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Population Health Informaticist

$35-75/hrRemoteFreelanceSTEM

About the Role

We're partnering with the world's leading AI research teams to build smarter, more accurate health intelligence systems — and we need population health experts to make it happen.

As a Population Health Informaticist, you'll apply your expertise in health data, analytics, and public health strategy to evaluate and improve AI models that work with population-level information. Your domain knowledge will directly shape how AI understands health trends, disparities, and outcomes across communities.

This is a fully remote, flexible contract role — work on your schedule, on projects that matter.

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

What You'll Do

  • Evaluate AI-generated population health content, analysis, and insights for accuracy, completeness, and real-world applicability
  • Review and assess data pipelines, dashboards, and reporting frameworks modeled by AI for quality and soundness
  • Identify gaps, errors, or misleading interpretations in AI outputs related to population health metrics and surveillance
  • Provide structured expert feedback that helps AI systems better understand health disparities, community-level trends, and intervention strategies
  • Translate your domain knowledge into clear, actionable evaluations that improve AI model performance in public health contexts

Who You Are

  • Experienced working with healthcare, public health, or population-level datasets
  • Strong analytical thinker with the ability to evaluate data quality, methodology, and interpretation
  • Skilled in data visualization and reporting — familiar with dashboards and analytics tools
  • Able to communicate complex findings clearly and concisely
  • Self-motivated and comfortable working independently on asynchronous tasks
  • No prior AI or machine learning experience required

Nice to Have

  • Experience with epidemiology, health equity research, or community health programs
  • Background in data annotation, quality assurance, or evaluation systems
  • Familiarity with public health surveillance frameworks or clinical data standards (e.g., ICD codes, HL7, FHIR)

Why Join Us

  • Work on meaningful AI projects with real public health implications
  • Fully remote and async — work when and where it suits you
  • Collaborate with a global network of experts and researchers
  • Leverage your existing expertise in a high-impact, cutting-edge field
  • Potential for ongoing work and contract extension