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 join IDM’s Applied Math team, which aims to develop algorithms and workflows that increase the usability, capability, and efficiency of the end-to-end modeling process. The Research Scientist will conduct novel and translational research to support the use of data and models in making better decisions regarding health and development. In addition to algorithm development, the scientist will apply and refine these methods in partnership with programmatic teams within IDM and beyond. Successful applicants will command a deep and diverse technical knowledge of applied mathematics, computer science, and statistics.
IDM is seeking a Software Development Engineer in Test (SDET) to bring their passion for software quality to bear on the challenges of infectious disease eradication. The SDET will work closely with scientists and software developers to manually test new features and develop automated tests of IDM’s infectious diseasemodels. This individual will help support scientific research teams’ adoption of software development practices. This work will ensure that IDM’s scientists can focus on the scientific challenges of disease modeling, with a high level of confidence in the quality of their underlying software. This will require automation ofstatistical tests, collaboration with scientific professionals, and manual exploratory testing. This position reports to the Software Test Manager – IDM.
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The Data, Dynamics, and Analytics group within the Institute for Disease Modeling has an internship opportunity for a graduate student pursuing a Ph.D. in a quantitative field. Over the summer of 2020, the intern will be applying cutting-edge, data-driven techniques for analyzing time-series data collected from modern epidemiological surveillance systems. We are seeking a candidate passionate about learning and applying new mathematical and statistical techniques as well as taking a deep dive on real data. For example, the candidate will be using methods such as the recently developed sparse identification of nonlinear dynamics (SINDy) and dynamic mode decomposition (DMD) on time-series data collected in low-and-middle income countries focused on pathogens such as polio, measles, flu, and diarrheal diseases. More broadly, this internship offers an opportunity to learn about various quantitative approaches in epidemiology, to understand current public health questions and challenges, and to engage with a cohort of smart, enthusiastic interns focused on a variety of questions.
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.
The Computational Sciences group at IDM is focused on the design and implementation of methods and workflows to overcome these challenges. The intern will implement new algorithms and workflows to be used broadly across IDM and by our external network of collaborators.
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.