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Postdoctoral fellow, modeling the health impact, costs, and cost-effectiveness of infectious disease prevention and treatment strategies.

The Prevention Policy Modeling Lab at Stanford University is seeking multiple postdoctoral scholars to join our growing team working in infectious disease policy modeling.

We are recruiting one or more postdoctoral scholars to work on CDC-funded projects that conduct analyses and modeling relating to the health impact, costs, and cost-effectiveness of infectious disease prevention and treatment strategies. The Prevention Policy Modeling Lab (PPML) is led by Dr. Joshua Salomon, Professor of Health Policy, and is a multi-institution research consortium, led by Stanford University and in alliance with Boston Medical Center, Boston University, Harvard University, University of Michigan, Yale University, Brown University, and the Massachusetts Department of Public Health.

The aim of PPML’s work is to inform health policy and guide public health decision-making at local, state, national, and international levels. A major focus for PPML is on evaluating infectious disease treatment and prevention programs in the United States through health and economic modeling. PPML is dedicated to creating models that improve public health decision-making in five key areas: HIV, viral hepatitis, sexually transmitted infections, tuberculosis, and school/adolescent health. Recent work has expanded to projects focused on health equity, utilizing modeling to address social determinants of health and reduce racial/ethnic disparities.

PPML postdoctoral scholars will lead simulation modeling and decision analysis that informs guidelines, policies, and practices relating to infectious diseases. In addition, candidates will have the support to explore further research interests as new and exciting opportunities arise. Fellows will engage across partners in local and state health departments, the federal government, and academic institutions.

The ideal candidate will have a PhD in epidemiology, statistics, data science, decision science, operations research, applied mathematics, economics, health policy, computer science, or another related field; strong programming and data analytic skills; and excellent oral or written communication skills. Prior experience in developing and applying mathematical models in health or related fields; interest in public health and infectious disease are preferred.
Interested applicants should reach out to Teresa Puente, PPML Program Manager, ( with the following:
• Detailed CV
• Cover letter, including description of research interests, background, and career goals
• Example research paper/writing sample (if applicable)
• Contact information for 2-3 references

Applications will be reviewed on a rolling basis with the opportunity to start as soon as possible. For the full position posting:

Stanford University, Prevention Policy Modeling Lab
Closing date
January 1st, 2024
Posted on
September 8th, 2023 01:42
Last updated
September 8th, 2023 01:42