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 Research Scientist to work as part of the IDM research team and collaborate on the adaptation of machine learning methods to the problem of calibrating infectious disease transmission models to pathogen genomic and epidemiological data, with immediate applications to seasonal influenza, RSV, and polio.
We seek a full-time Research Scientist to work as part of the IDM research team and collaborate on the development of infectious disease transmission models that incorporate pathogen evolution, with immediate applications to seasonal influenza, RSV, and polio.
We seek a full-time Research Scientist to work as part of the IDM global development research team to collaborate on the development, refinement, and application of sophisticated models of vaccine-preventable infectious diseases for epidemiological research and eradication-campaign planning, focusing primarily on immediate applications to measles. The scientific responsibilities of this role will include a combination of: analyzing existing data on immunization and disease incidence; utilizing and refining IDM’s existing measles models; identifying promising new modeling approaches in the literature and implementing them; executing model-based experiments to investigate pressing questions in disease control and eradication policy; visualizing complex data and simulation outputs; and clarifying key dependencies and uncertainties in their results.
We seek a full-time Research Statistician to work as part of the IDM global development research team to gather, analyze, and model data about healthcare delivery in countries with a high burden of communicable diseases. The statistician will focus on diverse data and problems related to the impact, effectiveness, efficiency, and measurement of healthcare delivery systems, e.g. health and demographic surveys, epidemiological studies, disease surveillance, clinical trials, and administrative data reported by healthcare systems and other disease control campaign efforts.
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.
The 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.
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.
For more information about IDM’s Summer Internship Program email email@example.com.
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.