Population Health Informaticist

Analyzing and Evaluating

• Analyze and evaluate population-level health datasets to identify trends, disparities, and opportunities for intervention
• Assess AI-generated health insights and outputs for accuracy, relevance, and real-world applicability
• Design and review dashboards, data pipelines, and reporting frameworks used in health surveillance and decision-making
• Translate complex analytical findings into clear, actionable feedback that improves AI model performance
• Contribute to data quality evaluation and annotation workflows within population health contexts

Who You Are

• Experienced with healthcare, public health, or population-level datasets
• Strong analytical thinker with hands-on experience in data visualization and reporting tools
• Able to bridge the gap between raw data and meaningful insights for diverse stakeholders
• Detail-oriented with a commitment to accuracy and data integrity
• Self-motivated and comfortable working independently in an asynchronous environment

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation systems
• Background in epidemiology, public health informatics, or health policy
• Familiarity with AI or machine learning workflows in healthcare settings