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Senior Director, Clinical Pharmacology & Pharmacometrics, Research Business Insights & Technology

$252.64k - $306.14k

Bristol-Myers Squibb

Working with Us

Challenging. 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 Overview

Bristol 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 & Impact

Provide a scalable application and workflow backbone for CPP across preclinical-to-clinical translation, clinical PK/PD, dose selection, exposure-response, and model-informed development decisions Improve the speed, quality, reproducibility, traceability, and inspection-readiness of pharmacometrics and clinical pharmacology workflows Strengthen regulatory submissions through robust reporting, reusable quantitative evidence generation, and auditable outputs that support documents such as clinical pharmacology summaries and model-based appendices Enable governed automation of priority CPP workflows, including reporting, simulation, execution, review, and knowledge reuse Create a durable technology foundation for end-to-end CPP that can scale with pipeline demand and integrate cleanly across the broader Research and Development ecosystem Sub-Areas in Scope

Clinical pharmacology and pharmacometrics applications, including population PK, PK/PD, exposure‑response, dose optimization, and model‑informed decision support PBPK, QSP, drug‑drug interaction, and other quantitative modeling environments used in CPP workflows Clinical PK/PD systems and operational tooling that support end-to-end CPP execution CPAR, Quarto‑based or similar reporting automation, and submission‑support workflows for quantitative regulatory deliverables Quantitative translational workflows that bridge preclinical and clinical evidence in support of CPP decision‑making Workflow governance, audit trails, validation support, access controls, and inspection‑ready operational practices for regulated quantitative environments AI‑enabled and advanced analytics capabilities that improve CPP workflow efficiency, simulation, review, reporting, and knowledge reuse In partnership, but not sole ownership: translational labs, pathology, molecular and imaging lab workflows, CLIA‑oriented lab operations, precision medicine diagnostics, and broad bioanalytical capabilities Key Responsibilities

Serve as the single BI&T point of accountability for CPP technology, applications, workflows, and support services end to end Partner across Research and Development to integrate CPP workflows with the scientific, data, and operational capabilities required for model‑informed drug development Own clinical pharmacology and pharmacometrics applications, modeling environments, reporting workflows, and operational support for core CPP use cases Ensure operational excellence, reliability, governance, and continuous improvement across modeling environments, clinical PK/PD systems, reporting workflows, and submission‑support applications Lead automation of priority CPP workflows, including model execution, reporting, simulation, traceability, review, and evidence reuse Support quantitative regulatory deliverables through fit‑for‑purpose tooling, reproducible workflows, and inspection‑ready practices Partner 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 needs Partner with the R&D Data organization on underlying data‑product strategy, integration, and fit‑for‑purpose data access Lead and grow a team of scientific technologists, product leaders, and specialized engineers aligned to this domain Required Experience & Qualifications

Ph.D. in Pharmacometrics, Clinical Pharmacology, Pharmaceutical Sciences, Biostatistics, or related quantitative field 12+ years in pharmaceutical R&D with deep clinical pharmacology, pharmacometrics, and model‑informed drug development experience Proven experience implementing or leading CPP applications, PBPK and QSP environments, clinical PK/PD systems, or quantitative workflow automation Demonstrated experience supporting regulatory submissions, quantitative reporting, and governed workflows in Development‑facing settings Experience applying AI/ML or advanced automation to quantitative modeling, reporting, or regulated scientific workflows is preferred Director or Senior Director‑level leadership experience; experience building and scaling a specialized scientific technology team is a strong differentiator Critical Capabilities

Scientific Depth in Clinical Pharmacology and Pharmacometrics — Deep credibility with quantitative scientists and domain leaders across CPP Strategic Partnership — Translates scientific and Development needs into practical, integrated technology and workflow solutions Operational Leadership — Builds reliable, scalable, inspection‑ready environments and support models for critical quantitative workflows Regulatory Translation Capability — Understands how quantitative evidence is prepared, reported, reviewed, and used in regulatory settings Leadership & Change Attributes

Strong partnership with senior scientific, clinical, and regulatory leaders Comfort operating with regulatory and global Development stakeholders Ability to recruit, develop, and retain highly specialized quantitative talent in a competitive market Experience navigating matrixed organizations and building credibility quickly Commitment to building a collaborative, high‑performing culture in a growing team What Differentiates Top Candidates

Experience as a clinical pharmacology or pharmacometrics technology leader inside a top‑tier pharmaceutical R&D organization Track record of applications, workflows, or platforms that improved dose selection, quantitative decision‑making, or regulatory execution in Development‑facing settings Experience deploying workflow automation, AI‑enabled capabilities, or advanced analytics in support of end‑to‑end CPP modeling, reporting, and decision‑support operations Demonstrated success building a specialized function from foundational capability to scaled organizational value while operating through strong matrix partnerships #LI‑Hybrid

Compensation Overview

Brisbane - CA - US: $252,640 - $306,137Cambridge Crossing: $252,640 - $306,137Princeton - NJ - US: $229,670 - $278,306San Diego - CA - US: $252,640 - $306,137 The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: Health Coverage:

Medical, pharmacy, dental and vision care. Wellbeing Support:

Programs such as BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). Financial Well‑being and Protection:

401(k) plan, short‑and‑long‑term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. Work‑life benefits include: Paid Time Off

US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non‑Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time

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Vacancy posted 5 days ago
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