Population Health Informaticist

What You'll Do

• Evaluate and provide expert feedback on AI-generated population health analyses, dashboards, and data strategies
• Identify errors, gaps, or misleading conclusions in AI outputs related to health trends, disparities, and outcome metrics
• Review and assess the quality of AI-designed data pipelines, surveillance frameworks, and reporting structures
• Translate complex analytical scenarios into clear, structured feedback that helps AI systems reason more accurately about public health
• Work independently and asynchronously on flexible, task-based assignments

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with the ability to spot flawed methodology or misleading data interpretations
• Skilled in data visualization, dashboards, and health reporting frameworks
• Able to communicate complex insights clearly and concisely in writing
• Detail-oriented and self-motivated — comfortable working independently

Nice to Have

• Background in epidemiology, biostatistics, public health informatics, or health data science
• Experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with AI workflows or model evaluation processes
• Prior work with surveillance systems, EHR platforms, or population health management tools