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