Temporary Data Analyst

Core responsibilities:

• Support research on reproductive and maternal healthcare coverage globally by generating evidence on historical trends and future scenarios in family planning indicators
• Manage and shape large datasets, ensure data quality, provide computational support, and extract/format data for multidisciplinary research projects
• Create efficient methods for data extraction, develop code, organize data sources, and explain complex analytic processes
• Use AI to optimize data workflows, enhance analysis and visualization, and implement diagnostic capabilities for anomaly detection

This role creates positive change by turning complex health data into actionable insights that improve health policy and practice globally, with a focus on reproductive and maternal healthcare coverage to inform global tracking processes and investment decisions.

Required qualifications:

• Bachelor's degree in social sciences, engineering, computer science, or related field plus two years' related experience
• Demonstrated ability to evaluate and integrate emerging AI technologies into data workflows
• Strong quantitative aptitude and ability to learn new information quickly to understand complex information systematically
• Fluency in coding languages R and Python, with agility working with complex databases

This is a temporary position contingent on project funding availability. The position is eligible to work fully remote in the US with a flexible schedule that overlaps 50% of IHME office hours (8 a.m. to 6 p.m. Pacific Time).

The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington whose mission is to deliver timely, relevant, and scientifically valid evidence to improve health policy and practice globally through projects like the Global Burden of Diseases and Health Systems research.