Health Informatics Analyst
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Manchester, England, United Kingdom
Summary: The Health Informatics Analyst role involves collaborating with AI research labs to enhance AI systems in healthcare by leveraging clinical data expertise. The position focuses on evaluating and annotating AI outputs to improve their accuracy and relevance in medical contexts. This is a fully remote, flexible contract role that allows for a commitment of 10–40 hours per week.
Key Responsibilities:
- Analyze and evaluate AI-generated content related to healthcare data, EHR systems, and clinical workflows
- Review and assess the accuracy, quality, and clinical relevance of AI outputs using structured evaluation criteria
- Identify errors, inconsistencies, or gaps in AI-generated health informatics content and provide detailed feedback
- Apply knowledge of health information systems, data pipelines, and clinical reporting to validate AI reasoning
- Contribute insights that help AI models better understand complex healthcare data environments
Key Skills:
- Experienced working with healthcare data, EHR systems, or clinical reporting platforms
- Strong analytical thinker with a solid grasp of data visualization, reporting, and trend analysis
- Able to communicate complex clinical and technical concepts clearly in writing
- Comfortable working independently and asynchronously on structured tasks
- Detail-oriented with a commitment to accuracy and data quality
- Prior experience with data annotation, data labeling, or AI evaluation workflows (nice to have)
- Background collaborating across clinical, IT, and operational teams (nice to have)
- Familiarity with health data standards such as HL7, FHIR, or ICD coding systems (nice to have)
Salary (Rate): £30.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Health Informatics Analyst (AI Training)
About The Role
We're partnering with leading AI research labs to build smarter, more accurate AI systems — and we need healthcare informatics professionals to help get there. As a Health Informatics Analyst, you'll apply your clinical data expertise to evaluate, annotate, and improve AI outputs in the healthcare domain, directly influencing how next-generation AI understands medical information. This is a fully remote, flexible contract role that fits around your schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Analyze and evaluate AI-generated content related to healthcare data, EHR systems, and clinical workflows
- Review and assess the accuracy, quality, and clinical relevance of AI outputs using structured evaluation criteria
- Identify errors, inconsistencies, or gaps in AI-generated health informatics content and provide detailed feedback
- Apply your knowledge of health information systems, data pipelines, and clinical reporting to validate AI reasoning
- Contribute insights that help AI models better understand complex healthcare data environments
Who You Are
- Experienced working with healthcare data, EHR systems, or clinical reporting platforms
- Strong analytical thinker with a solid grasp of data visualization, reporting, and trend analysis
- Able to communicate complex clinical and technical concepts clearly in writing
- Comfortable working independently and asynchronously on structured tasks
- Detail-oriented with a commitment to accuracy and data quality
Nice to Have
- Prior experience with data annotation, data labeling, or AI evaluation workflows
- Background collaborating across clinical, IT, and operational teams
- Familiarity with health data standards such as HL7, FHIR, or ICD coding systems
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, anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Gain exposure to advanced large language models (LLMs) and how they're trained
- Meaningful work that shapes how AI performs in high-stakes healthcare contexts
- Potential for ongoing work and contract extension