Population Health Informaticist

Alignerr Corp.; Sydney; Remote; AUD 55,000 - 124,000; Part time

Job summary

Alignerr is seeking a Population Health Informaticist to help train health AI systems. You will evaluate AI outputs, collect and assess population health metrics, and validate dashboards and data pipelines used for health monitoring.

This role requires experience with healthcare data, strong data visualization skills, and the ability to translate insights for diverse stakeholders. Work is fully remote as an hourly contract (10–40 hours per week), offering flexible scheduling and the chance to

Qualifications

• Experienced working with healthcare, public health, or population-level datasets.
• Skilled in data analysis and visualization, including dashboards and reporting tools.
• Able to translate complex data into clear, actionable insights for diverse stakeholders.
• Detail-oriented with strong written communication skills.
• Comfortable working independently and asynchronously on flexible task-based assignments.

Responsibilities

• Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy, quality, and relevance.
• Collect, integrate, and assess population health metrics to identify trends, disparities, and intervention opportunities.
• Review and validate AI-designed dashboards, data pipelines, and reporting frameworks used for health monitoring and surveillance.
• Translate complex analytical insights into clear, actionable feedback that improves AI reasoning on population health topics.
• Identify gaps, errors, or misleading conclusions in AI-generated health analyses and suggest evidence-based corrections.

Skills

Healthcare data analysis

Data visualization

Stakeholder communication

Independent / asynchronous work

Tools

Dashboards/Reporting tools

Job description

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research labs 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, improve, and shape AI systems designed to understand and act on population-level health information. Your insights will directly influence how AI interprets health trends, identifies disparities, and supports evidence-based decisions at scale. This is a rare opportunity to do meaningful work that sits at the intersection of public health and cutting-edge AI development.

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

What You'll Do

• Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy, quality, and relevance
• Collect, integrate, and assess population health metrics to identify trends, disparities, and intervention opportunities
• Review and validate AI-designed dashboards, data pipelines, and reporting frameworks used for health monitoring and surveillance
• Translate complex analytical insights into clear, actionable feedback that improves AI reasoning on population health topics
• Identify gaps, errors, or misleading conclusions in AI-generated health analyses and suggest evidence-based corrections

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Skilled in data analysis and visualization, including dashboards and reporting tools
• Able to translate complex data into clear, actionable insights for diverse stakeholders
• Detail-oriented with strong written communication skills
• Comfortable working independently and asynchronously on flexible task-based assignments

Nice to Have

• Background in epidemiology, biostatistics, health informatics, or public health policy
• Prior experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with AI or machine learning workflows in a health context

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and data science teams
• Fully remote and flexible — set your own schedule and work when it suits you
• Freelance autonomy with the opportunity to contribute to impactful, mission-driven work
• Exposure to advanced data and analytics platforms shaping the future of health AI
• Potential for ongoing work and contract extension based on performance