Drug Discovery Scientist
Posted 2hrs ago
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Job Description
Drug Discovery Scientist designing evidence-based drug research challenges for Mercor’s frontier AI training. Building prompts, data rooms, and grading documents for mechanistic 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 that make conclusions inevitable
- Assemble data rooms from real, source-grounded data
- 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 the final authority on scientific and difficulty questions for assigned tasks
- Work with browser-based studio and Claude Code
- Collaborate with leading researchers on AI training projects
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 design realistic, rigorous drug research and development problems
- Ability to defend scientific conclusions rigorously
- Comfortable judging reasoning quality, not just final answers
- Commitment of at least 20 hours per week, up to 40 hours
- Comfortable using a browser-based studio and Claude Code
- Must be able to work as an independent contractor
- H1-B and STEM OPT candidates are not supported
Benefits:
- Claude Max subscription fully reimbursed
- Payments weekly on Stripe or Wise
- Fully remote work
- Flexible schedule; work on your own schedule
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Competitive pay
- Reasonable accommodations upon request
- Referral earnings up to $360 per successful referral











