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 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 data from various epidemiologic studies including NHANES, HRS, UK-BioBank, among others. A particular focus our work is an ongoing longitudinal cohort based on area probability sampling of African American and White adults initially 30-64 years old in Baltimore, MD, the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study (https://handls.nih.gov/). This position works in all domains of HANDLS, including social, nutritional, cognitive, and molecular epidemiology applying ongoing training and experience in epidemiological methods relevant to understanding aging and health disparities that provide insight into how interactions among these factors yield disproportionate rates of age-related disease and disability. Candidates must have less than 5 years of postdoctoral experience, a Ph.D. 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 an interdisciplinary area such of social, nutritional, cognitive, 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, programming skills using Stata and R preferred, familiarity with large databases and healthcare data management, basic knowledge or sufficient preparation for training in longitudinal data analysis, including survival analysis and mixed-effects regression models, knowledge and skills 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, preference for |programming skills in Python is preferred, and 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