understand the complex interactions between commensal gut microbial organisms and human health.
Qualifications: The applicant must have a Ph.D. in one of the following fields: computational biology, biostatistics, bioinformatics, biophysics, human nutrition, or any engineering/science discipline. Ph.D. candidates with soon anticipated graduation are also encouraged to apply. Excellent written and verbal communication skills, strong ability to independently and creatively solve research problems, while working effectively with the principal investigator and lab colleagues, is a must. Prior experience working with multi-/meta-’omics analysis, systems biology, machine-learning, metabolic modeling, or network science, as demonstrated through past research accomplishments, would be ideal.
If you are interested in joining, please email Dr. Jaeyun Sung (Sung.Jaeyun@mayo.edu) your CV, contact information of three individuals who can provide strong reference letters, PDFs of your representative publications, and a <1-page personal statement describing: your general research interests, previous experience, and career goals.
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Posted on May 11, 2018
Postdoc in Computational Biology
The laboratory is located in beautiful La Jolla, California. We are part of the Scripps Research Institute at the Department of Immunology and Microbiology, as well as the Department of Integrative Structural and Computational Biology. We are also affiliated with the Scripps Translational Science Institute, The Center for Viral Systems Biology, The Viral Hemorrhagic Fever Consortium and The Viral Hemorrhagic Fever Immunotherapeutic Consortium.
We are looking for a computational postdoc to lead new projects developing and using data mining, machine learning and Bayesian phylodynamic approaches to investigate the spread and evolution of emerging viruses, including Lassa and Ebola. This position is part of a larger initiate with the recently established Center for Viral Systems Biology.
Requirements include:
• Ph.D. in computational biology, computer science, mathematics, physics, or equivalent.
• Programming skills in two or more languages (C++/Java/Python/R/MATLAB).
• Experience with data mining and machine learning is highly desired.
• Data visualization in Python/R/d3js is a plus.
• Experience with HPC preferred.
• Deep knowledge of Bayesian statistics, in particular Bayesian phylogenetics is a big plus.
• Strong interpersonal skills and the ability to work with and mentor junior scientists and students.
Interested candidates should submit their CV with links to code repositories (Github/Bitbucket) or online demos and cover letter to jobs@andersen-lab.com. Please have at least three referees email their references directly to references@andersen-lab.com.
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Postdoctoral position Computational biology
The Sweet-Cordero laboratory at the University of California San Francisco is seeking a post-doctoral fellow to be involved in research using computational tools to study the genomic and epigenetic basis of pediatric cancer.  Our laboratory uses a variety of high throughput sequencing technologies including whole genome sequencing (WGS) and RNAseq to perform integrative studies of advanced pediatric cancer to address both clinical and basic discovery questions.
Job Requirements:
• A strong background in the area of bioinformatics and/or biostatistics. A PhD degree in Life Sciences, Bioinformatics, Computer Science or a related field.
• Experience with and comfort working within a UNIX/Linux environment, including experience with high performance computing clusters and/or cloud computing.
• Experience with relational database management systems (PostgreSQL, MySQL or similar software)
• Programming skills in one or more languages, such as: Python, R, shell scripting, Java, Go, C++, etc.
• Previous experience with analysis of next-generation sequencing of DNA and/or RNA.
• Demonstrated ability to work with biologists to apply computational approaches to their experiments as well as the ability to help them develop their own bioinformatics skills.
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Posted on May 09, 2018
Post-doctoral Researcher in Computational Biology and Medicine
We are seeking a highly motivated junior-level postdoctoral researcher to join the Voice Research Laboratory, Faculty of Medicine at McGill University in Canada. This appointment is expected to begin in September 2018 (start date negotiable). It is a 3-year position with possibility of extension.  The Voice Research Laboratory focuses on advancing personalized medicine in laryngologythrough the development of numerical simulations, wearable devices, non-invasive diagnostics and tissue engineering products.
