Medical Science Liaison (MSL)

Alignerr; Christchurch; Remote; GBP 69,000 - 124,000; Part time

Job summary

Alignerr is seeking Medical Science Liaisons for AI training, remote and hourly contracted. You will review AI-generated medical content for accuracy, interpret trial data, and provide expert feedback to improve how AI interprets complex medical information.

This is a flexible, part‑time engagement designed for professionals with clinical expertise and strong scientific communication. Role emphasizes working asynchronously, with 10–40 hours per week, enabling experienced MSLs to contribute

Qualifications

• Requires background in medical affairs or clinical research.
• Ability to interpret trial data and regulatory materials.
• Experience engaging healthcare professionals is essential.

Responsibilities

• Review AI-generated medical content for accuracy and clarity.
• Validate summaries and narratives against evidence.
• Identify errors and provide expert feedback.

Skills

Medical affairs

Clinical research

Scientific communications

Healthcare professional engagement

Regulatory understanding

Education

PhD in Life Sciences

MD/PharmD

Pharma or medical degree

Job description

Medical Science Liaison (MSL) — AI Training

We're looking for experienced Medical Science Liaisons to help evaluate and improve AI systems built for the life-science and healthcare space. Your clinical knowledge and scientific communication expertise will directly shape how AI understands, interprets, and conveys complex medical data — making a real impact on the future of healthcare AI.

Medical Science Liaison (MSL) — AI Training

About The Role

We're looking for experienced Medical Science Liaisons to help evaluate and improve AI systems built for the life-science and healthcare space. Your clinical knowledge and scientific communication expertise will directly shape how AI understands, interprets, and conveys complex medical data — making a real impact on the future of healthcare AI. This is a remote, flexible contract role designed for working medical affairs professionals, clinical researchers, and scientific communicators who want to apply their expertise in a new and high-impact way.

• 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 (HCP) audiences
• Validate clinical summaries, trial interpretations, and biomedical narratives against current evidence and regulatory standards
• Identify errors, gaps, or misleading representations in AI outputs and provide structured, expert feedback
• Help develop and refine scientific communication strategies embedded in AI training datasets
• Contribute to quality assurance processes that ensure medical integrity across AI models and outputs
• Work independently and asynchronously on your own schedule

Who You Are

• Background in medical affairs, clinical research, or scientific communications with direct experience engaging healthcare professionals
• Strong ability to interpret clinical trial data, peer-reviewed publications, and regulatory materials
• Experience in a field-based or externally facing medical role — MSL, clinical educator, medical monitor, or scientific advisor
• Comfortable evaluating and critiquing complex biomedical content at scale
• Detail-oriented, self-motivated, and reliable

Nice to Have

• Prior experience with data annotation, content evaluation, or AI quality assurance workflows
• Familiarity with pharmacovigilance, HEOR, or medical writing
• Advanced degree in medicine, pharmacy, life sciences, or a related field (MD, PharmD, PhD, or equivalent)

Why Join Us

• Work on cutting-edge AI projects at the intersection of life sciences and artificial intelligence
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI handles medical knowledge responsibly
• Exposure to advanced AI systems and how scientific expertise is integrated into them
• Potential for ongoing work and contract extension