Research Scientist – Childhood Health
Location: Bellevue, WA, USA
Date Published: November 03, 2017
The Institute for Disease Modeling (IDM) is composed of research scientists and software professionals who focus on creating powerful and innovative disease modeling and data analysis tools to help researchers and policy makers understand diseases, their causes, the way they spread, and the best types of interventions to use for the particular situation faced. The IDM team architects advanced models of disease transmission, develops computational tools to inform global disease eradication policy, conducts analysis of epidemiologically- and policy-relevant data, and identifies critical knowledge gaps. IDM partners with the Bill and Melinda Gates Foundation, 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. IDM is committed to improving and saving lives in developing countries through the use of quantitative analysis.
We seek a full-time Research Scientist to work as part of the Epidemiology team on modeling infectious diseases and childhood health. This work will involve quantitatively understanding the etiology, pathways to care, diagnosis, and treatment patterns of common symptoms such as fever or diarrhea, exploring the mechanisms and transmission pathways of common pediatric infectious diseases, and constructing their relationships with infant health and growth trajectories. The researcher will collect evidences through data analysis and literature search, design and exercise models to drive innovations in evaluating effects of various novel interventions to reduce infant and childhood mortality. The research, models, and results will be presented by the researcher to key stakeholders, at conferences, and published in academic journals.
- Design, lead and participate in various research projects
- Gather and analyze datasets in infectious diseases, nutrition and infant growth
- Work closely with the modelers and statisticians on the team to build models, conduct sensitivity analyses, explore tradeoffs among possible interventions, and optimize global health strategies.
- Communicate research through publications, conference and stakeholder presentations, and collaborate with external partners.
- Travel may be necessary
Key Qualifications and Required Skills:
- Ph.D. in a quantitative field (e.g. Physics, Applied Mathematics, Statistics, Epidemiology, Quantitative Biology)
- Proficiency in at least one data analysis or scripting language (MATLAB, R, python). C/C++ experience an asset, but not required.
- Ability to read and research articles in medicine, immunology, microbiology, statistics and applied mathematics.
- Prior experience at clinical settings in the developing world is a plus, but not required.
- Self-motivated, work well in a team and is a clear and effective communicator.
- Multiple published articles in peer-reviewed scientific journals. List of articles to be submitted with application.
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