The successful applicant will work on highly interdisciplinary research projects in computational biology and translational research. The primary duty of this position is to further develop existing agent-based models for vocal fold biomaterial design and tissue reconstruction. Additional training on wet lab skills, advance microscopy and tissue mechanics are available if the applicant is interested in. The ultimate goal is to develop a multiscale computing platform that will allow systematic investigation of how individual parameters of biomaterials affect the property and behavior of bioengineered vocal folds across microscopic (cell activity), mesoscopic (ECM microstructure) and macroscopic levels (tissue mechanics).
A Ph.D. or equivalent degree in computational biology, biomedical engineering, or related quantitative scientific discipline is required by the time the appointment begins.  The applicant should have expertise and experience in multiscale computational modeling and analysis of biological systems. Skills in numerical simulations, e.g., development of agent-based models using C/C++ and/ or Matlab/Mathematica, experience in sensitivity analysis, model calibration and verification, as well as implementation of mathematical descriptions of physical biological processes are required. Applicants with advanced computational training as well as knowledge of cellular biology and tissue biomechanics are preferred.
Candidates are encouraged to apply by May 3 1, 201 8 . Applications will be reviewed until the position is  filled. Please send the application to Dr. Nicole  Li – Jessen  nicole.li@mcgill.ca .
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 Bioinformatics Programmer
The NYU Metabolomics Core Resource Laboratory is a new facility designed to offer cutting edge and custom metabolomics services to the Langone Medical Center campus. The core specializes in mass-spectrometry based metabolomics, offering both global untargeted and targeted methods for metabolite identification and quantification. The Bioinformatician will work on the continuing development of advanced software tools to analyze global LCMS data which makes complex metabolomic information useful to investigators. The Bioinformatician will also aid in the analysis of specific projects and datasets, working closely with other staff and clients of the NYU Metabolomics Core Resource Laboratory. All staff in the core will continue to develop their scientific knowledge through active participation in meetings, conferences, and relevant training.
Job Responsibilities:
• The Bioinformatician will also aid in the analysis of specific projects and datasets, working closely with other staff and clients of the NYU Metabolomics Core Resource Laboratory.
• Communication and Relationship to Other Staff
• Maintain confidentiality of all research information
• Communicate professionally and precisely with staff and clients
• Maintain a professional working relationship with all staff and clients
• Communicate ideas, problems, and suggestions in a timely and effective manner
Minimum Qualifications:
• To qualify you must have a M.S. or Ph.D. in a Life Sciences field, specializing in bioinformatics
• Expertise with Python and R
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Posted on May 07, 2018
Postdoctoral Fellow – Centre for Translational Cancer Research
This position is funded by Genomics Aotearoa, a national network working to improve capability in, and outcomes from, genomics in New Zealand.     You will be part of a nationally distributed team, working in the Centre for Translational Cancer Research within the Department of Biochemistry. We are a large research and teaching department with ~100 graduate students and ~110 administration, teaching and research staff.
The Role:
As a Postdoctoral Researcher in the Centre for Translational Cancer Research, you will:
• Perform analysis of cell-free DNA data derived from cancer patients.
• Establish a methodology for the incorporation of genomic information into clinical reporting systems.
• Establish procedures for the use of genomic data by oncologists for medical decision making.
Your Skills and Experience:
• A PhD degree in statistics, bioinformatics, molecular biology, genetics or similar subject.
• Extensive experience with the R language, and some familiarity with other programming languages.
• Familiarity with reproducible research concepts and methods, and experience working with version control systems.
• Good knowledge of genomics and molecular biology, and experience working with genomic data.
Applications quoting reference number 1800920 will close on Wednesday, 30 May 2018.
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Research Bioinformatician position focused on single cell analysis
Karolinska Institutet, Institutionen för medicin, Huddinge  The Department of Medicine, Huddinge conducts preclinical and clinical research in a variety of areas and undergraduate and graduate education. The department is internationally oriented and consists of seven units with about 40 teams.
