Medical Science Liaison (MSL)

Alignerr Corp.

Ciudad de México

Presencial

MXN 1.466.000 - 2.933.000

A tiempo parcial

hace 41 horas
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Descripción de la vacante

Alignerr Corp. is seeking experienced Medical Science Liaisons to train and validate AI systems in life sciences. You will translate complex clinical data into clear narratives and ensure AI understands biomedical information.

This is a remote freelance role with flexible scheduling and 10-40 hours per week. Ideal candidates will have MSL or clinical communications experience, strong data interpretation skills, and comfort working independently on structured review tasks.

Formación

  • Background in medical affairs or scientific communications with experience engaging healthcare professionals.
  • Strong ability to interpret and evaluate clinical data, medical publications, and regulatory materials.

Responsabilidades

  • Review AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness for healthcare audiences.
  • Validate AI outputs involving clinical trial data, safety information, pharmacology, and medical evidence.
  • Identify errors, misrepresentations, or gaps in scientific reasoning and provide structured, actionable feedback.
  • Help develop high-quality scientific communication examples that reflect real-world MSL standards.
  • Work independently and asynchronously on task-based assignments.

Conocimientos

Medical affairs
Clinical data evaluation
Scientific communication
MSL experience

Educación

Advanced life sciences degree (PharmD/MD/PhD)

Herramientas

Data annotation tools
AI review workflows

Descripción del empleo

Medical Science Liaison (MSL) — AI Training

We're looking for experienced Medical Science Liaisons and clinical science professionals to help train and validate cutting-edge AI systems in the life sciences space. Your expertise in translating complex clinical data into clear, accurate narratives is exactly what's needed to ensure AI gets medical science right. This is a unique opportunity to apply your MSL skill set in a new and impactful direction — shaping how AI understands, communicates, and reasons about biomedical and clinical information.

  • 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 audiences
  • Validate AI outputs involving clinical trial data, safety information, pharmacology, and medical evidence
  • Identify errors, misrepresentations, or gaps in scientific reasoning and provide structured, actionable feedback
  • Help develop high-quality scientific communication examples that reflect real-world MSL standards
  • Work independently and asynchronously on task-based assignments
Who You Are
  • Background in medical affairs, clinical research, or scientific communications with experience engaging healthcare professionals
  • Strong ability to interpret and evaluate clinical data, medical publications, and regulatory materials
  • Experience in a field-based or externally facing medical role — MSL, clinical educator, scientific advisor, or similar
  • Excellent written communication skills with an eye for scientific precision
  • Comfortable working remotely and independently on structured review tasks
Nice to Have
  • Prior experience with data annotation, content evaluation, or AI review workflows
  • Familiarity with multiple therapeutic areas
  • Advanced degree in life sciences, pharmacy, medicine, or a related field (PharmD, PhD, MD, or equivalent)
Why Join Us
  • Contribute to meaningful AI projects that impact the future of medical science and healthcare communication
  • Work on cutting-edge AI systems alongside leading research teams
  • Fully remote and flexible — work on your own schedule
  • Freelance autonomy with the opportunity for ongoing collaboration and contract extension
  • Bring your real-world clinical expertise to a field where it truly matters
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