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 their work, they 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 Research Intern will collaborate with IDM’s health finance and delivery researchers. They will contribute to research into optimal strategies for investing in healthcare systems strengthening and capacity building. Specifically, they will work to quantify the opportunity cost associated with competing demands for time on a constrained workforce and to consider mitigation strategies.
- Review scientific literature and summarize the current body of knowledge on workforce planning and capacity needs in low- and middle-income countries.
- Research the standard healthcare services offered in priority countries and the current coverage levels.
- Work closely with team members to develop models that explore the effect of investments in healthcare systems (i.e. the trade-offs between routine immunization, supplementary campaigns, workforce development).
- Estimate the impact of potential investments on the availability of care and the cost of delivery.
- Generate insightful summaries and visualizations of the results, of a quality that can be presented to decision makers or used for publication.
Key Qualifications and Required Skills:
- Masters- or PhD-level candidate in a quantitative field (e.g. data science, engineering, finance, health economics, applied mathematics, decision science) or in a health field (e.g. public health, epidemiology, nursing) with a demonstrable quantitative skill set.
- Understanding of the principles of optimization, simulation/stochastic processes, and statistics.
- Proficiency in a data-analysis or scripting language (e.g. MATLAB, python, R, VBA).
- 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 quality work.
- Ability to work independently to achieve collaborative team goals.
To Apply: Send resume to firstname.lastname@example.org and include “Health Finance & Delivery” in the subject line.