Medical Science Liaison (MSL)

Alignerr

Cincinnati (OH)

Remote

USD 55,000 - 110,000

Part time

13 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
Contract extension potential

Job summary

Alignerr is seeking experienced Medical Science Liaisons to train and evaluate AI systems in the life sciences. The role focuses on reviewing AI-produced medical content for accuracy, validating clinical data interpretation, and guiding improvements to ensure integrity in healthcare communications.

Remote hourly contract offering 10–40 hours/week, with flexible scheduling and potential for ongoing engagements.

Qualifications

  • Experienced Medical Science Liaisons or clinical educators with strong ability to interpret clinical data and publications.
  • Able to assess clinical trial data, literature, and regulatory documents for accuracy.
  • Experience in communicating complex scientific information to healthcare professionals.

Responsibilities

  • Review and evaluate AI-generated medical and clinical content for accuracy and clarity for HCP audiences.
  • Validate AI outputs against clinical trial data, literature, and regulatory materials.
  • Identify errors or gaps in AI-generated communications and provide feedback.
  • Contribute to QA across medical datasets and model outputs.
  • Apply HCP engagement experience to assess tone and clinical utility of AI responses.
  • Support quality assurance workflows in AI content evaluation.

Skills

MSL experience
Clinical data interpretation
HCP engagement
Medical communications
Asynchronous work

Tools

AI evaluation workflows
Medical content review

Job description

Medical Science Liaison (MSL) - AI Training

We're looking for experienced Medical Science Liaisons and clinical communications professionals to help train and evaluate AI systems built for the life sciences. Your deep understanding of clinical data, HCP engagement, and medical evidence is exactly what's needed to make AI smarter, more accurate, and trustworthy in healthcare contexts.

This is a unique opportunity to apply your MSL expertise beyond the field - shaping how AI understands and communicates complex biomedical information at scale.

  • 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 that AI outputs correctly interpret clinical trial data, medical literature, and regulatory materials
  • Identify errors, gaps, or misleading representations in AI-generated scientific communications
  • Provide structured feedback to improve how AI models handle complex biomedical topics
  • Apply your HCP engagement experience to assess tone, relevance, and clinical utility of AI responses
  • Contribute to quality assurance across medical datasets and model outputs
Who You Are
  • Current or former Medical Science Liaison, clinical educator, scientific advisor, or medical affairs professional
  • Strong ability to interpret and critically evaluate clinical trial data, publications, and regulatory documents
  • Experienced in communicating complex scientific information clearly and accurately to healthcare professionals
  • Detail-oriented with a commitment to scientific integrity
  • Comfortable working independently and asynchronously
  • No prior AI or data annotation experience required
Nice to Have
  • Experience in medical writing, data annotation, or content review
  • Background in regulatory affairs, pharmacovigilance, or HEOR
  • Familiarity with AI evaluation or quality assurance workflows
Why Join Us
  • Work on cutting-edge AI projects with leading research labs and life-science organizations
  • Fully remote and flexible - work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Expand your expertise into the fast-growing intersection of AI and life sciences
  • Potential for ongoing work and contract extension
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