Job

Research Data Analyst - Harvard T.H. Chan School of Public Health

Description:

We are seeking a Research Data Analyst in the Department of Global Health and Population at the Harvard T.H. Chan School of Public Health.

To apply, please visit: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25240&siteid=5341#jobDetails=1986588_5341

This position will work with Professor Nicolas Menzies and be based in our lab which undertakes a range of research using mathematical and statistical modeling to investigate the health impact, costs, and cost-effectiveness of infectious disease treatment and prevention programs in the United States and in international settings. Our work involves close collaboration with the Centers for Disease Control and Prevention, the Gates Foundation, WHO, and the Global Fund Against AIDS, TB, and Malaria.

The Research Data Analyst will work closely with Dr. Menzies on a multi-year research project aimed at estimating TB risks in the United States and international settings, and examine interventions to better target TB prevention services. They will also work with a team of scientific collaborators to develop computer simulation models of infectious disease epidemiology, primarily TB but also HIV and other infectious diseases. The Research Data Analyst will take primary responsibility for one or more modeling projects and will also contribute to the conduct of other studies undertaken by the research team.

Data Analysis and Programming:

• Develop study questions and analytic approach (including literature searches and data searches using various sources)
• Conduct empirical data analyses of epidemiological or healthcare utilization data
• Evaluate data quality and collate, process, and synthesize data and published evidence for simulation modeling
• Design and program mathematical simulation models of disease epidemiology and control interventions
• Use simulation models to answer research questions
• Identify methodological challenges and independently resolve or elevate them within the research team
• Optimize, test, and debug model code

Collaboration and Communications:

• Clearly document model development, structure, logic, coding, testing, and changes to facilitate communication among team members
• Actively collaborate with investigators and other research staff to implement research studies and meet study deliverables
• Assist in preparing abstracts, poster presentations and research articles of the model and modeling results
• Engage in research dissemination activities including presentation at lab meetings and regular updates to funding agencies
• Participate in modelling work group meetings and contribute to the development of new projects and proposals