Research Intern - Measles Team

Location: Bellevue, WA, USA

Reference: in20200122-1

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 for the IDM measles team will collaborate with the researchers on the team to characterize spatial characteristics of measles transmission and disease surveillance networks, aiming to improve IDM's models of disease transmission and produce recommendations relevant to global measles control policies. The intern will work with real-world data, potentially including surveillance of measles cases, serological data on population immunity, and immunization data, to address a number of important questions in measles control. Example questions may include: how spatially sparse is measles disease reporting, and what does this tell us about the value of technological improvements to ease measles case confirmation and reporting? Where do delays arise in existing measles surveillance systems, and how do these delays impact outbreak response activities? What do spatial heterogeneities in measured immunity tell us about how measles travels between communities, and how can models account for these effects to guide local immunization efforts? Outputs will be presented to researchers within IDM, and may also be published in a scientific journal or presented to policymakers at global organizations pursuing measles control efforts (Gates Foundation, CDC, WHO).

Responsibilities

  • Work closely with the measles team researchers to analyze data to characterize measles transmission and surveillance systems, refine computational models of measles transmission, and use these models to conduct sensitivity analyses and explore the impacts of various interventions.
  • Gather, process, and organize necessary input data for the models. These data may take the form of surveys, maps or GPS coordinates, administrative data, hospital records, etc.
  • Write flexible, reusable software code to analyze raw data and model outputs and generate insightful summaries and visualizations of the results.
  • Prepare written summaries and presentations of results, to be used internally or in policy recommendations, white papers, and scientific publications.

Requirements

  • Masters- or PhD-level candidate in a quantitative field (e.g., engineering, sciences, applied mathematics, decision science) with an interest in global health, or in a health field (e.g. public health, epidemiology) with a demonstrable quantitative skill set.
  • Experience with computational modeling of physical, biological, or social systems.
  • Proficiency in a data-analysis or scripting language (e.g. MATLAB, python, R) with a preference for Python.
  • Experience with data cleaning and visualization.
  • Able to summarize/structure complex information into a format 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