Sr Dir, Clinical Pharmacology & Pharmacometrics - Princeton NJ

Senior Director for Clinical Pharmacology & Pharmacometrics

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.