Drug Discovery Scientist
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Job Description
Drug Discovery Scientist designing evidence-grounded drug research challenges for Mercor’s frontier AI model evaluations. Building prompts, data rooms, and grading documents that test scientific reasoning.
Responsibilities:
- Design realistic drug research and development problems for frontier AI model evaluation
- Create prompts, data rooms, and grading documents for each task
- Identify the hidden basin and forcing chain that make one conclusion inevitable
- Assemble data rooms from real, source-grounded evidence
- Ensure every decisive value traces to a real source
- Write grading documents that evaluate submitted memos on substance rather than style or method
- Run verification and calibration before submission
- Revise work when reviewers request changes
- Serve as final authority on scientific and difficulty questions for assigned tasks
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 research problems whose answers can be defended rigorously and cannot be easily shortcut
- Ability to judge reasoning quality, not just final answers
- Commitment of at least 20 hours per week, up to 40 hours
- Comfortable working in a browser-based studio and Claude Code
- Claude Max subscription required
- Must be an independent contractor
- H1-B and STEM OPT candidates are not supported
Benefits:
- Claude Max subscription fully reimbursed
- Payments made weekly on Stripe or Wise
- Flexible schedule; work can be completed on your own schedule
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Reasonable accommodations upon request
- Competitive pay
- Opportunity to collaborate with leading researchers and help shape next-generation AI systems
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