Senior Director, In-Vivo & Non-Clinical Pharmacology, Research Business Insights & Technology

Senior Director, In-Vivo & Non-Clinical Pharmacology

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

Required Experience & Qualifications

• Bachelor's, Master's, or Ph.D. in Pharmacology, Pharmaceutical Sciences, Biology, Bioinformatics, or related field (Ph.D. preferred)
• 1215+ 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.