Epidemiologist III- Preventive Medicine and Biostatistics

Remote Full-time
About the position HJF is seeking an Epidemiologist III to provide epidemiological, computer programming, biostatistical and laboratory procedure support for a specified project. This is the third of five epidemiologist levels. This position will be in support of the Department of Preventive Medicine and Biostatistics at Uniformed Services University of the Health Sciences. The epidemiologist in this position will primarily work on studies of the Environmental Determinants of Cancer among members of the US Military. These studies involve the assessment of Per- and polyfluoroalkyl substances (PFAS), polycyclic aromatic hydrocarbon (PAH) and other exposures from pre-diagnostic serum samples. The serum biomarkers will be analyzed in conjunction with measures of genomic, proteomic and possibly metabolomic profiles to assess susceptibility and risk of development of various cancers. This position would provide great experience and opportunities for a junior doctoral level epidemiologist who has some prior experience in analyses of “omics” and exposure mixtures. Responsibilities • Provides input regarding study design, necessary statistical analysis and epidemiological interpretations of the research. • Preparing written reports, manuscripts, and presentations for talks and posters. • Initiates, designs, and implements epidemiological analyses supporting the research project. • Works with PI and study coordinator to maintain and update regulatory documentation. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include participation in required training. Requirements • Master's Degree required in Epidemiology. Doctoral Degree preferred. • Minimum of 6-8 years of experience is required. • Knowledge and ability to use and teach complex epidemiologic research methods for assessing the risk of disease in humans due to potential risk factors. • Ability to clearly describe methods applied and study findings with research collaborators. • Advanced knowledge in computer programming with experience with advanced multivariate statistical methods. • Knowledge of statistical software including SAS, STATA and R. • Previous experience with '-omics data' desired. • Excellent written and oral communication skills. • Ability to obtain and maintain a T1 public Trust. Benefits • Comprehensive suite of benefits focused on health and well-being, including medical, dental, and vision coverage. • Health savings and retirement plans. Apply tot his job
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