Research Intern - Family Planning Project

Location: Bellevue, WA, USA

Reference: in20200122-3

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.

Ensuring women have access to safe, reliable, and affordable family planning methods is one of the most impactful public health interventions there is. However, relatively little quantitative modeling has been done to determine which people and places would benefit most from different types of family planning interventions. This project will use the latest available data to inform a mathematical model of family planning interventions and their impacts in Nigeria. By determining the expected costs and impacts of different intervention scenarios, we aim to provide policy advice to help maximize both child and maternal health.

Responsibilities

  • Working closely with the rest of the IDM family planning team, the intern will be responsible for analyzing and reconciling multiple large data sources, using these data to calibrate the model, implementing interventions in the model, and analyzing the results. Publication of the findings in a peer-reviewed journal is a possible outcome of this project.

Requirements

  • This project is suitable for applicants majoring in public health, computer science, physics, mathematics, statistics, or a related discipline. The scope of the project can be tailored to the level of the intern (undergraduate, masters, or PhD). Knowledge of programming is required (Python preferred; R, Matlab, C++, or other languages also acceptable), as well as some knowledge of statistics, experience working with real-world data is also a plus.

 

We are an equal opportunity employer