Postdoctoral Position in social, nutritional, or molecular epidemiology: The Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study

Postdoctoral Position in social, nutritional, or molecular epidemiology: The Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study.

A fully funded postdoctoral position is available immediately in the Health Disparities Research Section of the Laboratory of Epidemiology and Population Sciences, at the National Institute on Aging (NIA) in Baltimore, MD (https://www.nia.nih.gov/research/labs/leps/health-disparities- research-section). Research in the laboratory examines the biologic basis of age associated health disparities using a translational approach spanning from clinical research to the bench in a targeted epidemiologic study, The Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (https://handls.nih.gov/). The HANDLS study is an ongoing population based longitudinal study with a wealth of data. This position works on the social, nutritional, or molecular epidemiology domains of HANDLS using skills in epidemiological methods in those specific areas and in computational biology and statistical genetics, to examine the gene X environment interactions, epigenomic effects, and gene expression changes relevant to understanding aging and health disparities to provide insight into how these interactions result in disproportionate rates of age-related disease and disability. Candidates must have less than 5 years of postdoctoral experience, a Ph.D. (and/or M.D., MPH) degree in Epidemiology, Nutrition, Biostatistics, Statistics, Population Genetics, Computational Biology, or related fields.

The following qualifications are required:

 

Research experience in the interdisciplinary areas of social, nutritional and molecular epidemiology or other substantive areas in epidemiology, statistics, bioinformatics, neurosciences, psychometrics, or other public health or related field.

Understanding of the healthcare domain and basic knowledge of human subject research protocol.

Excellent programming skills using Stata and R preferred.

 

Familiarity with large databases ( >10 million records) and healthcare (e.g. claims and EHR) data management.

Experience with longitudinal data analysis, including survival analysis and mixed-effects regression models.

Experience with multivariate analysis, including factor analysis and structural equation models.

 

Knowledge and experience in other advanced statistical and epidemiological methodologies and their application to biomedical research.

Excellent programming and coding skills in high-performance Linux cluster computing environment is preferred.

Experience in high-dimensional data management and analysis skills is preferred. Experience in PLINK and other genomic analysis suites is preferred.

Programming skills in Python or Perl is preferred.

 

Previous experience in genome-wide association analysis, gene-expression or DNA methylation is preferred.

Basic knowledge of neuro-epidemiological methods is preferred.

 

Salary commensurate with research experience, according to the NIH intramural pay scale. Interested applicants should e-mail a curriculum vitae, a brief description of their research interests, and 3 letters of reference to: Ms. Dana Faulcon, National Institute on Aging, National Institutes of Health, 251 Bayview Blvd, Baltimore, Maryland 21224-6825. E-mail: Dana.Faulcon@nih.gov Review of applications will begin immediately upon receipt.

HHS and NIH are Equal Opportunity Employers