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Population Health Informaticist
Job in
City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listed on 2026-11-01
Listing for:
Alignerr
Full Time
position Listed on 2026-11-01
Job specializations:
-
Healthcare
AI Evaluation
Job Description & How to Apply Below
The Role
We're partnering with the world's leading AI research teams to build smarter, more accurate AI systems in the health and public health space. As a Population Health Informaticist, you'll bring your expertise in health data and analytics to help shape how AI understands, interprets, and communicates population-level health insights.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Collect, integrate, and evaluate population health datasets to identify trends, disparities, and opportunities for improved health outcomes
- Design and assess dashboards, data pipelines, and reporting frameworks that support monitoring and decision-making for population health initiatives
- Review and evaluate AI-generated health analytics outputs for accuracy, relevance, and clinical validity
- Translate complex data insights into clear, actionable findings and feedback
- Provide structured evaluations that help AI systems better understand population health concepts, terminology, and methodology
- Experienced working with healthcare, public health, or population-level datasets
- Skilled in data analysis and visualization, with hands-on experience using dashboards and reporting tools
- Able to identify nuance, errors, or gaps in health data outputs and communicate findings clearly
- Comfortable working independently and asynchronously on task-based projects
- Detail-oriented with a commitment to accuracy and data quality
- Experience in epidemiology, biostatistics, or public health informatics
- Familiarity with data annotation, data quality assurance, or evaluation workflows
- Background working with EHR systems, claims data, or surveillance databases
- Prior exposure to AI or machine learning projects in a health context
- Work on cutting-edge AI projects alongside top research labs and teams
- Fully remote and flexible — set your own schedule and work when it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that shapes how AI handles population health — with real-world implications
- Potential for ongoing work and contract extension
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