Senior Director, Business Insights and Technology- Research (Clinical Pharmacology & Pharmacometrics)

Role Overview

Bristol Myers Squibb is seeking a technology leader with deep roots in clinical pharmacology and pharmacometrics (CPP) to serve as the Senior Director, Clinical Pharmacology & Pharmacometrics Technology within Research Business Insights & Technology (BI&T). This leader owns the technology products, modeling and scientific-computing platforms, data integrations, workflow automation, and validated operational services that enable CPP work end to end—from quantitative preclinical-to-clinical bridging through clinical PK/PD, dose and regimen decisions, and submission-ready outputs.

Reporting to the Vice President, Research Business Insights & Technology, this leader will operate as part of a unified BI&T leadership team alongside peers in enterprise architecture, cloud and infrastructure, R&D data, cybersecurity, and quality/compliance IT and act as a trusted partner to Research and Development leadership.

Mission & Impact

• Provide a scalable application and workflow backbone for CPP modeling and simulation, supporting preclinical-to-clinical translation, dose selection, and model-informed development decisions
• Deliver modern scientific-computing and modeling environments (HPC/cloud compute, containerized toolchains, reproducible analysis workspaces) in partnership with the Research Compute team that improve the speed, reproducibility, traceability, and inspection-readiness of CPP 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 using agentic AI, including reporting, modeling and simulation, execution, review, and knowledge reuse to reduce cycle time of deliverables
• 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 PK Non-Compartmental Analysis (NCA), 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 including licensing, deployment, validation, and vendor relationships
• Clinical PK/PD systems and operational tooling that support end-to-end CPP execution
• 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/ML and advanced-analytics capabilities (including LLM-assisted modeling, review, and reporting) that improve CPP workflow efficiency—with associated MLOps, model governance, and responsible-AI controls
• Service management for the CPP technology estate: incident, problem, and change management; user support; training; and vendor performance management

Key Responsibilities

• Serve as the single BI&T point of accountability for CPP technology, applications, workflows, and support services end to end
• Define and own the multi-year CPP technology strategy, architecture, and product roadmap, aligned with BI&T enterprise standards and R&D scientific priorities
• Partner across Research and Development to integrate CPP workflows with the scientific, data, and operational capabilities required for model-informed drug development
• Own the lifecycle of CPP applications, modeling environments, scientific-computing infrastructure, reporting pipelines, and operational support, including build/buy/partner decisions
• Ensure operational excellence, reliability, governance, and continuous improvement across modeling environments, clinical PK/PD systems, reporting workflows, and submission-support applications
• Lead engineering delivery of workflow automation—model execution orchestration, simulation at scale, reporting pipelines, traceability, review workflows, and evidence reuse—using modern software-engineering practices
• Own validation and compliance for regulated CPP systems in partnership with Quality, Regulatory, and IT Compliance, ensuring systems are inspection-ready and documentation is audit-grade
• 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

• Advanced degree (Ph.D. preferred) in Pharmacometrics, Clinical Pharmacology, Pharmaceutical Sciences, Biostatistics, or related quantitative field
• 12+ years of experience in pharmaceutical R&D or life-sciences technology, with a substantial portion in technology, informatics, or platform leadership roles supporting clinical pharmacology, pharmacometrics, or model-informed drug development
• Hands-on familiarity with the CPP toolchain (e.g., NONMEM, Monolix, R, Python, PBPK/QSP platforms) and the ability to engage credibly with practicing pharmacometricians on their workflows and pain points
• 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, LLM-based tooling, or advanced automation to quantitative modeling, reporting, or regulated scientific workflows, including MLOps and model-governance considerations (preferred)
• Director or Senior Director-level leadership experience; experience building and scaling a specialized scientific technology team is a strong differentiator

Critical Capabilities

• Scientific Fluency in Clinical Pharmacology and Pharmacometrics — Sufficient depth to earn credibility with quantitative scientists and domain leaders across CPP
• Technology & Platform Leadership — Sets architecture direction and delivers reliable, secure, scalable scientific-computing and application platforms; fluent in cloud, HPC, data engineering, and software-delivery practices
• Product Management Discipline — Runs CPP technology as a portfolio of products with clear roadmaps, prioritization, outcome metrics, and stakeholder-managed trade-offs
• 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, and what technology must guarantee to support it

Leadership & Change Attributes

• Strong partnership with senior scientific, clinical, and regulatory leaders
• Comfort operating with regulatory and global Development stakeholders
• Experience leading technology modernization and change management in scientific user communities—moving teams to new platforms while protecting ongoing program timelines
• 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 or life-sciences technology 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