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.
Simulate the pharmacology layer of each data room, including PK and PD datasets, dosing regimens, and bioanalytical reports. Ensure dose rationale and concentration data are clinically plausible.
Author dose selection rationale, drug concentration and response sections, and interaction content. Design prompts, golden outputs, and rubrics for AI agent evaluation.
Evaluate exposure-response relationships to reconcile against efficacy and safety outputs.
Collaborate with teams to ensure pharmacology data withstands expert scrutiny.
Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications
Must-Have
Location: US or Canada.
5+ years of experience required; 10–25 years preferred.
PharmD, PhD in pharmacology, pharmacokinetics, or a related field, MD, or equivalent.