Research Intern- Malaria

Location: Bellevue, WA, USA

Ref: ri20190130b

Date Published: January 29, 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, ministries of health in the developing world, as well as universities and research institutes.

Description of Project:

Mathematical modelling is increasingly used to inform malaria control and elimination policy. Accurately capturing the relationship between exposure, detectability, and infectiousness is essential for model results to be meaningful.

We seek a summer intern who will work as part of the IDM Malaria team to help in the development and calibration of a novel within-host model of malaria infection and immunity. The primary purpose of this work is to explore the parameterization of this model across diverse reference settings such that the model performs with fidelity and accuracy to a wide range of transmission settings. Our aim is that model outputs can help to guide policy decision making with respect to the impact of interventions in high burden countries as well as settings approaching elimination.

Responsibilities:

  • Extracting data and parameter estimates from primary literature to serve as reference points for calibration
  • Exploring model behavior using sensitivity analysis
  • Designing algorithms to compare model outputs with complex multi-layered individual time-series data.
  • Authoring software tools for data analysis and visualization of results.
  • Communicating research aims, progress and results through written, visual and oral presentations

Key Qualifications and Required Skills:

  • A degree in the physical or quantitative life sciences (Applied Mathematics, Applied Physics,  Epidemiology, Quantitative Biology).
  • Proficiency in at least one data-analysis or scripting language (Python, R)
  • Familiarity with infectious disease biology and immunology, or optimization and calibration methods
  • Ability to organize and manage open-ended research questions
  • A passion for learning new topics and communicating ideas to diverse audiences."

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