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 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 (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: Show email
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted 7 days ago
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