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

Designing and Reviewing

• Create and review dashboards, data pipelines, and reporting frameworks used in health surveillance and decision-making
• Develop and refine data quality evaluation and annotation workflows within population health contexts

Translating Findings

Translate complex analytical findings into clear, actionable feedback that improves AI model performance

Contributing to Data Quality

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