Executive Director, Molecular Design Technology (BI&T)

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Role Overview

Bristol Myers Squibb is seeking a leader to serve as Executive Director, Molecular Design Technology—a pivotal role at the intersection of drug discovery science and advanced digital capabilities.

This global leader will define and deliver the technology strategy and capabilities that enable modality-agnostic molecular design and optimization across the R&D pipeline, in deep partnership with Research leadership spanning small molecules, biologics, and emerging modalities. The scope is explicitly focused on modality-agnostic design and optimization and excludes target identification and validation.

Reporting to the Vice President of Research Business Insights & Technology (BI&T), this individual will accelerate the shift from technology layered onto traditional workflows to computationally based, AI-driven ways of working. In partnership with research scientists, Computational Sciences leaders, and BMS’s R&D Data organization, the role will advance a multi-year vision for integrated AI, data, and systems—ensuring design data and knowledge flow seamlessly across Research and into Development. As a member of the BI&T leadership team, this leader will serve as a trusted partner to Research leaders to align priorities, roadmaps, and adoption across the organization.

Mission & Impact

• Set a cohesive, modality-agnostic technology and AI strategy for molecular design and optimization across Research.

• Deliver an integrated design ecosystem that reduces fragmentation and enables interoperable workflows, tools, and data.

• Enable scalable adoption of AI/ML, modeling & simulation, and generative design within scientists’ day-to-day work.

• Establish closed-loop, data-driven design capabilities that improve learning speed and decision quality across the candidate lifecycle.

• Translate Research strategy into a prioritized, measurable roadmap—aligning leaders across Chemistry, Biology, and Computational Sciences.

• Drive change management and operating-model shifts so new capabilities are used consistently and deliver measurable impact.

Key Responsibilities

• Own the end-to-end technology strategy and roadmap for molecular design and optimization across modalities (small molecule, biologics, and emerging).

• Align priorities and drive delivery in close partnership with Discovery Biology, Medicinal Chemistry, Computational Sciences, and lab leadership.

• Select and scale core platforms and tools for structure-based design, modeling & simulation, AI/generative design, and design-workflow visualization.

• Architect and deliver an integrated design ecosystem (interoperable tools, datasets, and workflows) to reduce fragmentation and improve usability.

• Deliver measurable outcomes (e.g., DMTA cycle-time reduction; closed-loop optimization) through AI/ML, generative, and agentic capabilities.

• Own compound and entity registration systems and workflows, partnering with the R&D Data organization on the registered-entity data product.

• Ensure operational excellence (reliability, performance, support, and governance) for design platforms and integrated applications.

• Connect upstream Research with downstream Development (e.g., CMC and Manufacturing IT) so Development learnings flow back into design decisions.

• Build and lead a high-performing organization (talent, culture, performance) and manage external partnerships (vendors, startups, academic collaborators).

Required Experience & Qualifications

• Ph.D. in Chemistry, Computational Ch