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Senior Dir, Clinical Pharmacology & Pharmacometrics

at Bristol Myers Squibb

Bristol Myers Squibb4 LocationsPosted 2026-06-03
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Job description

Working with UsChallenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.Role OverviewBristol Myers Squibb is seeking a strategic, scientifically grounded leader to serve as the Senior Director for Clinical Pharmacology & Pharmacometrics. This leader will partner deeply with Clinical Pharmacology, Pharmacometrics, Quantitative Pharmacology, and Translational Medicine stakeholders to deliver the applications, modeling environments, workflow automation, and governed operational capabilities that support CPP work end to end—from quantitative preclinical-to-clinical bridging through clinical PK/PD, dose and regimen decisions, and submission-support outputs.This role supports the quantitative CPP layer across Research and Development, including pharmacometric workflows, clinical PK/PD systems, modeling platforms, reporting automation, regulatory evidence generation, and the governed operational capabilities required to run these workflows at scale.Reporting to the Vice President, Research Business Insights & Technology, this leader will operate as part of a unified BI&T leadership team and act as a trusted partner to Research and Development leadership. The role carries accountability for the reliability, fit-for-purpose evolution, and long-term scaling of the CPP technology stack and workflow ecosystem, while working in a highly matrixed model with scientific leaders, data teams, lab-platform teams, and regulatory-facing partners.Mission & ImpactProvide a scalable application and workflow backbone for CPP across preclinical-to-clinical translation, clinical PK/PD, dose selection, exposure-response, and model-informed development decisionsImprove the speed, quality, reproducibility, traceability, and inspection-readiness of pharmacometrics and clinical pharmacology workflowsStrengthen regulatory submissions through robust reporting, reusable quantitative evidence generation, and auditable outputs that support documents such as clinical pharmacology summaries and model-based appendicesEnable governed automation of priority CPP workflows, including reporting, simulation, execution, review, and knowledge reuseCreate a durable technology foundation for end-to-end CPP that can scale with pipeline demand and integrate cleanly across the broader Research and Development ecosystemSub-Areas in ScopeClinical pharmacology and pharmacometrics applications, including population PK, PK/PD, exposure-response, dose optimization, and model-informed decision supportPBPK, QSP, drug-drug interaction, and other quantitative modeling environments used in CPP workflowsClinical PK/PD systems and operational tooling that support end-to-end CPP executionCPAR, Quarto-based or similar reporting automation, and submission-support workflows for quantitative regulatory deliverablesQuantitative translational workflows that bridge preclinical and clinical evidence in support of CPP decision-makingWorkflow governance, audit trails, validation support, access controls, and inspection-ready operational practices for regulated quantitative environmentsAI-enabled and advanced analytics capabilities that improve CPP workflow efficiency, simulation, review, reporting, and knowledge reuseIn partnership, but not sole ownership: translational labs, pathology, molecular and imaging lab workflows, CLIA-oriented lab operations, precision medicine diagnostics, and broad bioanalytical capabilitiesKey ResponsibilitiesServe as the single BI&T point of accountability for CPP technology, applications, workflows, and support services end to endPartner across Research and Development to integrate CPP workflows with the scientific, data, and operational capabilities required for model-informed drug developmentOwn clinical pharmacology and pharmacometrics applications, modeling environments, reporting workflows, and operational support for core CPP use casesEnsure operational excellence, reliability, governance, and continuous improvement across modeling environments, clinical PK/PD systems, reporting workflows, and submission-support applicationsLead automation of priority CPP workflows, including model execution, reporting, simulation, traceability, review, and evidence reuseSupport quantitative regulatory deliverables through fit-for-purpose tooling, reproducible workflows, and inspection-ready practicesPartner with Unified Lab & Experimental Platforms, Target & Disease Biology, and In-Vivo & Non-Clinical Pharmacology where translational science, lab systems, diagnostics, biomarker workflows, or bioanalytical capabilities intersect with CPP needsPartner with the R&D Data organization on underlying data-product strategy, integration, and fit-for-purpose data accessLead and grow a team of scientific technologists, product leaders, and specialized engineers aligned to this domainRequired Experience & QualificationsPh.D. in Pharmacometrics, Clinical Pharmacology, Pharmaceutical Sciences, Biostatistics, or related quantitative field12+ years in pharmaceutical R&D with deep clinical pharmacology, pharmacometrics, and model-informed drug development experienceProven experience implementing or leading CPP applications, PBPK and QS
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