Postdoctoral Research Fellow; HIV Epidemiology and Modelling

Title Postdoctoral Research Fellow (HIV Epidemiology and Modelling)

School

School Harvard T.H. Chan School of Public Health

Department/Area

Position Description

The Department of Epidemiology at the Harvard T.H. Chan School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global research initiatives, we educate and prepare future medical leaders and practitioners as part of our mission to ignite positive changes in the quality of health across the world.

We seek one Postdoctoral Research Fellow to lead mathematical modelling and statistical analyses as part of two NIH-funded studies (IN- STEP and SENTINEL) with the Rakai Community Cohort Study (RCCS) in south-central Uganda. Both projects are collaborations with the Rakai Health Sciences Program (RHSP) and Johns Hopkins University, and other study team partners. The Postdoctoral Fellow will have primary responsibility for only one project aligned with skills and interests, but is expected work collaboratively with team other members across both projects where interests overlap, along with collaboration with other modeling teams at the Gates Foundation and Imperial College London.

Successful candidates for the Postdoctoral Fellow role will have completed a doctoral degree in quantitative discipline, strong technical and analytical skills, demonstrated aptitude for and experience with academic research, and interest in developing a research portfolio in infectious disease dynamics with focus in HIV and STI control. The Postdoctoral Fellow will be based in the Center for Communicable Disease Dynamics in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health.

They will be a member of the HIV Inference Group, a geographically distributed and substantively diverse research team led by Dr. Jeff Imai-Eaton. Both projects are close collaborations with the Rakai Health Sciences Program (Dr. Godfrey Kigozi, Dr. Ronald Galiwango, and colleagues) and Johns Hopkins University (Dr. M. Kate Grabowski and Dr. Larry Chang). Please read below for additional information about the study and the two projects.

As mentioned above, the Postdoctoral Research Fellow will take primary responsibility for one project and collaborate on the other.

The RCCS, run by the Rakai Health Sciences Program, is one of the longest-running and largest population-based HIV surveillance cohorts in Africa. Since 1994, the RCCS has enumerated and surveyed all residents aged 15 years and older in about 40 communities in south-central Uganda roughly every two years. Each round collects detailed sociodemographic, behavioural, and health-service data, along with HIV and other laboratory testing, from about 20,000 participants.

Biospecimens have been collected from more than 300,000 individuals. Over four decades, research in Rakai has shaped the global HIV response. It established the relationship between viral load and heterosexual HIV transmission, showed through randomized trials that medical male circumcision reduces HIV acquisition in men, documented the impact of combination HIV prevention and treatment on population-wide HIV incidence declines, and has pioneered the use of population-based HIV phylogenetics to unravel HIV transmission networks.

The RCCS is now uniquely positioned to map the "end game" of a generalized HIV epidemic. As incidence falls, it can show where remaining infections occur, which interventions work, and what threatens progress toward epidemic control.

IN- STEP (Integrated Female Sexually Transmitted Infection Testing for HIV Epidemic Control through PrEP) is an individually randomized effectiveness-implementation trial nested within the RCCS to assess whether integrated STI testing increases uptake and continuation of HIV pre-exposure prophylaxis (PrEP) and improves STI outcomes, hypothesized through multiple pathways including leveraging ongoing STI transmission for efficient network-targeted interventions and STI diagnosis supporting enhanced individual motivation for HIV prevention.

As part of IN- STEP, the HSPH team will lead development of a transmission modelling framework that simulates simultaneous transmission of HIV and multiple curable STIs within the same sexual networks and test apply the model to test network-science…