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Postdoctoral Fellowship in TB Transmission Modeling

Dr. Menzies’ Research Lab in the Department of Global Health and Population at the Harvard T.H. Chan School of Public Health invites applications for a one-year post-doctoral fellowship, with the potential to extend for additional years.

The Menzies’ lab undertakes a range of research investigating the health impact, costs, and cost-effectiveness of infectious disease treatment and prevention programs in the United States and in low resource settings, using mechanistic and statistical computer modelling. The research involves close collaboration with the Centers for Disease Control and Prevention for US-based TB research, and also with the Gates Foundation, WHO, and the Global Fund Against AIDS, TB, and Malaria.

The successful candidate will perform economic analyses and transmission modeling to investigate the potential impact of novel TB diagnostics and how they might be incorporated into diagnostic algorithms. There are also opportunities to collaborate on additional projects depending on interests and expertise.

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 compiled languages (e.g. C++), 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

For additional information and to apply, please visit https://academicpositions.harvard.edu/postings/9988.

Type
Postdoc
Institution
Harvard T.H. Chan School of Public Health
City
Boston
Country
USA
Closing date
March 1st, 2021
Posted on
January 14th, 2021 19:52
Last updated
March 5th, 2021 17:38
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