Research Scientist – Applied Math / Computational Sciences
Location: Bellevue, WA, USA
Date Published: June 25, 2019
As part of Intellectual Ventures' Global Good initiative, the Institute for Disease Modeling’s (IDM) mission is to guide global efforts towards the eradication and control of infectious disease through the use and promotion of 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 (BMGF), ministries of health in the developing world, as well as universities and research institutes.
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.
Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class researchers and non-profit organizations, and to contribute to more effective burden reduction and disease eradication strategies.
- Work with program-oriented researchers to gather requirements and use cases for computational methods.
- Perform novel and translational research.
- Efficiently implement algorithms in python, e.g. using GPU computing
- Test and refine algorithms through collaborative applications to real-world problems.
- Quickly prototype solutions to challenging problems through scripting and web-based platforms.
- Clearly communicate sophistical methods to diverse audiences.
- Cross-pollinate problems in health and development with solutions from computer science, dynamical systems, economics, physics, biosystems, and engineering.
- Create internal and global public goods such as open source software and academic publications.
Key Qualifications and Required Skills
- PhD in a quantitative field (e.g. Computer Science, Applied Mathematics, Statistics, Physics, Computational Biology).
- Deep and diverse knowledge of theoretical and computational methods in statistics, computer science, dynamical systems, and applied mathematics.
- Experience communicating diverse and technical work to stakeholders.
- Proficiency in at least one scripting language (python strongly preferred).
- Demonstrated ability to work productively as part of a team.
- Work extended hours to meet a deadline.
- Attention to detail and high standard for quality of work product.
- Knowledge of issues of public health in developing world settings is a plus.
- Experience working on collaborative software projects is a plus.
- Must be highly self-motivated and results-oriented.
We are an equal opportunity employer