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OVERVIEW

The Jackson Laboratory of Genomic Medicine, based in Farmington, CT is seeking computational scientists of all levels to join our Computational Sciences – Statistics & Analytics (CS-SA) group. These positions offer the opportunity to make leading contributions to cutting edge research in mouse genetics, disease biology, and translational research in collaboration with the faculty and genetic resource scientists and clients of The Jackson Laboratory (JAX). Cross campus and industry collaborations are encouraged.

These positions report to the Director of Jackson's Computational Sciences (CS) team and have primary responsibility for providing statistical and analytical bioinformatics expertise and interpretation to the scientific research programs at the Jackson Laboratory for Genomic Medicine in Farmington, CT and its collaborative programs.

Characteristic distinction from Assistant Computational Scientist to Associate Computational Scientist to Computational Scientist include increased ability to work independently, development of in-depth knowledge in selected biological disciplines to analyze and provide expert reasoning to the relevant projects. A Computational Scientist is expected to independently establish collaborations within JAX, providing expert reasoning to the projects relevant to his disciplines and make leading contributions to the grant applications in collaboration with JAX researchers.

RESPONSIBILITIES

The ideal candidate will:

Possess a Ph.D. in biostatistics, computer science, or bioinformatics
Have a proven track record and enthusiasm for working in a dynamic high performance research team environment
Demonstrate the aptitude and capacity for developing bioinformatics expertise in the niche areas of biological sciences and relevant translational research
Be a creative contributor eager to learn new technologies and science

Incumbents are required to live and work in Connecticut with periodic multi-day work visits to the Bar Harbor, Maine campus.

REQUIREMENTS

Desired Skills:

Experience in High Throughput Sequence (HTS) data analysis, microarray data analysis, experimental design, data integration, algorithm development, development of sequence analysis tools (bioinformatics programming), evaluation of analytical tools and technology, and delivering training to the research community.
Experience in statistical packages (e.g. R/SAS) and other commonly used software packages such as DAVID and IPA.
Experience in developing computational algorithms and systems to support genetics and genomics research.
Excellent communication skills including skills necessary to present at the conferences and workshops, write study designs and analytical methods.

Desired Experience:
The successful candidate will have a PhD degree in Statistics, Biostatistics, Computer Science or Bioinformatics. Bioinformatics expertise in niche areas of biomedical research such as cancer biology, stem cell biology and immunology would be a plus. Candidates with a proven track record of "omics" data analysis, independent collaborative work and leading contributions to a biological discipline are preferred.

HOW TO APPLY

All interested candidates may submit applications online to job requisition #3624 at http://www.jax.org/careers. Applications should include a Cover Letter, CV, list of publications and a brief statement of research interests.

POLICY

When candidates are otherwise equally qualified, JAX will give preference to the Connecticut resident. The Jackson Laboratory is an EOE/AA employer.

Discussion forums: Opportunity: Computational Scientists (#3624) @ The Jackson Laboratory for Genomic Medicine -- Farmington, CT (US)

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