Medical Science Liaison (MSL)

Why This Role Matters
Medical Science Liaisons (MSLs) play a crucial role in bridging scientific research and clinical practice. They translate complex clinical trial data and scientific evidence into meaningful insights for healthcare professionals and research teams. In emerging fields such as artificial intelligence in healthcare, MSLs also help ensure that medical data used in AI systems is accurate, evidence-based, and clinically relevant. This role combines scientific expertise, medical communication, and digital innovation to support the development of advanced healthcare technologies.

Job Description
The Medical Science Liaison (MSL) will work remotely to support life science and AI research initiatives by providing scientific expertise and translating complex medical information into clear insights. The role involves interpreting clinical data, communicating scientific evidence to healthcare professionals, and contributing to AI-driven healthcare research projects. The MSL will collaborate with research teams to validate medical content, review scientific outputs generated by AI systems, and ensure the accuracy and integrity of medical data used in research and development projects. This position is designed for professionals with experience in medical affairs, clinical research, or scientific communications.

Key Features of the Role:
• Remote contract position with flexible working hours
• Opportunity to contribute to AI and life sciences innovation
• Collaboration with global research teams and healthcare professionals
• Flexible weekly commitment ranging from part-time to full-time hours
• Exposure to advanced AI systems and medical research technologies

Responsibilities

Scientific Communication
• Develop and deliver scientific communication strategies for healthcare professionals based on clinical research and medical evidence
• Translate complex clinical and biomedical information into clear, accurate, and actionable insights
• Support communication of safety data, research findings, and clinical evidence

Medical Content Review and Validation
• Review and validate medical content used in AI systems and research datasets
• Ensure accuracy, scientific integrity, and compliance with medical evidence standards
• Interpret clinical publications, regulatory materials, and research findings

AI Research Collaboration
• Support AI development projects by evaluating and validating medical outputs generated by AI models
• Contribute domain expertise to ensure that healthcare-related datasets and models maintain high scientific standards
• Work with cross-functional teams to integrate medical knowledge into research processes

Required Qualifications

Educational Requirements:
• Degree in life sciences, pharmacy, medicine, nursing, or a related healthcare field

Experience:
• Experience in medical affairs, clinical research, or scientific communication roles
• Prior experience working with healthcare professionals in an external or field-based role such as Medical Science Liaison, clinical educator, or scientific advisor

Skills and Competencies:
• Strong ability to interpret clinical trial data and scientific literature
• Excellent scientific communication and presentation skills
• Ability to simplify complex medical information for healthcare audiences
• Analytical thinking and attention to scientific accuracy

Preferred Qualifications:
• Experience in data annotation, data quality assessment, or evaluation systems
• Familiarity with healthcare datasets or AI-supported research projects

Compensation and Work Structure

Payment:
• $35 – $75 per hour depending on experience

Work Arrangement:
• Remote position
• Flexible working hours between 10 – 40 hours per week

Employment Type:
• Hourly contract / freelance engagement

Company Overview
Alignerr partners with leading artificial intelligence research teams and life science organizations to develop advanced AI systems grounded in scientific expertise. The company focuses on integrating real-world scientific knowledge into AI models, enabling more accurate and reliable healthcare and research solutions.

Why Join This Role
• Competitive hourly compensation
• Fully remote and flexible work schedule
• Opportunity to contribute to innovative AI and life science projects
• Exposure to cutting-edge research technologies
• Global collaboration with multidisciplinary teams
• Potential contract extension based on project needs

Application Process
• Submit your resume through the application portal
• Complete a short screening process
• Participate in project matching and onboarding if selected

Application Tips
• Highlight experience in medical affairs, clinical research, or scientific communications
• Include examples of interpreting and presenting clinical trial data or scientific publications
• Demonstrate experience interacting with healthcare professionals or research teams
• Mention any experience with AI research, data validation, or scientific data review if applicable
• Emphasize strong analytical and communication skills relevant to scientific roles