CDC Full-Time Post Doc fellowship in Public Health Modeling

CDC established a 2-year Analytics and Modeling Track within the CDC Steven M. Teutsch Prevention Effectiveness Fellowship focusing on the application of mathematical modeling, forecasting, and advanced analytics in public health. The PE Fellowship is recruiting approximately 10 modeling fellows in 2024. Applicants must hold a doctoral degree in a mathematical or analytical field such as mathematical modeling, operations research, statistics, computer science, ecology, and quantitative epidemiology. Fellows are matched with CDC programs and focus on work related to disease transmission, individual, compartmental, agent-based, spatial, network, simulation, system dynamics, and econometric models. Training is provided in decision analysis, disease transmission modeling, advanced econometrics, machine learning, big data analysis, data visualization, and software applications such as R, Julia, Python. Doctoral degree requirements must be completed by 7/19/2024. Starting annual salary is approximately $97,000 plus Federal benefits. The fellowship begins 8/12/2024 with an orientation and training program. Interested individuals apply online at: https://www.cdc.gov/pef/ between 9/1/2023 and 1/5/2024. Direct questions to: PEF Coordinator, 404-861-3882 or PEF@cdc.gov. All applicants receive equal consideration without regard to person's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability or genetic information, or any other non-merit factors. CDC maintains a smoke-free environment.

Type
Postdoc
Institution
Centers for Disease Control and Prevention (CDC)
City
Atlanta
Country
United States
Closing date
January 5th, 2024
Posted on
September 6th, 2023 19:53
Last updated
September 6th, 2023 19:53
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