Biodemography of Aging Research Unit, Duke University

Position ID:Duke University-Biodemography of Aging Research Unit-POSTDOCTORALASSOCIATE [#12213]
Position Title: Postdoctoral Associate, Biodemography of Aging Research Unit
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27708, United States [map]
Subject Areas: Bioinformatics
Big Data Analytics
Population Health (more...)
Appl Deadline:2018/12/31 (posted 2018/10/01)
Position Description:    

*** the list date or deadline for this position has passed. ***

Availability: Immediately  

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. The research agenda will include (but is 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 SNPs with health 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. 


Our research team is looking for an open-minded and talented research associate or post-doc who is enthusiastic about science and who can work on multiple projects simultaneously in a multi- and inter-disciplinary environment. This candidate should be able 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. The 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 statistical software (preferably R). 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 a multi- and inter-disciplinary environment. The researcher will use existing analytical approaches, 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 the efficiency of genetic discoveries. 

How to Apply: Email cover letter and CV to Debra Fincham at

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Contact: Debra Fincham
Email: email
Postal Mail:
Campus Box 90420
Durham, NC 27708
Web Page:

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