Intellectual Ventures ("IV") is a privately-held, invention investment company based in Bellevue, Washington. Intellectual Ventures is the leader in the business of invention. Driven by the belief that invention sparks progress, Intellectual Ventures is committed to creating and sustaining a market for invention and being the leading invention partner for the world's most innovative companies and individuals. The company creates new inventions, invests in existing inventions and partners with individuals, universities and research labs worldwide to develop inventions. Intellectual Ventures provides companies access to these inventions through a variety of licensing and partnering programs.
The Institute for Disease Modeling (IDM) at Intellectual Ventures develops detailed, geographically-specific, and mechanistic stochastic models of disease transmission simulations through the use of extensive and complex software modeling. IDM enables broad accessibility of modeling and quantitative analysis tools to achieve acceptance and utilization of data-driven computer models as decision making tools in the eradication and control of infectious diseases. 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.
As part of this group, the computational algorithms postdoc will be a major contributor in the research and development of new methods for optimization, calibration, parameter space exploration, and sensitivity analysis. These novel methods will be used to generate model-based guidance for public health campaigns and inform policymaking decisions with quantitative results across various disease models including polio, HIV, tuberculosis, and malaria. The research, models, and results will be presented to key stakeholders, displayed at conferences, and published in academic journals. The duration of this postdoctoral appointment will be 3 years.
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-eradication strategies. Publication of research work is strongly encouraged.
- Become familiar with state-of-the-art algorithms for model calibration, optimization, sensitivity and uncertainty analysis, or parameter space exploration
- Develop a theoretical basis for novel algorithms
- Prototype and demonstrate novel algorithms in a scientific computing language
- Provide assistance to software team implementing novel algorithms into a production framework
- Lead in the preparation of research articles and conference presentations communicating methods and results to the scientific community
Key Qualifications and Required Skills:
- Ph.D. in a quantitative field (e.g. Mathematics, Physics, Bioinformatics, Control, Computer Science, Engineering)
- Significant experience in developing and analyzing numerical methods (e.g. stochastic optimization, Monte Carlo sampling, regression)
- Familiarity with principles, techniques, and tools of computational epidemiology
- Proficiency in at least one data-analysis or scripting language (e.g. MATLAB, python, R)
- Ability to read and write research articles
- Work extended hours to meet a deadline, and a demonstrated ability to work productively as part of a small team
- Interest in providing quantitative guidance to public health issues in developing world settings.
- Multiple published articles in peer-reviewed scientific journals. List of articles to be submitted with application
We are an equal opportunity employer