Drug Discovery Scientist
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Job Description
Drug Discovery Scientist designing evidence-grounded drug research challenges for Mercor’s frontier AI training projects. Building prompts, data rooms, and grading frameworks for scientific reasoning.
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 using real, source-grounded data
- Ensure every decisive value traces to a real source
- Write grading documents that assess 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 construct rigorous, defensible research problems that strong solvers cannot shortcut
- Ability to judge reasoning quality, not only final answers
- Minimum commitment of 20 hours per week, up to 40 hours
- Comfortable working in a browser-based studio and Claude Code
- Claude Max subscription required
- Must work as an independent contractor
- H1-B and STEM OPT candidates are not supported
Benefits:
- Claude Max subscription fully reimbursed
- Flexible own schedule
- Weekly payments via Stripe or Wise
- Fully remote work
- Competitive pay
- Collaboration with leading researchers
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Reasonable accommodations upon request
- Referral bonus of up to $360 per successful referral, subject to limits
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