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Medical Science Liaison (MSL)

Alignerr

Location not specified
Remote
Contract
Pharma & Biotech
Posted 8 Jul 2026

Job Description

Medical Science Liaison (MSL) — AI Training About The Role We're looking for experienced Medical Science Liaisons and medical affairs professionals to help train and validate cutting-edge AI systems built for the life sciences. Your clinical expertise will directly shape how AI understands, communicates, and reasons through complex biomedical and medical evidence — making a real-world impact on the future of healthcare AI.

This is a flexible, remote contract role designed to fit around your existing schedule.

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

What You'll Do

  • Review and evaluate AI-generated medical content for scientific accuracy, clinical relevance, and appropriate communication style
  • Apply your expertise to validate clinical trial summaries, medical evidence narratives, and healthcare-facing scientific communications
  • Identify gaps, errors, or misleading representations in AI outputs and provide structured, expert feedback
  • Help develop scientific communication frameworks that reflect real-world MSL standards and HCP engagement best practices
  • Ensure AI-generated biomedical content meets the standards expected of field-based medical professionals
  • Work independently and asynchronously on task-based assignments

Who You Are

  • Background in medical affairs, clinical research, or scientific communications with hands-on experience engaging healthcare professionals
  • Strong ability to interpret clinical data, medical publications, and regulatory materials
  • Experience in a field-based or externally facing medical role — such as Medical Science Liaison, clinical educator, medical advisor, or scientific communications specialist
  • High attention to detail and commitment to scientific integrity
  • Clear, structured written communication skills
  • No prior AI or data annotation experience required

Nice to Have

  • Prior experience with data annotation, content evaluation, or quality review systems
  • Familiarity with AI tools or interest in how scientific knowledge is applied in machine learning contexts
  • Experience across multiple therapeutic areas or disease states

Why Join Us

  • Work on cutting-edge AI projects partnered with leading life-science and AI research organizations
  • Fully remote and flexible — work on your own schedule, from anywhere
  • Freelance perks: autonomy, variety, and collaboration with a global network of experts
  • Contribute to meaningful work that advances how AI handles medical knowledge responsibly
  • Potential for ongoing work and contract extension

Interested in this role?

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