Intern-Software Test Engineer

Location: Bellevue, WA, USA


Date Published: February 23, 2019

The Institute for Disease Modeling shapes global efforts to eradicate infectious diseases and to achieve permanent improvements in the health of those most in need. By developing, using, and freely sharing computational modeling tools, we advise policymakers, promote quantitative decision-making and advance scientific methodologies. IDM is a highly dynamic organization, composed of research scientists and software professionals, 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. IDM is an institute within the Global Good Fund, a collaboration between Intellectual Ventures and Bill and Melinda Gates.

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.

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 key stakeholders on a diverse range of program strategy teams to scope and refine collaborative experiments.
  • Identify strategically diverse priorities, opportunity costs, and limited resources.
  • Conduct application-driven technical research in applied mathematics
  • Thought and technical leadership across
  • Data: sources, quality assessment, outlier detection, integration, and survey design
  • Analytics: descriptive, predictive, and prescriptive
  • Cross-pollinate solutions from computer science, dynamical systems, economics, physics, biosystems, and engineering to problems in health and development.
  • Prototype solutions quickly to challenging problems through scripting and web-based platforms.
  • Communicate clearly intricate mathematical solutions to non-technical audiences.
  • Lead in the creation of 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. Applied Mathematics, Computer Science, Statistics, Physics, Computational Biology).
  • Experience with strategic leadership and project management.
  • Deep and diverse knowledge of theoretical and computational methods in statistics, computer science, dynamical systems, economics, genomics, mathematics, and modeling.
  • Clearly and effectively communicate diverse and technical work to stakeholders.
  • Proficiency in at least one data-analysis or scripting language (python 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.

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