More jobs:
Medical Science Liaison; MSL
Remote / Online - Candidates ideally in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-01-15
Boston, Suffolk County, Massachusetts, 02298, USA
Listing for:
Alignerr
Remote/Work from Home
position Listed on 2026-01-15
Job specializations:
-
IT/Tech
Medical Imaging
Job Description & How to Apply Below
Join to apply for the Medical Science Liaison (MSL) role at Alignerr.
Base pay range
$35.00/hr - $75.00/hr
About The Job
At Alignerr, we partner with the world’s leading AI research teams and life‑science organizations to build and train cutting‑edge AI systems grounded in real‑world scientific expertise. As a Medical Science Liaison (MSL), you will serve as a field‑focused scientific communicator, helping translate complex clinical and biomedical data into clear, actionable insights for healthcare professionals (HCPs). Your expertise ensures that clinical evidence, safety data, and scientific narratives are accurately represented and effectively delivered across medical and research channels.
Organization:
Alignerr
Position:
Medical Science Liaison (MSL)
Type:
Hourly Contract
Compensation: $35–$75 /hour
Location:
Remote
Commitment: 10–40 hours/week
What You’ll Do
• Develop and deliver scientific communication strategies for healthcare providers based on clinical trial data, medical evidence, and real‑world insights.
• Interpret, summarize, and present complex scientific and medical information in a way that is accurate, clear, and useful for HCPs.
• Support AI research initiatives by validating medical content, reviewing outputs, and ensuring scientific integrity across models and datasets.
What We’re Looking For
• Background in medical affairs, clinical research, or scientific communications, with experience engaging healthcare professionals.
• Strong ability to interpret clinical data, publications, and regulatory materials and communicate them effectively.
• Experience working in a field‑based or externally facing medical role, such as Medical Science Liaison, clinical educator, or scientific advisor.
Preferred
• Prior experience with data annotation, data quality, or evaluation systems.
Why Join Us
• Competitive pay and flexible remote work.
• Lead impactful contributions to cutting‑edge AI and life‑science projects.
• Exposure to advanced AI systems and how scientific knowledge is integrated into them.
• Freelance perks: autonomy, flexibility, and global collaboration.
• Potential for contract extension.
Application Process
• Submit your resume.
• Complete a short screening.
• Project matching and onboarding.
PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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