[Hiring] Pharmacology Expert - AI Trainer @Mercor

Role Description

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 Specialist, Pharmacology & ADME/Tox

Type: Contract

Compensation: $70–$100/hour

Location: Remote

Role Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in mechanism of action, target and cellular pharmacology, ADME/Tox, and PK/PD.
• Design challenging, non-searchable drug discovery tasks, benchmarks, and training data.
• Write accurate, well-structured solutions to problems such as interpreting assay readouts, identifying compound liabilities, and planning optimization strategy.
• Evaluate AI model outputs and step-by-step reasoning on drug discovery tasks.
• Diagnose errors in scientific logic, tool usage, and factual accuracy.
• Provide clear, written technical feedback.
• Develop specifications, grading rubrics, and verification processes for drug discovery data produced by external technical teams.
• Act as the domain authority on data quality.
• Advise on assay design and quality control, experimental failure modes, and the biological and pharmacological validity of model outputs.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

• Must-Have
• PhD in pharmacology, pharmaceutical sciences, toxicology, DMPK, biochemistry, or a closely related discipline, or equivalent research experience.
• 3+ years of experience in early-to-mid stage drug discovery, pharmacology, DMPK / ADME, or toxicology at a recognized organization.
• Hands-on experience analyzing experimental drug discovery data, such as in vitro ADME and safety assays, PK/PD studies, CRO assay readouts, or LC-MS bioanalysis.
• Comfortable using PK/PD or data analysis software and scientific AI tools.
• Ability to engage reliably for at least 20 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.
• Preferred
• Experience with PK/PD or ADME modeling, writing grading rubrics, designing benchmark tasks, or evaluating scientific AI models.

Application Process

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

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