The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. It uses cutting-edge techniques to tackle some of the most difficult and most critical questions in global health and find answers that will become the foundation for better policies and, ultimately, better health.
IHME is seeking to revolutionize the way we track diseases around the world by developing innovative geospatial analytic methods to produce increasingly granular estimates of diseases and determinants. Just a few of the diseases this revolutionary work will touch on are pneumonia and its etiologies, diarrhea and its pathogens, malaria, HIV/AIDS, tuberculosis, Ebola, as well as select neglected tropical diseases. Through the development and use of geospatial techniques to synthesize information at the local level, and in partnership with key collaborators around the world, IHME will present results in interactive high-resolution maps to illuminate levels, trends, and disparities in health outcomes.
- Develop and maintain engaging and visually appealing interactive visualizations
- Work closely and iterate quickly with IHME researchers and other stakeholders
- Develop innovative ways to leverage data visualization in the scientific research process, including data exploration, validation of results, and visualizing analytic processes
- Stay abreast of developments and innovation in the data visualization space
- Ensure visual appeal of the tools and swift performance with large quantities of indicators and data
- Help evaluate the effectiveness of using visualization tools in resource-poor settings (e.g., in developing countries) with performance enhancements, “light” versions, and standalone solutions
- Manage all code used for the visualizations in a code versioning system to enable internal collaboration and documentation
Bachelor’s degree in computer science or equivalent education and two to three years’ experience
- Knowledge of server-side scripting languages such as Python or PHP
- Strong quantitative aptitude and ability to interpret complex analytic information
- Demonstrated understanding of data visualization principles, user experience, and aesthetics
- Ability to innovate and work independently and to work successfully in a fast-paced, deadline-driven environment
- Experience with Git and Git-based workflows
- Desire to understand and promote global health research
- Strong interest in learning new skills
- Experience with geospatial datasets, formats (e.g.: shapefiles, GeoJSON, TopoJSON, GeoTIFFs), and tools (e.g.: PostGIS, GDAL, QGIS, Mapshaper), and an understanding of map tile servers and frontend mapping frameworks like Leaflet or Mapbox GL JS.
- Familiarity with Unix and Linux environments, fluency with a command-line interface, and ability to write basic shell scripts
- Understanding of HTTP servers like Apache and nginx and caching technologies like Redis and Varnish
- Understanding of relational database design and competency in SQL
- Experience with application containerization using Docker, Rancher
- Experience visualizing large, complex, and frequently changing datasets
- Understanding of scientific research and statistical analysis
- Experience working and communicating effectively with academic and scientific researchers
- A passion for cutting-edge Web technologies
Conditions of Employment: Evening and weekend work sometimes required.