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Bristol Myers Squibb

Senior Director (QSP), Clinical Pharmacology & Pharmacometrics, Research Business Insights/Information Technology

Cambridge Crossing - MA - US · San Diego - CA - US · Brisbane - CA - US · Princeton - NJ - US

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hirly's read of this role

Seniority
Director
Country
US
Work mode
On-site / unstated
First seen by hirly
17 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

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

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Original posting on Bristol Myers Squibb's site ↗

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