Jobs

Jobs in Bioinformatics, Genomics and Life Science

Job Alerts in this week (June , 2018)


Update 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.

For detail click here


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.

For detail click here


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

For detail click here


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.

For detail click here


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

For detail click here


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)

For detail click here


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.
For detail click here

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
For detail click here

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
For detail click here

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
For detail click here

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.
For detail click here

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.
For detail click here

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
For detail click here

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.
For detail click here

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.
For detail click here

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.
For detail click here

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
For detail click here

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
For detail click here

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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