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Health Informatics Analyst

Alignerr
Department:Data Analysis
Type:REMOTE
Region:UK
Location:Birmingham, England, United Kingdom
Experience:Entry level
Estimated Salary:£30,000 - £45,000
Skills:
HEALTH INFORMATICSEHR SYSTEMSHEALTHCARE DATA ANALYSISCLINICAL DATADATA ANNOTATIONDATA QUALITY ASSURANCEHEALTHCARE INTEROPERABILITYHL7FHIRCLINICAL INFORMATICSHEALTH ITPOPULATION HEALTH ANALYTICSAI TOOLSMACHINE LEARNING
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Job Description

Posted on: April 19, 2026

Health Informatics Analyst (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 Health Informatics Analysts to bring their clinical data expertise to the forefront of AI development. This is a unique opportunity to apply your knowledge of EHR systems, healthcare workflows, and health data analysis to help shape how AI understands and reasons about one of the most complex and impactful domains in the world — healthcare.

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

What You'll Do

  • Analyze and evaluate AI-generated healthcare content, data outputs, and clinical reasoning for accuracy and real-world validity
  • Apply your EHR and clinical data expertise to assess the quality of AI responses in health informatics contexts
  • Identify errors, inconsistencies, or gaps in AI-generated clinical and operational insights
  • Provide structured, expert feedback to help improve AI model performance in healthcare settings
  • Review and annotate healthcare datasets, reports, and system outputs using clear evaluation frameworks
  • Work independently and asynchronously on your own schedule

Who You Are

  • Hands-on experience working with healthcare data, EHR systems, or clinical reporting platforms
  • Strong analytical skills including data interpretation, trend analysis, and reporting
  • Ability to assess clinical and operational information with precision and context
  • Comfortable evaluating complex health information at scale
  • Strong written communication skills
  • Self-motivated and reliable with a high attention to detail

Nice to Have

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

Why Join Us

  • Work on cutting-edge AI projects with top research labs and AI teams
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that improves how AI performs in critical healthcare contexts
  • Potential for ongoing work and contract extension
Originally posted on LinkedIn

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