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Drug Discovery Specialist, Pharmacology & ADME/Tox
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About the Role
This is a part-time position through Cincinnatus LLC (or an appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce. Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus, or an appropriate international entity, serves as the employer of record for these engagements, providing employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.
What You'll Do
- 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, and 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, diagnosing errors in scientific logic, tool usage and factual accuracy, and provide clear, written technical feedback.
- Develop specifications, grading rubrics and verification processes for drug discovery data produced by external technical teams, and 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.
You're a Good Fit If You
- 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, such as a pharmaceutical or biotech company, a contract research organization, or an academic drug discovery group.
- 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, and using it to guide compound decisions.
- Comfortable using PK/PD or data analysis software and scientific AI tools (no coding required).
- 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.
- Nice to have: experience with PK/PD or ADME modeling, writing grading rubrics, designing benchmark tasks, or evaluating scientific AI models.
Role Highlights
Pay & Payout
Independent contractor engagement. Apply via the link below - Mercor handles onboarding and pays weekly via Stripe or Wise.
Common Questions
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About Mercor for this role
We track 354 open Mercor roles on AI Work Expert. Across 479 hourly listings, the typical Mercor rate runs from $64 to $90 an hour; this role lists $70-$100/h. Our reliability rating for Mercor is very reliable, with an onboarding time of 1-3 weeks (interview + assessment + trial).
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