Medical Science Liaison (MSL)

Alignerr Corp.

Salt Lake City (UT)

Remote

USD 83,000 - 165,000

Full time

7 days ago
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Benefits offered by this job

Autonomy
Variety
Global collaboration

Job summary

Alignerr is seeking experienced Medical Science Liaisons to help train and validate AI systems for life-science and medical applications. Use your expertise translating complex clinical data into clear, accurate communications for AI reviewers and healthcare professionals.

The role is remote, hourly, 10–40 hours per week, focusing on reviewing AI-generated medical content, evaluating scientific accuracy, and providing expert feedback to improve AI medical reasoning.

Qualifications

  • Background in medical affairs, clinical research, or scientific communications with healthcare professional engagement.
  • Ability to interpret clinical data, literature, and regulatory materials.
  • Experience in field-based medical roles such as MSL, clinical educator, or scientific advisor.
  • Comfort evaluating written medical content at scale with attention to science.

Responsibilities

  • Review AI-generated medical content for accuracy, clarity, and healthcare audience suitability.
  • Validate medical summaries, trial interpretations, and narratives produced by AI models.
  • Identify errors or gaps in scientific reasoning and provide expert feedback.
  • Assess whether AI outputs meet medical affairs standards for real-world use.
  • Work independently on task-based assignments with asynchronous communication.

Skills

Medical affairs experience
Clinical data interpretation
Scientific communication
Written communication

Education

Advanced degree in life-science/clinical discipline

Tools

AI review workflows familiarity

Job description

Medical Science Liaison (MSL) — AI Training
About The Role

We're looking for experienced Medical Science Liaisons and clinical science professionals to help train and validate AI systems being developed for life-science and medical applications. Your expertise in translating complex clinical data into clear, accurate communication is exactly what's needed to ensure AI gets medicine right.

This is a unique opportunity to apply your MSL skill set in a cutting-edge AI context — reviewing medical content, evaluating scientific accuracy, and helping shape how AI understands and communicates biomedical information.

  • 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 for healthcare professional audiences
  • Validate medical summaries, clinical trial interpretations, and biomedical narratives produced by AI models
  • Identify errors, misrepresentations, or gaps in scientific reasoning and provide structured, expert feedback
  • Apply your HCP communication expertise to assess whether AI outputs meet real-world medical affairs standards
  • Work independently and asynchronously on task-based assignments
Who You Are
  • Background in medical affairs, clinical research, or scientific communications with experience engaging healthcare professionals
  • Strong ability to interpret clinical data, published literature, and regulatory materials
  • Experience in a field-based or externally facing medical role such as Medical Science Liaison, clinical educator, or scientific advisor
  • Comfortable evaluating written medical content at scale with attention to scientific detail
  • Self-motivated and reliable with clear written communication skills
Nice to Have
  • Prior experience with data annotation, content evaluation, or AI review workflows
  • Advanced degree in a life-science, pharmacy, or clinical discipline (PharmD, MD, PhD, or equivalent)
  • Familiarity with therapeutic area-specific clinical evidence and standard-of-care guidelines
Why Join Us
  • Work on cutting-edge AI projects at the intersection of medicine and technology
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that improves how AI handles medical and scientific information
  • Potential for ongoing work and contract extension
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