Boston University
Post-doctoral Research Fellow in Vaccine Impact Modeling, Global Health, School
Boston University, Boston, Massachusetts, us, 02298
Post-doctoral Research Fellow in Vaccine Impact Modeling, Global Health, School of Public Health
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 the Vaccine Impact Modelling Consortium, a consortium funded by the Bill & Melinda Gates Foundation, Wellcome Trust, and Gavi, the Vaccine Alliance.
Responsibilities 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 Qualifications 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
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
Application Process To apply, please submit a cover letter, CV, and three letters of reference to Dr. Allison Portnoy at aportnoy@bu.edu. Please provide your materials in an email including “Post‑doctoral Research Fellow Position” in the subject line. Informal inquiries are welcome. Questions regarding this position can be sent to Dr. Allison Portnoy at aportnoy@bu.edu. Three references are required at minimum; four are allowed at maximum.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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Responsibilities 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 Qualifications 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
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
Application Process To apply, please submit a cover letter, CV, and three letters of reference to Dr. Allison Portnoy at aportnoy@bu.edu. Please provide your materials in an email including “Post‑doctoral Research Fellow Position” in the subject line. Informal inquiries are welcome. Questions regarding this position can be sent to Dr. Allison Portnoy at aportnoy@bu.edu. Three references are required at minimum; four are allowed at maximum.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
#J-18808-Ljbffr