Drug Discovery Scientist
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Job Description
Drug Discovery Scientist designing source-grounded drug research challenges for Mercor’s frontier AI training projects. Building prompts, data rooms, and grading frameworks for scientific reasoning.
Responsibilities:
- Design realistic drug research and development problems for frontier AI model evaluation
- Identify hidden basins and forcing chains leading to defensible conclusions
- Assemble source-grounded data rooms from real data
- Create prompts, data rooms, and grading documents for each task
- Develop grading documents that evaluate submitted memos on substance
- Run verification and calibration before submission
- Revise tasks when reviewers request changes
- Serve as final authority on scientific and difficulty questions
Requirements:
- Working expertise in mechanistic enzymology, structure-guided peptide or antibody design, fragment-based discovery, or structure-based medicinal chemistry
- PhD or equivalent industry track record
- Ability to pose realistic research problems and defend conclusions rigorously
- Ability to evaluate reasoning quality, not just final answers
- Commitment of at least 20 hours per week, up to 40
- Comfortable working with browser-based studio and Claude Code
- Required Claude Max subscription
- Must be able to work as an independent contractor
- H1-B and STEM OPT candidates are not supported
Benefits:
- Claude Max subscription fully reimbursed
- Flexible schedule; fully remote work
- Weekly payments via Stripe or Wise
- Competitive pay
- Reasonable accommodations upon request
- Referral bonuses of up to $360 per successful referral (subject to limits)
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