Biotech Specialist - AI Trainer

Job Description

Job Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Pharmaceuticals & Biotechnology Expert
Type: Contract
Compensation: $1,150–$1,450 per completed task
Location: Remote

Role Responsibilities

• Build a realistic digital workspace using tools like Medidata Rave , Oracle Clinical One , Schrödinger Suite , and Benchling . Include study protocols, IND/NDA/BLA drafts, and lab notebooks.
• Design multi-step tasks based on real workflows. Ensure tasks challenge frontier AI agents by navigating multiple apps and stakeholders.
• Collaborate with pharma and biotech experts to design environments and review scenarios for realism and rigor.
• Work asynchronously with research teams to refine task designs and evaluation criteria for pharma/biotech agent benchmarks.
• Contribute to frontier AI research and benchmarking. Your work informs how leading labs train and evaluate the next generation of AI systems .

Qualifications

Must-Have

• PhD , MD , PharmD , or MS with deep experience; industry fellowship training a plus.
• 3+ years of full-time experience at a Fortune 500 pharma/biotech or top academic/translational research center.
• Background in areas like drug discovery, preclinical research, biotech R&D, clinical development, regulatory affairs, or pharmacovigilance.
• Day-to-day use of Medidata Rave , Oracle Clinical One , Schrödinger Suite , and Benchling .
• Strong analytical thinking and writing skills.

Compensation & Legal

• Task Completion Pay: Competitive and based on task quality (~$1,150–$1,450 per completed task, subject to change as the project evolves).
• Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate.
• Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.