Research Statistician

Location: Bellevue, WA, USA

Reference: rs20180921

Date Published: September 21, 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 Statistician to work as part of the IDM global development research team to gather, analyze, and model data about healthcare delivery in countries with a high burden of communicable diseases. The statistician will focus on diverse data and problems related to the impact, effectiveness, efficiency, and measurement of healthcare delivery systems, e.g. health and demographic surveys, epidemiological studies, disease surveillance, clinical trials, and administrative data reported by healthcare systems and other disease control campaign efforts. As part of their work, the statistician will explore different types of healthcare and human systems, technologies, and interventions, e.g., vaccines, diagnostics, supply and cold chain systems, etc. In collaborations with team members, external researchers, policymakers, and/or country health programs, the statistician will identify important healthcare delivery problems, features, and dependencies through statistical analysis and modeling; subsequently, they will model and propose contextually appropriate solutions. The statistician will present to key stakeholders, at conferences, and prepare research articles.


  • Gather, analyze, and model data about health gaps/burden, health interventions, and health delivery in countries of interest, e.g. maternal and child health
  • Identify features, structures, and relationships in relevant global health and delivery data
  • Model the efficiency and effectiveness of primary health care delivery and other health interventions
  • Flexibly engage in diverse policy and analysis questions that arise related to healthcare delivery and disease control efforts
  • Review scientific literature on the delivery of primary healthcare and other health interventions to inform on problems, identify new analyses to perform, and to set the context for current research
  • Work closely with team members and external collaborators to develop and adapt models to explore sensitivities and tradeoffs among possible interventions, and optimize the delivery of health care
  • Write summaries of results to be used in policy recommendations, white papers, and scientific publications
  • Write research articles and conference presentations communicating projects and results to the scientific community

Key Qualifications and Required Skills

  • PhD in science or in a quantitative field (e.g. Statistics, Biostatistics, Applied Mathematics, Physics, Economics); or PhD in health fields with addition of significant quantitative experience (e.g. Epidemiology, Public Health, Health Services, Global Health)
  • Proficiency in at least one data-analysis or scripting language (e.g. R, Python); proficiency with Excel
  • Extensive knowledge of diverse statistical methods and application to data
  • 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
  • Knowledge of public health issues in developing world settings
  • Multiple peer-reviewed scientific articles
  • Experience working with a software development team is a plus
  • Fluency in French, Spanish, or Portuguese is a plus

Desired skills

  • Experience with Bayesian statistics
  • Experience with survey analysis and sampling design
  • Experience with aspects of spatial statistics, disease mapping, and GIS
  • Knowledge of machine learning/statistical learning concepts and applications

We are an equal opportunity employer