Data Analyst (Temporary)

Core responsibilities:

• Manage and shape large datasets, ensuring data quality, providing computational support, and extracting/formating data for multidisciplinary research projects
• Create efficient, replicable methods for data extraction, code development, data organization, and quality management
• Transform and standardize datasets from various sources including surveys, vital registration systems, administrative records, and scientific literature
• Use AI to optimize data workflows, enhance analysis and visualization, and implement diagnostic capabilities for anomaly detection and performance monitoring

This role creates positive change by generating evidence on historical trends and future scenarios in family planning and maternal healthcare indicators, informing global tracking processes and investment decisions to improve reproductive and maternal healthcare coverage globally.

Required qualifications:

• Bachelor's degree in social sciences, engineering, computer science, or related field plus two years' related experience
• Fluency in R and Python programming languages
• 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

Compensation and work conditions:

• Salary range: $78,324 to $90,072 per year
• Eligible to work fully remote within the US
• Flexible work schedule with 50% overlap required with IHME office hours (8 a.m. to 6 p.m. Pacific Time)
• Opportunity to work on diverse research projects across different teams

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 through projects like the Global Burden of Diseases and Impact Evaluations.