Medical Science Liaison (MSL)
Alignerr
IndiaFresher1h agovia LinkedIn
About the Role
Alignerr is partnering with leading AI research teams to build the next generation of medically intelligent AI systems. As a Medical Science Liaison contributor, you will apply your deep understanding of clinical data, medical evidence, and healthcare communication to help AI get medicine right. Your scientific insight will directly shape how AI understands, interprets, and communicates complex biomedical information, making a genuine impact on the future of healthcare AI.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Key Responsibilities
- Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness.
- Interpret and assess the quality of AI outputs related to clinical trial data, medical evidence, and regulatory information.
- Validate scientific narratives and flag errors, misrepresentations, or gaps in medical reasoning.
- Provide structured expert feedback to help AI models produce more accurate and trustworthy medical content.
- Apply your experience communicating science to healthcare professionals (HCPs) to assess whether AI outputs meet real-world clinical communication standards.
- Work independently and asynchronously on your own schedule.
Qualifications
- Background in medical affairs, clinical research, or scientific communications.
- Experienced engaging healthcare professionals with complex clinical and scientific data.
- Strong ability to critically interpret clinical publications, trial data, and regulatory materials.
- Prior experience in a field-based or externally facing medical role — MSL, clinical educator, scientific advisor, or similar.
- Detail-oriented, self-motivated, and comfortable working independently.
- No prior AI or data annotation experience required.
Nice to Have
- Experience with data annotation, content evaluation, or quality review workflows.
- Familiarity with AI-generated content and its limitations in medical contexts.
- Exposure to pharmacovigilance, medical information, or health economics and outcomes research (HEOR).