School: Harvard T.H. Chan School of Public Health
Department/Area: Global Health and Population (GHP)
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.
Excellent analytical, organization and problem-solving skills
Desired skills include:
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
Informal inquiries are welcome.
Administrative questions regarding this position can be sent to Cindy Imai at email@example.com.
Scientific questions regarding this position can be sent to Nicolas Menzies at firstname.lastname@example.org.
Contact Email: email@example.com.
To apply, please submit a cover letter, CV, and three letters of reference through the ARIES application system.
Equal Opportunity Employer:
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, pregnancy and pregnancy-related conditions or any other characteristic protected by law.