Biodemography of Aging Research Unit, Duke University

Position ID:Duke University-Biodemography of Aging Research Unit-POSTDOC [#12594, 50964072]
Position Title: Postdoctoral Researcher in the Field of Human Aging and Health (Duke University, NC)
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27705, United States
Subject Areas: Bioinformatics / Biological Data
Big Data Analytics
Population Health (more...)
Appl Deadline: (posted 2018/10/30, listed until 2018/12/31)
Position Description:    

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

Duke University, Biodemography of Aging Research Unit at the Social Science Research institute (SSRI), is looking for a motivated postdoctoral scientist with interest and skills in modern statistics/biostatistics and/or bioinformatics, including in the survival and longitudinal data analysis, statistical modeling and machine learning approaches, who seeks to get an advantage of exploring and integrating the existing diverse biological, genetic and health related information on thousands of individuals using various resources ranging from longitudinal studies to online data bases to social networks to peer-reviewed publications, in order to get insights into mechanisms connecting risk factors (genetic variants, exposures, etc.) with health, aging and survival outcomes, including major diseases (e.g., Alzheimer’s disease, cancer, CHD, diabetes), aging related changes in biomarkers, and longevity, to suggest new targets for their prevention and treatment. 

PhD in statistics, biostatistics, bioinformatics, or data science is preferred. Experience in performing genetic association studies and integrative “omics” approaches, and in the use of traditional software for statistical analyses (such as SAS, R) as well as in the use or creation of software tools for genetic/-omics analyses will be a plus. The successful candidate will have an opportunity to select his/her own direction of the research in the framework of the NIA/NIH research program “Relationships among Genetic Regulators of Aging, Health and Lifespan”, with emphasis on uncovering mechanisms underlying the effects of genetic and non-genetic factors on phenotypes of physiological aging, major diseases and longevity. Respective analytical approaches include but are not limited to statistical genetics, functional genomics, causation analyses, and advanced bioinformatics, among others.  

Contact: Prof. Anatoly Yashin, with a copy to . Please send your CV and a letter briefly summarizing your major research interests and key strengths.

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Campus Box 90420
Durham, NC 27708
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