The Centers for Disease Control and Prevention (CDC) established the 2-year Steven M. Teutsch Prevention Effectiveness Fellowship in 1995 to address an ongoing demand in public health for rigorous quantitative analysis through the recruitment, internal placement, and professional development of quantitative researchers.  Disease modeling is of increasing interest among CDC leadership.  Mathematical or computational models can allow researchers to study problems not easily examined in real life.  Through the use of models, researchers can examine the impact of a disease or intervention within a specific population.  They can then adjust the agent, population, or intervention (such as social distancing, vaccine, or quarantine) variables to test theories about relevant public health policy.

The PE Fellowship is recruiting five positions specifically for modeling assignments within various programs at CDC. Applicants must have a doctoral degree in operations research, industrial engineering, mathematics, statistics, or other applied science field. Assignments focus on work related to the following types of modeling; disease transmission models, individual, compartmental, and agent-based models, spatial models, simulation and system dynamics modeling, and econometric models.  Training will be provided in; decision analysis, disease transmission modeling, advanced econometrics, machine learning and big data analysis, data visualization, and key software applications such as R, Netlogo, Python, TreeAge, etc.

All doctoral degree requirements must be completed by 7/23/2021. The starting annual salary is approximately $86,000 plus Federal benefits and student loan repayment. The application period is 9/21/2020 to 1/22/2021. The fellowship begins on 8/16/2021 (this date is flexible) with an intensive orientation and training program. Interested individuals should apply now at www.cdc.gov/pef or send an email of inquiry to Dr. Adam Skelton: PEF@cdc.gov.  Phone contact is; 404-861-3882.  CDC will sponsor suitable visas for non-US citizen candidates.

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.