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

Job description

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 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. 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 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. 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 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 — Transla