Population Health Informaticist

Evaluate AI-generated content

• Evaluate AI-generated content related to population health data, analytics, and public health strategies for accuracy and quality
• Identify gaps, errors, or oversimplifications in how AI interprets health trends and disparities

Provide feedback

• Provide structured, expert feedback on analytical reasoning, data interpretation, and health informatics concepts

Assess AI outputs

• Review and assess AI outputs involving dashboards, data pipelines, and population health reporting frameworks
• Translate complex health data scenarios into clear, well-reasoned AI training examples

Work independently

• Work independently and asynchronously on your own schedule

Qualifications

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with a solid understanding of health informatics principles
• Skilled at data visualization, reporting, and communicating insights to diverse stakeholders
• Able to evaluate and critique health-related analytical content with precision
• Detail-oriented, self-motivated, and comfortable working independently

Nice to Have

• Nice to have background in epidemiology, biostatistics, or public health surveillance
• Experience with data annotation, quality assurance, or evaluation systems
• Familiarity with health data standards (e.g., HL7, FHIR, ICD coding)
• Prior work with AI, machine learning datasets, or health technology platforms