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BACKGROUND

A Computational Programmer / Analyst is sought by a world-recognized leader in nutrigenomics, at the JM-USDA Human Nutrition Research Center on Aging at Tufts University in Boston, MA, to contribute to a funded project seeking to identify where and how genetic variation, diet and exercise influence risk of heart disease and type 2 diabetes.

Synopsis of the project: The influence of genetic variation on human disease risk is incompletely defined and lifestyle behaviors such as diet and exercise are important modulators of that risk. We use nutrigenomics and genome-wide applications to define those genetic factors pertinent to risk of cardiovascular disease, type 2 diabetes and obesity that are sensitive to diet, exercise and other lifestyle choices. An expansion of our work, newly funded, brings in the application of systems biology approaches and statistical genetics methodology to predict the impact of dietary components and physical activity in modifying the disease risk of common genetic variants in a genome-wide manner.

Who We Are:

A highly successful laboratory conducting research at the intersection of human nutrition and genomics
Research focus on cardiovascular disease, type 2 diabetes and their risk factors, especially as influenced by genetic variation and the response to modulating factors of diet and physical activity
An innovative, collegial and highly collaborative group
Excellent track record of publishing and obtaining external funding

RESPONSIBILITIES

Gene networks, built from specific gene-environment interactions, will be analyzed for pathway enrichment and pertinent gene co-expression in order to predict new sites of gene-environment interactions. A long-term goal of this research effort is to redraw gene networks and pathway diagrams to include genetic variants, environmental factors and allele-specific connections between the linked entities so that pathway fluxes and disease status can be better depicted. Successful identification of gene-diet interactions will result in a more complete understanding of how the human genome senses the environment and how disease risk conferred by genetic variation is modulated.

REQUIREMENTS

A PhD in Computational Biology, Molecular Biology, Genetics, Biostatistics or related field with at least three years' post-graduate experience preferred
Success working cooperatively and effectively with other scientists
Knowledge of statistics and genetics
Demonstrated skills in bioinformatics programming in Perl, C++, Python or Java
Experience in a Linux, Unix or Ubuntu environment
Expertise with large, genome-wide datasets, and their manipulation and analysis
Record of peer-reviewed publications
Excellent verbal and written communication skills

PREFERENCES

At least three years' post-graduate experience preferred. Working knowledge in R is desirable.

LOCALE

Boston, MA, USA

COMPENSATION

Salary and benefits for this funded position will be commensurate to experience of the successful candidate.

We Offer:

An NIH-funded position to develop applications for the genome-wide prediction of gene-environment interactions with respect to cardio-metabolic diseases
Competitive salary with a wide range of benefits at the Scientist III position
Congenial, academic setting
An environment where your creativity becomes a valuable and sought after part of ongoing projects and partnerships

HOW TO APPLY

Interested candidates should submit a cover letter and CV to Dr. Caren Smith at caren.smith[at]tufts.edu. Please refer to job code TH0113B.

DEADLINE

Closing date for the acceptance of applications will be 14 Feb 2013.

POLICY

Tufts University is an EEO.

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