Population Health Informaticist

About The Role

We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health informaticists to help us get there. Your deep expertise in health data will directly shape how AI understands, analyzes, and communicates insights about population health.

This is a unique opportunity to apply your analytical skills at the intersection of public health and cutting-edge artificial intelligence.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Evaluate AI-generated population health analyses for accuracy, clinical relevance, and methodological soundness
• Work with large-scale health datasets to identify trends, disparities, and opportunities for intervention
• Review and improve AI outputs related to health surveillance, epidemiology, and outcomes research
• Design and assess data pipelines, dashboards, and reporting frameworks used in population health monitoring
• Translate complex analytical insights into structured, actionable feedback that improves AI model performance
• Flag errors in statistical reasoning, data interpretation, or public health conclusions generated by AI systems

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with a solid grasp of epidemiology, biostatistics, or health outcomes research
• Skilled in data visualization and familiar with dashboards or reporting tools
• Able to evaluate complex data and communicate findings clearly and precisely
• Self-motivated and comfortable working independently in a remote, asynchronous environment
• No prior AI experience required — your domain expertise is what matters

• Experience with data annotation, data quality assessment, or evaluation frameworks
• Background in public health informatics, clinical informatics, or health services research
• Familiarity with tools such as SQL, Python, R, Tableau, or similar platforms
• Experience working with EHR data, claims data, or national health survey datasets

• Work on meaningful AI projects with real-world implications for public health
• Fully remote and flexible — set your own schedule and work when it suits you
• Collaborate with world-class AI research teams and top health data professionals
• Freelance autonomy: no office politics, no rigid hours, just impactful work
• Potential for ongoing work and contract extension as projects evolve