Population Health Informaticist

Evaluate AI-generated population health content

Evaluate AI-generated population health content, analysis, and insights for accuracy, completeness, and real-world applicability.

Review and assess data pipelines, dashboards, and reporting frameworks

Review and assess data pipelines, dashboards, and reporting frameworks modeled by AI for quality and soundness.

Identify gaps, errors, or misleading interpretations

• Identify gaps, errors, or misleading interpretations in AI outputs related to population health metrics and surveillance.

Provide structured expert feedback

Provide structured expert feedback that helps AI systems better understand health disparities, community-level trends, and intervention strategies.

Translate domain knowledge into clear, actionable evaluations

Translate your domain knowledge into clear, actionable evaluations that improve AI model performance in public health contexts.

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with the ability to evaluate data quality, methodology, and interpretation
• Skilled in data visualization and reporting — familiar with dashboards and analytics tools
• Able to communicate complex findings clearly and concisely
• Self-motivated and comfortable working independently on asynchronous tasks
• No prior AI or machine learning experience required

Nice to Have

• Experience with epidemiology, health equity research, or community health programs
• Background in data annotation, quality assurance, or evaluation systems
• Familiarity with public health surveillance frameworks or clinical data standards (e.g., ICD codes, HL7, FHIR)