More jobs:
Population Health Informaticist
Job in
Aberdeen, Aberdeen City Area, AB10, Scotland, UK
Listed on 2026-08-09
Listing for:
Alignerr
Full Time
position Listed on 2026-08-09
Job specializations:
-
Healthcare
AI Evaluation
Job Description & How to Apply Below
Population Health Informaticist (AI Training) About The Role
We partner with the world's leading AI research teams to build smarter, more accurate AI systems. As a Population Health Informaticist, your expertise will directly shape how AI understands and reasons about public health data, community health trends, and population-level interventions.
This is a unique opportunity to apply your public health and data skills to cutting-edge AI projects — fully remote, on a flexible schedule that works for you.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Evaluate and improve AI-generated content related to population health, epidemiology, and public health data analysis
- Collect, integrate, and assess population health metrics to identify trends, disparities, and opportunities for improving outcomes
- Review AI outputs for accuracy, clinical relevance, and analytic soundness
- Design and critique dashboards, data pipelines, and reporting frameworks used in population health surveillance and decision-making
- Translate complex analytical insights into clear, actionable feedback that helps AI produce better health-focused content
- Provide structured, expert-level assessments using defined evaluation criteria
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with hands‑on data visualization and reporting skills
- Able to bridge the gap between complex data and clear, actionable insights for diverse stakeholders
- Detail‑oriented, reliable, and comfortable working independently and asynchronously
- Passionate about health equity and improving outcomes across communities
- Prior experience with data annotation, data quality assessment, or evaluation frameworks
- Background in epidemiology, biostatistics, health informatics, or a related field
- Familiarity with tools such as Tableau, Power BI, R, Python, or similar analytics platforms
- Experience working with EHR systems, claims data, or public health surveillance datasets
- Work on meaningful AI projects with real-world public health impact
- Fully remote and flexible — set your own hours and workload
- Collaborate with experts and researchers across the globe
- Freelance autonomy with the backing of a world-class AI research network
- Potential for ongoing work and contract extension as new projects launch
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