Key Facts

Remote From:

California (USA)

Part time

English

Hard Skills

Pharmaceutical Sciences Medidata Rave Oracle Clinical MoEngage Pre-Clinical Development Asynchronous Communication

Other Skills

•
Analytical Thinking
•
Task Planning
•
Collaboration

Roles & Responsibilities

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 research center.
Background in one or more areas such as target ID/drug discovery, preclinical/translational research, clinical development, regulatory affairs, or real-world evidence.
Day-to-day use of Medidata Rave, Oracle Clinical One, Schrödinger Suite, MOE (CCG), and Benchling/LabArchives.

Requirements:

Build a realistic digital workspace centered on the Drive folders you use daily, including various research documents.
Design multi-step tasks grounded in your real workflows, challenging frontier AI agents.
Collaborate with other pharmaceutical-research experts to design the environment and review scenarios for realism and rigor.
Work asynchronously with research teams to refine task designs and evaluation criteria for pharma-research agent benchmarks.

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: Pharmaceutical Research Expert
Type: Contract
Compensation: $1,150–$1,450 per completed task
Location: Remote

Role Responsibilities

Build a realistic digital workspace centered on the Drive folders you use daily. Include study protocols, investigator brochures, IND/NDA drafts, pharmacology reports, biomarker analyses, CMC technical reports, DMC briefing documents, and email threads. Represent platforms like Medidata Rave, Oracle Clinical One, Schrödinger Suite, Benchling, and LabArchives.
Design multi-step tasks grounded in your real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents meaningfully.
Collaborate with other pharmaceutical-research experts to design the environment, shape task scope, and review scenarios for realism and rigor.
Work asynchronously with research teams to refine task designs and evaluation criteria for pharma-research agent benchmarks.
Contribute to frontier AI research and benchmarking. Your work directly 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 research center.
Background in one or more areas such as target ID/drug discovery, preclinical/translational research, clinical development, regulatory affairs, or real-world evidence.
Day-to-day use of Medidata Rave, Oracle Clinical One, Schrödinger Suite, MOE (CCG), and Benchling/LabArchives.
Strong analytical thinking and writing. Able to translate pharma R&D workflows into structured task specs.

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: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com

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

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