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Population Health Informaticist

  • Vancouver, British Columbia, Canada
  • Remote
  • Posted Oct 29, 2026
  • 1 position

US$35–US$75 / hour

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Employment type
Contract
Experience level
Mid-level · 2+ years
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Vancouver, British Columbia, Canada
Seniority
Entry level

Job summary

Evaluate and improve AI-generated analyses of population health data, identifying errors and gaps in findings about health trends, disparities, and community outcomes. Provide expert feedback on data pipelines, dashboards, and surveillance frameworks, applying public health and informatics expertise to guide AI systems.

Job details

Population Health Informaticist (AI Training) About The Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to apply their expertise to AI projects focused on improving how intelligent systems understand, analyze, and act on population-level health data. Your domain knowledge will directly shape the quality and accuracy of AI tools built for public health — meaningful work that extends beyond the screen. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Evaluate and improve AI-generated analyses of population health datasets for accuracy, depth, and clinical relevance Identify gaps, errors, or misinterpretations in AI outputs related to health trends, disparities, and community outcomes Provide structured expert feedback on data pipelines, dashboard logic, and health surveillance frameworks Apply your knowledge of epidemiology, health equity, and public health informatics to guide AI reasoning Work independently and asynchronously on task-based assignments — fully on your own schedule Who You Are Experienced working with healthcare, public health, or population-level datasets Skilled in data analysis, visualization, or health informatics tools and reporting frameworks Able to translate complex analytical findings into clear, actionable insights Detail-oriented with strong written communication skills Comfortable evaluating and critiquing technical health data work at scale Nice to Have Background in epidemiology, biostatistics, public health, or health informatics Experience with data annotation, quality assurance, or evaluation systems Familiarity with AI or machine learning workflows in a health context Prior work in health equity, surveillance systems, or population health management Why Join Us Work on cutting-edge AI projects with top research labs shaping the future of health AI Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and collaboration with a global expert community Apply your expertise to projects that have real public health significance Potential for ongoing work and contract extension

What you’ll do

Evaluate and improve AI-generated analyses of population health data, identifying errors and gaps in findings about health trends, disparities, and community outcomes. Provide expert feedback on data pipelines, dashboards, and surveillance frameworks, applying public health and informatics expertise to guide AI systems.

Requirements

Candidates should have experience with healthcare, public health, or population-level datasets and skills in data analysis, visualization, or health informatics tools and reporting. They should be able to communicate complex findings clearly, critique technical work carefully, and work independently; backgrounds in epidemiology, biostatistics, public health, or health informatics are preferred.

Benefits

  • Flexible Schedule
  • Remote Work
  • Autonomy
  • Varied Projects
  • Global Expert Community
  • Potential for Ongoing Work and Contract Extension

Listed skills

  • Data visualization · Preferred
  • written communication · Preferred
  • Quality assurance · Preferred
  • Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Population Health Informatics
  • Public Health
  • Epidemiology
  • Health Equity
  • Biostatistics
  • Data Analysis
  • Data Visualization
  • Healthcare Data
  • Population-Level Data
  • Health Surveillance
  • Dashboard Logic
  • Data Pipelines
  • Quality Assurance
  • Data Annotation
  • AI Evaluation
  • Written Communication

Job areas

  • Healthcare
  • Data & Analytics
  • Technology
  • Science & Research

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