We are looking for a talented and highly motived data scientist/bioinformatican to take the lead on the data analysis on joint projects in the Jacobsen (http://ki.se/en/medh/sten-eirik-w-jacobsen-group) and Woll (https://ki.se/en/medh/petter-woll-group) laboratories aiming to understand cellular and molecular pathways regulating normal and malignant hematopoiesis. Technological advances allow us to perform these studies down to the single cell level, generating large and complex genomic data sets which can be mined for novel and import insight to normal and malignant hematopoietic stem and progenitor cell biology.
Essential requirements
• Degree in computer science, bioinformatics or a scientific discipline
• Competency in programming languages using programs such as Python, Perl and R
• Ability to learn new programming language as required
• Ability to stay on top of the relevant research field
Desirable skills
• MSc or higher in computer science, bioinformatics, machine learning or related field
• Training in international leading laboratory
• Strong publication track record for stage of career
• Experience from hematopoiesis research
• Experience in molecular and/or cellular biology
• Experience in statistical analysis, analysis of complex data sets or developing analytical pipelines
• Familiarity with developing in a UNIX/Linux environment
Last application date     11.May.2018
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Posted on May 04, 2018
Research Fellow – Computational Biology and Bioinformatics
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.
Qualified candidates 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.  A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. 800146; J2WRTP.
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Postdoctoral Research Opportunity in Computational Biology and Bioinformatics
The Invasive Insect Biocontrol and Behavior Laboratory’s Computational Biology unit analyzes biological sequences associated with invasive insects and their associated pathogens. This postdoctoral research opportunity offers training for the incumbent to demonstrate and refine existing bioinformatics skills and to develop new capabilities and professional experience. The participant will be a motivated, adaptable and responsible bioinformatics practitioner with a genuine interest in tackling crucial challenges to modern agricultural production enterprises.
A postdoctoral research opportunity in in computational biology and bioinformatics is available with the the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Beltsville Agricultural Research Center (BARC), Invasive Insect Biocontrol and Behavior Laboratory (IIBBL) in Beltsville, Maryland.
To be eligible, applicants must have a Ph.D., in the last 5 years, in the area of bioinformatics, computational biology, biology, biochemistry, genetics, computer science, statistics and/or mathematics.
Preferred Skills: Proficiency working in a Linux command line environment, as well as scripting abilities in either Python or Perl, is highly desired. A working knowledge of common bioinformatics algorithms and associated software is also preferred. Familiarity with the R environment for statistical computing is a plus. Although not necessary, familiarity with declarative and functional programming paradigms, as well as associated languages (e.g., Prolog, Lisp and Haskell), is highly appreciated.
Preferred Experience: Experience will ideally be directly related to the position, and may include work performed in a bioinformatics research laboratory setting involving manipulation of large data sets (e.g., ETL operations and/or quality control manipulations of sequencer output); analysis of data and interpretation of information.
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Posted on May 02, 2018
Post-Doctoral Fellow in Host-Microbe Informatics
In GlaxoSmithKline R&D (http://www.gsk.com/research.html), computational biologists have a broad and essential role in drug discovery through the integrative analysis of internal and external biomedical data, combining strong computational skills with biological insight.  This Early Talent postdoctoral fellowship (3 year) with the Computational Biology Department involves working with multiple therapy area teams on the interactions between the microbiome, pathogens and human host immunity. The roles of both beneficial and pathogenic microbes on human host pathways are being increasingly linked to the occurrences of many chronic and infectious diseases. With the rapid expansion of genomics and drug screening platforms, there is a significant opportunity for data-mining these resources to identify novel human gene targets modulated by microbial metabolites and peptides for the treatment of infectious and inflammatory diseases.
The successful candidate will participate in multidisciplinary drug discovery teams by contributing novel genomics and chemistry analyses (chemogenomics) on human host-microbe interactions; provide expert knowledge to scientific teams; make presentations to internal and external scientific conferences and; be the lead author of manuscripts submitted to high impact, scientific peer-reviewed journals. This is an excellent opportunity for those interested in applying their chemoinformatics and bioinformatics skills to translational and transformative medicine projects in a large pharmaceutical R&D organization.
