Medical Science Liaison (MSL)

Alignerr Corp.; Greater London; Remote; GBP 83,000 - 124,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking experienced Medical Science Liaisons to evaluate and improve AI-trained biomedical content. You will review AI-generated medical summaries, validate trial interpretations, and ensure alignment with current evidence and regulatory standards.

This is a remote hourly contract with flexible scheduling for qualified MSL professionals. Ideal candidates have a background in medical affairs or scientific communications, with experience engaging HCPs and translating complex data into

Qualifications

• Background in medical affairs, clinical research, or scientific communications
• Experienced engaging with healthcare professionals (HCPs) in field-based or advisory capacity
• Strong ability to interpret clinical trial data, publications, and regulatory materials
• Skilled at translating complex scientific information into clear, accurate, and actionable language
• Detail-oriented with a commitment to scientific integrity
• Prior experience as an MSL, clinical educator, or scientific advisor strongly preferred

Responsibilities

• Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness
• Validate clinical data summaries, trial interpretations, and biomedical narratives produced by AI models
• Identify errors, misrepresentations, or gaps in scientific reasoning and suggest improvements
• Ensure AI outputs align with current medical evidence, regulatory standards, and HCP communication best practices
• Provide structured, expert feedback using clear evaluation frameworks
• Work independently and asynchronously on your own schedule

Job description

Medical Science Liaison (MSL) — AI Training

About The Role

We're looking for experienced Medical Science Liaisons and clinical communications professionals to help evaluate and improve AI systems trained on biomedical and clinical content. Your scientific expertise will directly shape how AI understands, interprets, and communicates complex medical information — making a real-world impact on the future of healthcare AI.

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

What You'll Do

• Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness
• Validate clinical data summaries, trial interpretations, and biomedical narratives produced by AI models
• Identify errors, misrepresentations, or gaps in scientific reasoning and suggest improvements
• Ensure AI outputs align with current medical evidence, regulatory standards, and HCP communication best practices
• Provide structured, expert feedback using clear evaluation frameworks
• Work independently and asynchronously on your own schedule

Who You Are

• Background in medical affairs, clinical research, or scientific communications
• Experienced engaging with healthcare professionals (HCPs) in a field-based or advisory capacity
• Strong ability to interpret clinical trial data, publications, and regulatory materials
• Skilled at translating complex scientific information into clear, accurate, and actionable language
• Detail-oriented with a commitment to scientific integrity
• Prior experience as an MSL, clinical educator, or scientific advisor strongly preferred

Nice to Have

• Experience with data annotation, content evaluation, or AI quality review workflows
• Familiarity with medical writing, evidence synthesis, or regulatory submissions
• Exposure to real-world evidence (RWE) or health outcomes research

Why Join Us

• Work on cutting-edge AI projects alongside leading AI research teams and life-science organizations
• Fully remote and flexible — work on your schedule, on your terms
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI handles medical knowledge
• Potential for ongoing work and contract extension