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An exciting research opportunity at the Biodemography of Aging Research Unit, Social Sciences Research Institute, Duke University for the National Institute on Aging (NIA) funded projects.

Our research team is looking for an open-minded and talented research associate who is excited about the science and can conduct multi-tasking work in multi- and inter-disciplinary environment to apply integrative approaches in studies of complex research questions in genetic susceptibility to human aging, age-related diseases and lifespan.

S/he should have experience in genetic epidemiology, statistical genetics, bioinformatics or related fields. Ideal candidate will have experience in analyzing large-scale phenotypic and genetic data using state of the art methods of statistical analyses, have experience in analyzing biological role of genes, be experienced in R statistical software. Analytic skills, experience in mathematical modeling, experience in programming languages (e.g., SAS, Python, C/C++), experience in biology, proven track record of publications in peer-reviewed journals are a plus.

The position assumes communication skills and collaborative and creative work in multi- and inter-disciplinary environment. The researcher will exploit existing (developed in our group and elsewhere) and develop new approaches to the analyses and interpretation of findings in genetic association studies of human aging, health, and lifespan aiming to significantly improve efficiency of genetic discoveries.

The research agenda will include (but not limited to) working with large-scale datasets with phenotypic and genetic information, statistical analyses of these data, analytic work with the results, functional genomics analyses, mathematical modeling, and publishing scientific papers.

Particular focus will be on the analyses of associations of genetic variants with heath and aging/longevity related traits and on addressing the relationships among genetic regulators of physiological aging, senescence, health and lifespan, using several large longitudinal human datasets.

Submit application including cover letter, CV and 2 reference letters online through AJO and send a copies to Ms. Lisa Love, e-mail: lisa.love@duke.edu.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

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