University of Washington School of Public Health

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Researcher/Postdoctoral Fellow, Geospatial (ABRAID) - Institute for Health Metrics and Evaluation

Notice!This listing has expired and should not be applied for.
Location: Seattle, WA
Full-time position
Closing Date: open until filled
Job #11641
Posted: July 25, 2017

IHME has an outstanding opportunity for a Researcher or a Postdoctoral Fellow who will join our Geospatial Analysis team, with a focus on the Atlas of Baseline Risk Assessment for Infectious Disease (ABRAID) project. The ABRAID project provides a platform for computing and disseminating assessments of infectious disease distributions, and is regularly updated through novel data streams and active expert validation. The purpose of this position is to help devise and apply innovative methods in infectious disease modelling to produce high-quality and policy-relevant estimates of health and health-related indicators at the most granular level possible.

The incumbent will be a critical member of an agile and dynamic research team developing new approaches and producing detailed estimates that will empower policymakers and donors to make optimal decisions about allocating funds and prioritizing interventions. The individual will be expected to interact successfully and describe complex concepts and materials concisely to a wide range of stakeholders, including high-level individuals in government or other organizations.

The individual must develop a command of the methods developed and deployed, and the rationale for them. In this case, the methods include species-distribution and infectious disease modelling, to demonstrate spatial variation in occurrence data; as well as exploring the spatial-temporal relationship between occurrence data and pandemic potential.

The individual is expected to agilely create and deploy code to carry out complex statistical methods.  The individual will be a key contributor to discussions about methods development, strategic decision-making about how best to deploy methods using the given computational infrastructure, and most importantly, how to improve upon the results given the available data. The individual will also be responsible for contributing to papers, presentations, and other materials to help disseminate results.

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