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

Overview

Working with Bristol Myers Squibb is challenging, meaningful, and life-changing. This role involves leading digital and analytical capabilities to enable non-clinical decisions across in-vivo biology, DMPK/ADME, toxicology, and bioanalytical science. The leader will partner with Research leadership and the Pharmacology, DMPK, Toxicology, and Translational Science units to deliver applications, workflow capabilities, AI, and supporting data flows that translate non-clinical evidence into translational and clinical decision-making.

The position reports to the Vice President, Research Business Insights & Technology, and operates as part of a unified BI&T leadership team to translate scientific needs into scalable technology solutions.

We emphasize balance and flexibility and offer a range of competitive benefits and programs to support employees in both work and personal life.

• 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

• 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

• 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

• 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

• Strong…