Sr Dir, Clinical Pharmacology & Pharmacometrics Princeton NJ

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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 endfrom 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