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Executive Director, Molecular Design Technology; BI&T

Job in New Bedford, Bristol County, Massachusetts, 02746, USA
Listing for: SwiftCruit
Full Time position
Listed on 2026-07-13
Job specializations:
  • Research/Development
    AI Business & Operations
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 262480 - 318064 USD Yearly USD 262480.00 318064.00 YEAR
Job Description & How to Apply Below
Position: Executive Director, Molecular Design Technology (BI&T)

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.

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.
  • 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 Chemistry, Structural Biology, Bioinformatics, or related field.

15+ years of experience in drug discovery, with:

  • Deep experience in molecular design (small and/or large molecule).
  • 10+ years operating at the intersection of science and technology/IT.
  • Proven track record of leading technology‑enabled transformation in a pharmaceutical or biotech R&D environment.
  • Demonstrated experience implementing or scaling:
    • Molecular modeling platforms
    • AI/ML‑driven drug design capabilities
    • Integrated scientific data environments
  • Strong understanding of end‑to‑end drug discovery workflows, particularly within design and optimization phases.
  • Experience deploying GenAI and agentic capabilities into scientist workflows, and driving DMTA cycle‑time reduction or comparable closed‑loop optimization.
  • Experience operating at Director/Senior Director level or above, with readiness for Executive Director scope.
Critical Capabilities
  • Scientific Depth + Digital Fluency: Ability to engage deeply with scientists while architecting modern, scalable technology solutions.
  • Strategic Thinking: Can define a clear future‑state vision while navigating current‑state constraints and fragmentation.
  • Systems Integration Mindset: Sees across tools, data, and workflows to create cohesive, end‑to‑end solutions.
  • AI/Innovation Orientation: Strong grasp of emerging technologies (AI/ML, generative models) and their practical application in molecular design.
  • Influence Without Authority: Builds trust and alignment across senior scientific and technology stakeholders.
What Differentiates Top Candidates
  • Experience driving AI‑enabled molecular design transformation at scale.
  • Background bridging bench science,…
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