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Job Description
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Role Overview
Bristol Myers Squibb is seeking a strategic and scientifically grounded leader to serve as the Senior Director for In-Vivo & Non-Clinical Pharmacology. This leader will partner deeply with Research leadership and the Pharmacology, DMPK, Toxicology, and Translational Science units to deliver the applications, workflow capabilities, AI, and supporting data flows that enable non-clinical decisions across in-vivo biology, DMPK, ADME, non-clinical safety, toxicology, and bioanalytical science.
The role is focused on the digital and analytical capability layer that helps Research generate, interpret, and act on non-clinical evidence, rather than owning the underlying scientific operations themselves. In close partnership with BMS's R&D Data organization and peer BI&T leaders, this role will help build an integrated, multi-year environment in which non-clinical evidence flows cleanly into translational, clinical pharmacology, regulatory, and Development decision-making.
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 leadership, translating scientific needs into scalable, integrated technology solutions.
Mission & Impact
Enable higher-confidence candidate progression decisions through integrated non-clinical applications, AI, and workflow support
Modernize PK/PD, DMPK/ADME, toxicology, and bioanalytical decision environments with predictive and AI-enabled capabilities
Improve how non-clinical evidence is captured, connected, and reused to support downstream translational, clinical pharmacology, regulatory, and Development decisions
Advance predictive safety, translational modeling support, histopathology image AI, and agent-enabled study workflows where they create clear scientific value
Reduce fragmentation across non-clinical workflows and improve decision speed, traceability, and reuse of evidence
Key Responsibilities
Partner with Pharmacology, DMPK, Toxicology, and Translational Science leaders to shape and deliver the technology roadmap supporting non-clinical decisions
Lead deployment of GenAI, agentic, and predictive AI/ML capabilities for non-clinical workflows, including predictive safety, in silico DMPK, histopathology image AI, and study design support
Ensure non-clinical data is captured with high fidelity in source systems and flows cleanly to downstream curation by the R&D Data organization
Partner with scientific, quality, and operational stakeholders to ensure applications appropriately support animal welfare data, IACUC-related processes, and study-governance workflows
Enable non-clinical safety signal detection and risk characterization through modern analytics, integrated data flows, and decision-support tools
Partner with Development teams so that clinical findings flow back into non-clinical model validation and refinement
Ensure operational excellence and reliability of non-clinical applications, modeling environments, and analytics
Lead and develop a team of scientific technologists, AI/ML engineers, product leaders, and application specialists
Additional Qualifications/Responsibilities
Required Experience & Qualifications
Bachelor's, Master's, or Ph.D. in Pharmacology, Pharmaceutical Sciences, Biology, Bioinformatics, or related field (Ph.D. preferred)
12-15+ years in pharmaceutical R&D with strong exposure to preclinical and translational science
Deep understanding of in-vivo pharmacology, DMPK/ADME, safety/toxicology, and bioanalytical workflows
Proven experience leading applications, digital products, or AI-enabled capabilities in non-clinical R&D, including predictive safety, in silico DMPK, or histopathology image AI
Experience working in GLP-adjacent regulated environments and with IACUC-related processes
Proven leadership at Director or Senior Director level
Critical Capabilities
Scientific Depth in Non-Clinical Pharmacology - Engages deeply with non-clinical scientific leaders and understands experimental design, data, and interpretation
Strategic Partnership - Acts as a trusted partner to Research leadership, translating scientific needs into integrated technology solutions
AI / Predictive Modeling Strategy - Fluent in predictive safety, in silico DMPK, image AI, and agentic capabilities for non-clinical workflows
Regulated Workflow Fluency - Fluent with GLP, IACUC, and non-clinical safety governance
End-to-End Pipeline Thinking - Understands how non-clinical data impacts downstream Development and decision-making
Leadership & Change Attributes
Strong ability to partner with senior scientific leaders and act as a trusted advisor
Proven experience driving organizational and technology transformation in scientific environments
Ability to translate complex scientific and technical concepts into actionable strategies
Experience navigating matrixed, global organizations
Commitment to building a high-performing, collaborative team culture
What Differentiates Top Candidates
Experience leading non-clinical pharmaceutical sciences digital, AI, or application transformation initiatives
Demonstrated success building integrated applications that support AI/ML-driven non-clinical workflows, including predictive safety, image AI, or in silico DMPK
Background spanning bench science, computational methods, AI/ML, and enterprise applications
Track record of improving how non-clinical evidence is connected, interpreted, and used in candidate decisions
Demonstrated success integrating fragmented tool ecosystems into unified platforms
Credibility with both internal R&D leaders and external innovation partners
Why This Role Matters Now
Bristol Myers Squibb is at a pivotal moment in reimagining how technology and AI support scientific discovery. Non-clinical pharmacology generates the evidence that determines which candidates enter humans, and this role matters now because scientists need better integrated applications, AI, and workflows to generate, interpret, and act on that evidence with greater speed and confidence. Done well, this capability becomes a strategic asset that improves candidate decisions and increases the probability of success across the pipeline.
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Compensation Overview:
Brisbane - CA - US: $252,640 - $306,137
Cambridge Crossing: $252,640 - $306,137
Princeton - NJ - US: $229,670 - $278,306
San Diego - CA - US: $252,640 - $306,137