Postdoc positions available

Two Postdoctoral Research Associate positions are available in the Pitzer group at Yale School of Public Health in the Department of Epidemiology of Microbial Diseases. Our research focuses on mathematical modeling of enteric diseases, with a particular emphasis on assessing the impact of vaccination against rotavirus and typhoid. Initial funding for both positions is for 2 years.

Position 1 – Modeling rotavirus vaccine impact in developing countries:  This project involves the development and application of statistical and mathematical models to better understand the important factors underlying rotavirus immunity and transmission in developing countries. The research team includes collaborators from CDC, Bangladesh, Malawi, and Ghana.

Position 2 – Interdisciplinary studies to inform models of typhoid vaccine impact:  This project involves analyzing and integrating data from clinical and epidemiological studies to address key uncertainties in mathematical models for the impact of typhoid conjugate vaccines. The position will be jointly advised by Bryan Grenfell at Princeton University, and includes multiple international collaborators.

The ideal candidate will have a PhD in statistics, applied mathematics, epidemiology, or other highly quantitative fields, strong computer programming skills, good oral and written communication skills, an interest in global health, and previous experience with mathematical modeling.

Salary will be competitive and depend on skills and experience, and will include benefits. Support for travel to conferences and field sites will also be provided.

For further information, contact Ginny Pitzer (virginia.pitzer@yale.edu). Interested applicants should submit a curriculum vitae, a 1-2 page statement of research interests describing your qualifications, and contact information for three references. Review of applications will begin immediately and continue until the positions are filled.

Welcome to the Pitzer lab!

Our research focuses on mathematical modeling of infectious diseases, with a special emphasis on the transmission dynamics of enteric diseases.  We use mathematical models to examine the drivers underlying patterns of disease in the population, and to predict the potential population-level impact of interventions such as vaccination and improvements in sanitation.

To learn more about our research, click here.