Post-doctoral Research Fellow in Vaccine Impact ...

Post-doctoral Research Fellow in Vaccine Impact Modeling, Global Health, School of Public Health Job Description Post-doctoral Research Fellow in Vaccine Impact Modeling, Global Health, School of Public Health Category Boston University Medical Campus --> Research Job Location Boston, MA, United States Tracking Code 25599936701205 Posted Date 12/5/2025 Salary Grade Competitive Expected Hiring Range Minimum $65,000.00 Expected Hiring Range Maximum $75,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Dr. Portnoy's Research Lab in the Department of Global Health at the Boston University School of Public Health invites applications for a one-year post-doctoral fellowship, with the potential to extend for additional years. The Portnoy lab undertakes a range of public health research investigating the health impact, costs, and cost-effectiveness of infectious disease prevention programs in the United States and in low-resource settings, using mechanistic and statistical computer modeling. The research involves close collaboration with Vaccine Impact Modelling Consortium, a modeling consortium funded by the Bill & Melinda Gates Foundation, Wellcome Trust, and Gavi, the Vaccine Alliance. The successful candidate will perform economic analyses and health impact modeling to investigate the potential impact of current and future human papillomavirus (HPV) and respiratory syncytial virus (RSV) vaccines. There are also opportunities to collaborate on additional projects depending on interests and expertise. Required Skills Doctoral degree in health policy, epidemiology, health data science, biostatistics, or a related field. The ideal candidate will have demonstrated excellence in research in one or more of the fields mentioned above. Desired skills include: + Excellent analytical, organization, and problem-solving skills + Strong interpersonal, written, and oral communication skills + Experience with R (required) + Experience with Python and cluster computing desirable + Experience with Bayesian statistics and model calibration preferred. + Strong ability to work independently and in a team environment with collaborators, stakeholders, and research staff TO APPLY: To apply, please submit a cover letter, CV, and three letters of reference to Dr. Allison Portnoy at (. Please provide your materials in an email including

Created: 2025-12-08