Population Health Informaticist

Alignerr Corp.; San Antonio (TX); Remote; USD 83,000 - 138,000; Part time

Benefits offered by this job

Autonomy

Variety of projects

Global collaboration with experts

Job summary

Alignerr is seeking a Population Health Informaticist (AI Training) for a fully remote hourly contract. You will analyze population health data to improve AI models, evaluate outputs for accuracy and clinical relevance, and provide structured feedback on data pipelines and dashboards.

The role suits someone with healthcare/public health data experience, strong analytics, and the ability to communicate insights to diverse stakeholders, working independently in an asynchronous setting.

Qualifications

• Experience with healthcare/public health datasets.
• Strong analytical and data visualization skills.
• Ability to communicate complex insights to stakeholders.

Responsibilities

• Analyze population-level health data to identify trends, disparities, and intervention opportunities.
• Assess AI-generated health insights for clinical relevance and real-world applicability.
• Review data pipelines, dashboards, and reporting frameworks used in population health.
• Translate complex health data concepts into actionable guidance for AI model quality.
• Help ensure AI systems reflect public health nuances in decision-making.

Skills

Healthcare data analysis

Data visualization

Communication of insights

Education

Epidemiology, biostatistics, or health informatics background

Job description

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate health-focused AI systems — and we need your expertise to make it happen. As a Population Health Informaticist, you'll apply your knowledge of large-scale health data to evaluate, refine, and improve how AI understands population health trends, disparities, and outcomes.

This is a fully remote, flexible contract role that lets you contribute to meaningful work at the intersection of public health and cutting-edge AI.

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

What You'll Do

• Analyze and evaluate population-level health data to identify trends, disparities, and opportunities for intervention
• Assess AI-generated health insights and outputs for accuracy, clinical relevance, and real-world applicability
• Review and provide structured feedback on data pipelines, dashboards, and reporting frameworks used in population health contexts
• Translate complex health data concepts into clear, actionable guidance that improves AI model quality
• Help ensure AI systems reflect the nuances of public health surveillance, equity, and decision-making

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with solid data visualization and reporting skills
• Able to communicate complex data insights clearly to diverse stakeholders
• Detail-oriented and comfortable working independently in an asynchronous environment
• Passionate about using data to drive better health outcomes

Nice to Have

• Experience with data annotation, data quality assessment, or evaluation frameworks
• Background in epidemiology, biostatistics, health informatics, or a related field
• 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 teams
• Fully remote and flexible — work on your own schedule
• Apply your public health expertise to problems that matter at a global scale
• Freelance perks: autonomy, variety, and collaboration with experts worldwide
• Potential for ongoing work and contract extension