Drug Discovery Specialist Pharmacology

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 DAngelo 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 2030 mins to complete)

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

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