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Opportunity: Computational Scientist -- Biostatistics & Statistical Genetics @ The Jackson Laboratory for Genomic Medicine -- Farmington, CT (US)
Submitted by Dawn Scott; posted on Monday, December 08, 2014
RESPONSIBILITIES
Position is immediately available for a senior level computational scientist in Biostatistics & Statistical Genetics to join our Computational Sciences – Statistics & Analytics (CS-SA) group at The Jackson Laboratory for Genomic Medicine, Farmington, CT. The position offers plenty of opportunity to make leading contributions to cutting edge research in disease biology and translational research in collaboration with the faculty and genetic resource scientists and clients of The Jackson Laboratory. Cross campus and industry collaborations are encouraged.
Computational Scientist will report to the Director of Jackson's Computational Sciences (CS) and have primary responsibility for providing statistical and analytical bioinformatics expertise and data interpretation to the scientific research programs at the Jackson Laboratory for Genomic Medicine in Farmington, CT and its collaborative programs. A Computational Scientist is expected to independently establish collaborations within The JAX, provide expert reasoning to the projects relevant to his disciplines, make leading contributions to the grant applications in collaboration with the researchers at The JAX.
REQUIREMENTS
- Have a Ph.D. in Biostatistics and Statistical Genetics
- Have a proven track record and enthusiasm for working in a dynamic high performance research team environment
- Demonstrate the aptitude and capacity for leading statistical genetics and biostatistics effort at the Computational Sciences and its collaborators
- Strong experience and publication record in Biostatistics and Statistical Genetics esp. in the field of clinical trials
- Be creative contributors 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.
Desired Experience:
The successful candidate will have PhD degree in Statistics, Biostatistics or Statistical Genetics. The candidates with proven track record of "omics" data analysis, independent collaborative work and leading contributions to a biological discipline would be preferred.
COMPENSATION
Depending on experience
HOW TO APPLY
Interested candidates may submit applications online (http://www.jax.org/compscijobs) that include CV, list of publications, brief statement of research interests along with a cover letter.
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