Medical Science Liaison (MSL)

Alignerr Corp.

Germany

Remote

EUR 83,000 - 138,000

Part time

2 hours ago
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Benefits offered by this job

Autonomy
Flexible schedule

Job summary

Alignerr is seeking experienced Medical Science Liaisons and clinical scientists to help evaluate and improve AI systems for life science and healthcare applications. You will shape how AI interprets complex biomedical information and communicates it to clinical audiences, working remotely on a flexible schedule.

Ideal candidates have backgrounds in medical affairs or clinical research, with hands-on experience engaging healthcare professionals.

Qualifications

  • Background in medical affairs, clinical research, or scientific communications.
  • MSL experience or engagement with healthcare professionals.
  • Ability to interpret clinical publications and trial data.
  • Attention to accuracy and scientific integrity.

Responsibilities

  • Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness.
  • Validate interpretation of clinical trial data, safety information, and biomedical concepts.
  • Identify errors or gaps in AI-generated scientific narratives.
  • Provide structured expert feedback to improve AI model outputs in life-science domains.
  • Assess how well AI conveys information to clinical audiences.
  • Work independently and asynchronously on your own schedule.

Skills

Medical affairs experience
MSL engagement
Clinical data interpretation
Healthcare communication
Detail-oriented
Independent/async work

Education

Advanced degree in medicine, pharmacy, life sciences

Tools

Data annotation tools
Familiarity with AI tools in healthcare

Job description

Medical Science Liaison (MSL) — AI Training

We're looking for experienced Medical Science Liaisons and clinical scientists to help evaluate and improve AI systems being developed for life science and healthcare applications. Your deep knowledge of clinical data, medical evidence, and healthcare communication will directly shape how AI understands and communicates complex biomedical information.

This is a unique opportunity to apply your MSL expertise beyond the field — and contribute to technology that could transform how scientific knowledge is accessed and used globally.

  • 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 that complex clinical trial data, safety information, and biomedical concepts are correctly interpreted and communicated
  • Identify errors, misrepresentations, or gaps in AI-generated scientific narratives
  • Provide structured expert feedback to improve AI model outputs in medical and life-science domains
  • Apply your healthcare communication expertise to assess how well AI conveys information to clinical audiences
  • Work independently and asynchronously on your own schedule
Who You Are
  • Background in medical affairs, clinical research, or scientific communications
  • Hands‑on experience engaging healthcare professionals as an MSL, clinical educator, or scientific advisor
  • Strong ability to interpret clinical publications, trial data, and regulatory materials
  • Comfortable evaluating scientific content quality at scale
  • Detail‑oriented with a commitment to accuracy and scientific integrity
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, content evaluation, or quality review workflows
  • Familiarity with AI tools or language model applications in healthcare
  • Advanced degree in medicine, pharmacy, life sciences, or a related field (MD, PharmD, PhD)
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
  • Apply your specialized expertise in a high‑impact, forward‑looking domain
  • Contribute to AI systems that could improve how medical knowledge is understood and shared worldwide
  • Potential for ongoing work and contract extension
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