Population Health Informaticist
Alignerr
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, shape, and improve AI systems designed to understand and act on population-level health information.
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, shape, and improve AI systems designed to understand and act on population-level health information.
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 analyses for accuracy, completeness, and clinical relevance
- Review and assess data pipelines, dashboards, and health reporting frameworks produced by AI systems
- Identify gaps, errors, or missed insights in AI outputs related to health trends, disparities, and community outcomes
- Provide structured, expert feedback that directly improves how AI models reason about population health
- Apply your domain knowledge to help AI understand complex public health concepts, surveillance data, and intervention strategies
Who You Are
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with the ability to evaluate data quality and identify meaningful patterns
- Skilled in data visualization and health reporting — familiar with dashboards and surveillance tools
- Able to translate complex health data into clear, actionable insights
- Detail-oriented and comfortable working independently on structured tasks
Nice to Have
- Background in epidemiology, biostatistics, public health informatics, or health policy
- Experience with data annotation, quality assurance, or evaluation workflows
- Familiarity with EHR systems, claims data, or social determinants of health datasets
- Prior work with AI or machine learning projects in a health context
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and health data teams
- Fully remote and asynchronous — work when and where it suits you
- Freelance perks: autonomy, flexibility, and meaningful global collaboration
- Apply your public health expertise to a domain that's shaping the future of AI-driven health decision-making
- Potential for ongoing work and contract extension
Vacancy posted 1 day ago
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