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Health Informatics Analyst

Alignerr
Department:Healthcare
Type:REMOTE
Region:Vancouver, British Columbia
Location:Vancouver, British Columbia, Canada
Experience:Mid-Senior level
Estimated Salary:CAD60,000 - CAD90,000
Skills:
EHR SYSTEMSHEALTHCARE DATA ANALYSISDATA INTERPRETATIONCLINICAL INFORMATICSHL7FHIRICD CODINGDATA ANNOTATIONDATA QUALITY ASSURANCE
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Job Description

Posted on: July 9, 2026

Health Informatics Analyst (AI Training)About The Role Your expertise in healthcare data and EHR systems is in high demand — not just in hospitals, but on the cutting edge of AI. At Alignerr, we partner with the world's leading AI research labs to build smarter, more accurate AI models. As a Health Informatics Analyst, you'll apply your clinical data knowledge to help train and evaluate AI systems that are transforming how healthcare information is understood and used. This is a fully remote, flexible contract role that lets you contribute to meaningful AI work on your own schedule.

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

What You'll Do

  • Analyze and interpret healthcare and EHR data to identify trends, gaps, and opportunities for improvement
  • Evaluate AI-generated outputs related to clinical workflows, health information systems, and operational data for accuracy and quality
  • Assess and provide structured feedback on data pipelines, reporting tools, and health informatics content
  • Prepare clear, well-reasoned evaluations and recommendations based on your domain expertise
  • Collaborate asynchronously with a global team of subject matter experts and AI researchers

Who You Are

  • Experienced working with healthcare data, EHR systems, or clinical reporting platforms
  • Strong analytical thinker with skills in data interpretation, reporting, and trend analysis
  • Able to communicate complex clinical and operational findings in clear, structured formats
  • Comfortable working independently on task-based assignments
  • Detail-oriented with a commitment to data accuracy and quality

Nice to Have

  • Experience with data annotation, data quality assurance, or evaluation workflows
  • Familiarity with health IT standards (HL7, FHIR, ICD coding, etc.)
  • Background in clinical informatics, population health, or healthcare analytics
  • Prior exposure to AI or machine learning projects

Why Join Us

  • Work on cutting-edge AI projects with top research labs and teams
  • Fully remote and flexible — work when and where it suits you
  • Freelance perks: autonomy, variety, and global collaboration
  • Put your specialized healthcare expertise to work in a high-impact, forward-looking field
  • Potential for ongoing work and contract extension
Originally posted on LinkedIn

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