Data Integration Specialist (Multiple Openings)

• Lead system-level discovery and stewardship of IHME's data, leveraging the Global Health Data Exchange (GHDx) and emerging technologies to identify data availability patterns and gaps.
• Develop and maintain dashboards and reports providing actionable insights into data quality, coverage, and usage trends.
• Drive novel approaches to data discovery and ingest, systematizing workflows and using AI-assisted tools to improve efficiency.
• Collaborate with research teams to evaluate data landscapes, run quality diagnostics, and secure critical datasets.

This role ensures that IHME's research is powered by comprehensive, reliable, and strategically managed data, enabling timely and scientifically valid evidence to improve health policy and practice globally.

• Bachelor's degree in social sciences, engineering, computer science, or related field and four years of experience in data quality assessments or coding for data workflows using Python or R.
• Demonstrated experience working with structured and unstructured data, including data cleaning, transformation, and annotation.
• Basic coding skills in Python or R and ability to generate, adapt, and validate code.
• Demonstrated ability using business intelligence approaches for developing summary reports or dashboards, modeling data relationships, and visualizing trends.

This is a fixed-term position at the University of Washington. Salary is not explicitly stated. Benefits include working in a collaborative research environment, potential for remote work within the US, and the opportunity to contribute to global health impact.

The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington, delivering timely, relevant, and scientifically valid evidence to improve health policy and practice worldwide.