Population Health Informaticist

Alignerr Corp.; City of Edinburgh; On-site; GBP 62,000 - 125,000; Full time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking a Population Health Informaticist (AI Training) to collect, integrate, and evaluate population health datasets, building dashboards and reporting frameworks to monitor health outcomes. You will review AI-generated health analytics for accuracy and relevance, translating insights into actionable feedback for improved AI understanding.

The role is remote, hourly, and task-based with flexible scheduling and potential ongoing engagements across global teams.

Qualifications

• Experience with healthcare/public health datasets.
• Hands-on with dashboards and reporting tools.
• Ability to identify gaps or errors in health data outputs and communicate findings.
• Ability to work independently and asynchronously on task-based projects.

Responsibilities

• 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

Skills

Healthcare data analysis

Data visualization

Dashboard design

Independent work

Data quality awareness

Job description

Population Health Informaticist (AI Training)

About 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. This is a meaningful opportunity to apply your skills at the intersection of public health and cutting-edge AI — fully remote, on a flexible schedule that works for you.

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

What You'll Do

• 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

Who You Are

• 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

Nice to Have

• 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

Why Join Us

• 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