Computational Scientist - Statistical Genetics


: $109,180.00 - $162,070.00 /year *

Employment Type

: Full-Time


: Electronics/Semiconductors

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Computational Sciences, the central computational biology R&D department at The Jackson Laboratory, is seeking a Computational Scientist who will participate in its collaborative computational biology program and make leading contributions to the cutting-edge projects in statistical/quantitative genetics and integrative genomic analysis at the interface of mammalian and human genetics at The Jackson Laboratory.The successful candidate is expected to independently establish collaborations within JAX and to provide leadership in grant applications as Co-I/multi-PI, or leadership towards a significant scientific program at JAX. The major areas of research at JAX include cancer biology, aging, addiction biology, immunology, metabolic disorders, neurobiology, and stem cell & developmental biology.

The preferred location of this role is Bar Harbor, ME, however the role can also be located in Farmington, CT.


* Computational Scientist carries out computational and/or biostatisical analysis of biomedical datasets starting from experimental design to the analysis of the dataset. Other responsibilities include algorithm implementation (as needed), expert reasoning and leadership of projects. Present the results both internally and external at conferences and workshops and contributes the preparation of manuscripts in a significant manner.
* Computational Scientist independently establishes collaborations within The Jackson Laboratory, provide expert reasoning to the projects relevant to the scientist's disciplines of research disciplines, lead or co-lead grant writing in collaboration with the researchers at JAX as demonstrated by role as PI and co-I in the grant applications. A scientist also demonstrates strong potential to carrying out the collaborative biostatistics/statistical genetics program independently
* Participate in departmental and project activities such as developing pipelines, participating in conducting courses and workshops at JAX, provide leading contributions to grant applications, mentoring/supervising students and scientists, participating in CS Helpdesk and presenting results and processes to JAX community and at conferences and workshops as assigned


* Minimum of five (5) years of experience in Bioinformatics research, excluding time spent to obtain PhD. Candidates with significant pre-doctoral experience in the relevant research area as a researcher and demonstrated research track record during the pre-doctoral period will also be considered.
* Ability to establish research and mentoring leadership in addition to co-lead obtaining grant funds
* Demonstrated experience managing projects and collaborations.
* Experience working within cross-species data analysis would be a plus
* Experience with \"omics\" data analysis and statistical genetics & Biostatistics

About Us

The Jackson Laboratory ( is a nonprofit biomedical research institute with over 1,800 employees across three campuses nationwide. Our mission is to discover precise genomic solutions for human disease, and to empower the global biomedical community in the shared quest to improve human health. JAX's research institute in Connecticut, The Jackson Laboratory for Genomic Medicine (JAX-GM), is transforming medicine by improving patient care, lowering costs, and increasing life span and health span. JAX-GM's research focuses on the complex genetic causes of disease, and on the development of genomic solutions tailored to each person's unique genetic makeup.

JAX-GM sits on a 17-acre site on the campus of the University of Connecticut Health Center. The 183,500-square-foot facility opened in the fall of 2014. Now, it houses over 300 biomedical researchers, technicians and support staff in state-of-the-art computing facilities and laboratories. Our employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients' lives.

JAX-GM resides in the scenic town of Farmington, in the state's capitol region. The Hartford region, which offers some of the best public schools in the country, is made up of both bigger cities and smaller, charming historic New England towns. JAX-GM is also geographically located within 2 hours of Boston and New York and is close to multiple transportation systems including bus lines, highways, railroads and international airports.

Our Values:

INTEGRITY - Courage and commitment to do what is rightPEOPLE - Inspiring our people to enhance the health of allONE TEAM - Unified by our promise to transform medicine and scienceEXCELLENCE - Achieving world-class resultsINNOVATION - Leading with discovery and creative solutionsSTEWARDSHIP - Caring for and enhancing the resources entrusted to us

What do we have to offer?

JAX offers a dynamic and supportive work environment, competitive salaries and a comprehensive benefits package including a medical plan, outstanding retirement plan, generous paid time off and tuition reimbursement. JAX offers an MBA program, a fitness center with an award winning wellness program, and a fully operational primary care facility available to employees and their families.

Most importantly, every position contributes to JAX's mission of discovering precise genomic solutions for human disease and empowering the global biomedical community in our shared quest to improve human health.

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

Learn more about at opportunities at JAX at

Associated topics: architect, design, develop, lead, perl, php, programming, senior, senior software engineer, software engineer lead * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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