Population Health Informaticist

Evaluate and Improve AI Generated Content

Evaluate and improve AI-generated content related to population health, epidemiology, and health informatics.

Analyze and Interpret Population Health Metrics

• Identify trends, disparities, and opportunities for intervention in population health metrics.

Data Pipeline Review and Validation

• Review and validate data pipelines, dashboard logic, and reporting frameworks used in health surveillance and decision-making.

Expert Feedback and Actionable Insights

• Translate complex analytical findings into clear, actionable insights reflecting real-world public health practice.
• Provide structured expert feedback on AI outputs to improve accuracy, clinical relevance, and practical utility.

Independent Work and Asynchronous Schedule

• Work independently and asynchronously on your own schedule.

Qualifications

• Experienced working with healthcare, public health, or population-level datasets.
• Strong analytical thinker with hands-on experience in data visualization and reporting tools.
• Able to critically evaluate health data and identify when AI outputs are misleading, incomplete, or clinically unsound.
• Skilled at communicating complex data insights clearly for diverse stakeholders.
• Detail-oriented, reliable, and comfortable working with structured feedback systems.

Nice to Have

• Background in epidemiology, biostatistics, health informatics, or public health policy.
• Experience with data annotation, data quality evaluation, or AI training workflows.
• Familiarity with EHR systems, claims data, or population health platforms.
• Prior work in health equity, social determinants of health, or community health programs.