Pharmacometric Research Scientist


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: Translational/Clinical Pharmacology Decision-Maker

Type: Contract / part-time

Compensation: $150–$200/hour

Location: Remote

Role Responsibilities

  • Evaluate the validity of dose–exposure predictions and detect high-risk extrapolations.
  • Design and refine micro-evaluations for PK/PD performance, including curve fits and parameter checks.
  • Encode quantitative sanity checks into model rubrics for automated evaluation.
  • Define failure conditions such as unsafe extrapolation and invalid assumptions.
  • Collaborate with subject matter experts to ensure model integrity and improve decision-making processes.
  • Work independently and asynchronously to meet deadlines while enhancing model outputs.

Qualifications

Must-Have

  • 8–12 years of quantitative pharmacology experience in pharma, CROs, or modeling consultancies.
  • Deep hands-on experience in PK, PD, exposure–response modeling, and ideally population PK or QSP.
  • Strong portfolio in population PK/PD, exposure–response, and parameter estimation using NONMEM, Monolix, or equivalent tools.
  • Ability to interpret model results for decision-making, not just fit data.
  • Expertise in model fitting, sensitivity analysis, and identifying non-plausible parameter spaces.

Preferred

  • Experience supporting translational or clinical pharmacology leads in dose justification.
  • Familiarity with integrating nonclinical PK/PD data (2-species GLP → human FIH extrapolation).

Compensation & Legal

  • Hourly contractor, outcome-based deliverables.

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: https://talent.docs.mercor.com/welcome/welcome
  • For any help or support, reach out to: [email protected]

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

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