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Recursion

Data-driven drug discovery platform leveraging datasets

Vice President - Clinical Pharmacology & Pharmacometrics

Quantitative Biology & BiostatisticsPosted on Nov 10
Full-time

About the Job

Requirements

  • An advanced degree in clinical pharmacology, pharmacometrics, pharmaceutical sciences, quantitative pharmacology, biomedical engineering, medicine, pharmacy, or a related field is required; a PhD, PharmD, or MD is preferred.
  • At least 15 years of biotech or pharmaceutical industry experience, including significant leadership experience in Clinical Pharmacology, Pharmacometrics, Quantitative Pharmacology, or model-informed drug development.
  • Proven success leading clinical pharmacology strategy across multiple programs, ideally from first-in-human studies through registrational development, submission, and labeling.
  • Deep expertise in pharmacokinetics, pharmacokinetics/pharmacodynamics, exposure-response, exposure-safety, population pharmacokinetics, physiologically based pharmacokinetic modeling, quantitative systems pharmacology, dose optimization, dose justification, and model-based clinical trial design.
  • Experience designing, interpreting, and defending clinical pharmacology studies and analyses in support of global development and regulatory submissions.
  • Strong understanding of FDA, EMA, MHRA, PMDA, and ICH expectations for clinical pharmacology, pharmacometrics, dose selection, model-informed drug development, and regulatory documentation.
  • Demonstrated ability to build and lead high-performing teams, influence senior stakeholders, manage external partners, and communicate complex quantitative concepts to executives, program teams, partners, and regulators.

Responsibilities

  • Set the enterprise strategy for Clinical Pharmacology, Pharmacometrics, Translational Modeling, and preclinical-to-clinical quantitative integration across the clinical and post-candidate-nomination portfolio.
  • Own dose strategy from first-in-human planning through registrational development, including dose escalation, dose optimization, exposure-response, safety, efficacy, and label-supporting dose justification.
  • Lead quantitative development approaches, including population pharmacokinetics, pharmacokinetics/pharmacodynamics, exposure-response, physiologically based pharmacokinetic modeling, quantitative systems pharmacology, disease progression modeling, and clinical trial simulations.
  • Design and oversee clinical pharmacology studies, including food effect, drug-drug interaction, organ impairment, QT/cardiac safety, bioavailability/bioequivalence, mass balance/ADME, and special population studies.
  • Partner with Clinical Development, Development Sciences, DMPK, Toxicology, Translational Modeling, Biomarkers, Regulatory, Biostatistics, CMC, and Data Science to inform development strategy and decision-making.
  • Represent the company as the clinical pharmacology expert in regulatory interactions and ensure high-quality clinical pharmacology contributions to INDs/CTAs, briefing books, NDAs/BLAs/MAAs, regulatory responses, and labeling.
  • Represent Clinical Pharmacology and Translational Modeling in cross-functional program teams, governance forums, regulatory interactions, and alliance settings with external pharma partners.
  • Build, mentor, and scale a high-performing Clinical Pharmacology and Pharmacometrics function, including internal talent, consultants, CROs, and external modeling partners.
  • Advance responsible use of AI, automation, and advanced analytics to improve evidence integration, modeling workflows, and clinical development decisions.

Desired Qualifications

  • Experience in oncology, rare disease, and/or small molecule development is strongly preferred.
  • Experience applying AI, advanced analytics, or automation in clinical pharmacology is a plus.

About the Company

Recursion

Data-driven drug discovery platform leveraging datasets

Recursion uses a data-driven platform to speed up drug discovery in TechBio by combining large biological and patient datasets with wet-lab experiments. It runs tens of thousands of experiments weekly to profile genes and compounds across many cell types, and processes results on its BioHive 1 supercomputer to map billions of gene–compound relationships. This approach lets Recursion identify potential drug candidates by turning experimental data into actionable insights, and it collaborates through strategic partnerships with pharma companies, labs, and healthcare providers rather than pursuing traditional in-house discovery alone. Its goal is to decode biology at scale and translate findings into new medicines that help patients.

Company size
501-1,000
Company stage
IPO
Headquarters
Salt Lake City, UT
Founded
2013

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