We're always seeking extraordinary and creative individuals to tackle the challenging research problems in global health. The Institute for Disease Modeling (IDM) is a highly dynamic organization with a work environment that is defined by innovation and collaboration. Our research and software teams are made up of a diverse and talented group of individuals attacking the complex problems found within global health to improve the world we live in. As part of Intellectual Ventures Global Good initiative, IDM is committed to improving and saving lives in developing countries through the use of quantitative analysis.
We seek a full-time Senior Research Scientist to join IDM’s Applied Math (AMath) team to support a new collaboration between the IDM and the Strategy, Data, and Analytics (SDA) team at BMGF. AMath and SDA are cross-cutting teams working together to solve challenging problems in health and development using advanced methods in machine learning, data science, big data, and natural language processing. We have a rapid-prototyping mindset in which failing fast is a win to explore high-risk/high-reward quantitative solutions. The scientist will work closely with SDA and high-level stakeholders within BMGF to strategically scope and shape collaborative efforts, work tactically across IDM and independently to complete the work (or fail fast), publish key results, and present finding to IDM and BMGF stakeholders. The scientists must therefore be an adept strategist and project manager, while simultaneously possessing deep and diverse technical knowledge of applied computation, mathematics, and statistics.
We seek a full-time Research Statistician to identify and lead or support research projects relevant to different aspects of the group’s analysis and modeling work (e.g. Polio, vaccine preventable diseases, health delivery), as well as to actively partner/support with other teams at IDM (e.g. MNCH, Health Economics, Measles, Epidemiology, Malaria, HIV/TB, etc). Joining our group provides unique opportunities to interact with global health policy makers, to collaborate with world-class research laboratories and non-profit organizations, and to contribute to global and national disease eradication strategies.
We seek a postdoctoral research scientist to join the IDM Data, Dynamics, and Analytics team for a 2-3 year period. The researcher will be focused on applying modern data science, machine-learning, and statistical techniques to a wide-range of data sources including infectious disease data, household survey data, genomes, etc.
As an IDM intern, you would collaborate with IDM research scientists, statisticians, and software engineers to analyze and model novel vaccinator tracking data from Nigeria, potentially offering a wealth of information about human mobility, accessibility, and intervention delivery. Your goal will be to understand health-care access’s effects on the efficacy of mass vaccination campaigns, the primary delivery mode for vaccines in the most challenging settings.
IDM's Computational Model Test Team has automated statistical tests of our infectious disease model that run with our regular builds of our modeling software. Currently, these tests are executed through our regression testing scripts. This project is to get these tests adapted to run through the same simulation management software used by our Infectious Disease modeling teams.
IDM partners with selected universities, NGOs, government ministries, and other research and public health institutions focused on researching new ways to understand and combat diseases both locally and globally. If you are interested in learning more about collaborating with us, please contact firstname.lastname@example.org.