Basic Qualifications
• Recent PhD in bioinformatics / computational science / biomedical engineering/ biological sciences or equivalent research experience.
• Demonstrated skills to programmatically analyse complex biomedical and compound assay datasets.
• Experience in the analysis of microbiome and human genomic datasets especially from Next Generation DNA sequencing platforms.
• Demonstrated ability to use chemoinformatics approaches to solve problems in chemical biology, drug discovery or related fields.
• Expertise in computer languages such as Python, Perl, R Statistics and Java.
Requisition ID: WD165046
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Postdoctoral Research Associate – Research Biologist (Computational/  Bioinformatics)
The incumbent is primarily responsible for executing the development a “decision support tool” for farmers. This decision support tool is an integrated decision aid based upon years of cover crop research in multiple US regions and will require advanced understanding of farm inputs. The incumbent is responsible for working with the regional cover crop councils to compile existing cover crop data for meta-analysis, development of decision support tools, and coordination with web-app developers. The focus will be on cover crop seeding rate, economic, and nutrient and water management decision support tools. Incumbent working in a team setting will conduct assigned research, and prepare scientific reports and manuscripts.
Departmental Required Skills:
• PhD in Biological Sciences, Computer Sciences, or a related field.
• Professional knowledge of computational biology, bioinformatics, computer science, engineering, agronomy, or related field.
• Strong analytical skills, experience conducting meta-analysis, working with large data sets, and writing manuscripts.
• Must be comfortable working in diverse teams, have strong communication skills and organization.
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Posted on April 30, 2018
Postdoctoral position in Fungal/Plant genome analysis
A Postdoctoral Fellow position is available in the laboratory of Dr. Nicolas Corradi (https://corradilab.weebly.com/) at the University of Ottawa (ON, Canada). The position is initially available for one year, and is renewable for up to 3 years.  The position is partially funded by Mitacs (https://www.mitacs.ca/en). The successful applicant will spend most of his/her research time in the Corradi lab, and the PDF research is expected to improve knowledge of important bio-fertilizers and natural products using genome analyses. Throughout the research, the PDF will also acquire important professional skills in data management and participate in an industry-relevant R&D product with high translational potential through collaborations with the industry.
Projects:  The applicant is expected to work on these two projects in collaboration with PhD students.
1) Assembly, annotation and analysis of dikaryotic arbuscular mycorrhizal genomes:
2) Assembly, annotation and analysis of the Echinaea purpurea genome.
Applicants are expected to have strong background in “Genome Analysis”, and in handling large amounts of sequence data. Evidence of prior success with assembly of large and complex genomes using long-read technologies is desired. Past practical knowledge of Plant Genomics, or evidence of work on highly heterozygous diploid and /or polyploid organisms, will be seen as an asset for this position.
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Research Associate – Bioinformatics
We are seeking a highly motivated candidate with a background in Bioinformatics, Computer Science, Population Genetics, or Statistical Genetics for a post-doctoral position within an independent research group in the Center for Genes, Environment, and Health. The research in our laboratory focuses on translational genetic and genomic studies of complex lung diseases.
This position will be focused on the advanced bioinformatics and statistical analysis of Next-Generation sequencing data. In particular, the successful candidate will be involved in both large gene expression, eQTL, and single cell sequencing data analyses.  The successful candidate will be responsible for the programming, data processing, and statistical analysis of next generation sequencing, genetic, and other data generated by projects aimed at understanding the genetic and functional basis of complex lung diseases.
The ideal candidate will display:
• Proven experience using bioinformatics to analyze high-throughput genetic and genomic data
• General shell scripting knowledge and experience working in UNIX and LINUX environments, particularly with large text files and genomic information
• Experience working and programming in Windows and Linux environments
• Demonstrated knowledge and programming experience in VB, .NET, PERL, R, C++, and/or Java, and willing to pick up new programming languages as necessary
• Familiarity and working knowledge with standard bioinformatics tools, packages, algorithms, and databases
Job Reference #: 11259
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