Drug Discovery Scientist
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Job Description
Drug Discovery Scientist creating realistic, evidence-grounded drug research challenges for Mercor’s frontier AI training. Building prompts, data rooms, grading documents, and defensible scientific evaluation frameworks.
Responsibilities:
- Design realistic research problems for frontier AI models in drug research and development
- Create prompts, data rooms, and grading documents for each task
- Identify hidden basins and forcing chains leading to defensible conclusions
- Assemble data rooms from real, source-grounded evidence
- Write grading documents that assess submitted memos on substance
- 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 defensible, rigorous research problems that cannot be shortcut by strong solvers
- Comfortable judging reasoning quality, not just final answers
- Commitment of at least 20 hours per week, up to 40 hours
- Claude Max subscription required
- Independent contractor status
- Unable to support H1-B or STEM OPT candidates
Benefits:
- Claude Max subscription fully reimbursed
- Fully remote work
- Flexible schedule / work on your own schedule
- Weekly payments via Stripe or Wise
- Competitive pay
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Reasonable accommodations upon request
- Referral payments of up to $360 for successful referrals
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