Research Intern - Health Service Delivery
Location: Bellevue, WA, USA
Date Published: January 22, 2020
The Institute for Disease Modeling (IDM), part of Intellectual Ventures’ Global Good program, is committed to improving and saving lives in developing countries using quantitative analysis. The IDM team is composed of research scientists and software professionals who create advanced models of disease transmission, develop computational tools to inform global disease eradication policy, conduct analysis of epidemiologically- and policy-relevant data, and identify critical knowledge gaps. IDM is a highly dynamic organization with a work environment that is defined by innovation and collaboration. As part of our work, we routinely collaborate with groups at the World Health Organization, the Center for Disease Control, PATH, the Bill and Melinda Gates Foundation, ministries of health in the developing world, as well as universities and research institutes.
The intern will work with IDM's health service delivery researchers, contributing to research into identifying optimal strategies for investing in primary health care and health systems strengthening. The specific project the intern will undertake will be determined based on candidate skill, interest, and institutional need at the time of internship. Examples of potential projects include: analyzing household survey data to quantify patterns of inequality in health intervention coverage and health outcomes; using electronic health records to model continuity of care; analyzing availability using health facility quality data; development of models to represent the health system; identifying and resolving data quality issues in administrative data sources; using linked health facility and population data to diagnose bottlenecks in delivering effective services; estimating health system capacity shortfalls using health worker registry data; incorporating delivery constraints into existing disease transmission models at IDM.
- Analyze data from household surveys, censuses, health facility surveys, and health and logistics management information systems.
- Develop conceptual models of relationships among components of health system.
- Develop dynamic and/or statistical models that represent health systems.
- Masters- or PhD-level candidate in a public health (e.g. health services, global health, epidemiology, biostatistics, health systems) with a with a strong demonstrable quantitative skill set or from a quantitative field (e.g. data science, computer science, operations research, engineering) with applied research work in public health or global health.
- Coursework or commensurate working experience in health systems and policy research.
- Experience in a range of statistical or mathematical modeling techniques.
- Proficiency in a statistical scripting language (e.g. R, python, Stata).
- Experience with data cleaning and visualization.
- Experience with summarizing/structuring complex information (e.g. from a literature search) into a format that is accessible to a less-technical audience.
- Attention to detail and high standard for quality of work.
- Demonstrated ability to work productively independently and as part of a team.
We are an equal opportunity employer