Remote Population Health Data Analyst for AI Training

Alignerr Corp.; City of Edinburgh; À distance; GBP 55 000 - 96 000; Plein temps

Avantages offerts par ce poste

Autonomy

Global collaboration

Résumé du poste

Alignerr is seeking a Population Health Informaticist for AI training in health analytics. You will collect and evaluate population health data, design dashboards, and assess AI outputs to ensure clinical relevance.

This remote, hourly contract offers 10–40 hours per week and flexible scheduling, with opportunities to influence how AI systems interpret population health data across projects.

Qualifications

• Experience with healthcare or population-level datasets.
• Skilled in data analysis and visualization.
• Able to identify data quality gaps and communicate findings clearly.
• Comfortable working independently on task-based projects.
• Detail-oriented with a commitment to data quality.

Responsabilités

• 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.

Connaissances

Healthcare data analysis

Data visualization

Population health datasets

Independent work

Clinical validation

Description du poste

Alignerr is seeking a Population Health Informaticist for AI training in health analytics. You will collect and evaluate population health data, design dashboards, and assess AI outputs to ensure clinical relevance.

This remote, hourly contract offers 10–40 hours per week and flexible scheduling, with opportunities to influence how AI systems interpret population health data across projects.