Research Scientist (Machine Learning)
Location: Bellevue, WA, USA
Date Published: December 4, 2018
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, ministries of health in the developing world, as well as universities and research institutes.
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. The primary scientific responsibilities of this role include: identifying and implementing practical approaches for simulating pathogen evolution during transmission; working with the IDM software team to create efficient and reliable simulation code; executing model-based experiments to investigate pressing questions in disease control; and visualizing complex data. Communications responsibilities include: collaborating with external partners; presenting to key stakeholders in public health; and sharing results through conference presentations, white papers, journal publications, and software packages.
- Analysis of the literature on pathogen evolution and disease transmission models
- Review scientific literature and determine which aspects of biology, demography, and geography are relevant for models.
- Build new features for existing disease models; design and implement new modeling methods.
- Collaborate with developers of advanced model calibration methods to identify model parameters from data.
- Write software to analyze raw model outputs and generate insightful summaries and visualizations of the results.
- Communicate research through white papers, publications, conference and stakeholder presentations, and collaborations with external partners.
Key Qualifications and Required Skills:
- Ph.D. in a quantitative field (e.g. Physics, Applied Mathematics, Statistics, Computational Biology)
- Proficiency in at least one data-analysis or scripting language (e.g. MATLAB, python, R)
- Proficiency in at least one of C, C++, C#, Java
- Knowledge of numerical analysis, dynamical systems, and stochastic processes
- Deep familiarity with principles and techniques of computational modeling
- Multiple peer-reviewed scientific articles
- Attention to detail and high standard for quality of work product
- Ability to initiate, organize, and manage research projects and clearly communicate analysis results to diverse audiences
- Demonstrated ability to work productively independently and as part of a team; work extended hours to meet a deadline
- Experience working with a software development team or on collaborative software projects is a plus
- Experience with CUDA programming is a plus
Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class research laboratories and non-profit organizations, and to contribute to global and national disease control strategies.
We are an equal opportunity employer