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mercor

Drug Discovery Scientist - PhD - AI Trainer

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Drug Discovery Scientist

Type:Contract

Compensation:$60–$90/hour

Location:Remote

Commitment:20–40 hours/week

Role Responsibilities

Design realistic research problems for AI models in drug research. Ensure they require genuine reasoning, not pattern matching.

Build a comprehensive data room using real, source-grounded data. Ensure every decisive value traces to a real source.

Write a grading document that scores submissions based on substance. Focus on reasoning quality, not style or method.

Validate and calibrate tasks before submission. Ensure accuracy and reliability.

Revise tasks based on reviewer feedback. Maintain authority on scientific and difficulty questions.

Qualifications

Must-Have

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 problems that strong solvers cannot shortcut.

Comfortable judging reasoning quality.

Resources & Support

For details about the interview process and platform information, please check:

For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

#hiringmercorOriginally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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