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Executive Director, Molecular Design Technology

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • Research/Development
    AI Business & Operations, Research Scientist
Salary/Wage Range or Industry Benchmark: 180000 - 320000 USD Yearly USD 180000.00 320000.00 YEAR
Job Description & How to Apply Below
Location: California

  • 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).
Requirements
  • 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
ATS Optimization Keywords Hard Skills
  • Molecular Modeling Platforms
  • Drug Discovery Workflows
  • Structure-Based Design
  • Modeling & Simulation
  • Generative Design
  • Design-Workflow Visualization
  • Closed-Loop Optimization
  • DMTA Cycle-Time Reduction
  • Agentic Capabilities
  • Computational Sciences
Soft Skills
  • Leadership
  • Collaboration
  • Strategic Alignment
  • Operational Excellence
  • Performance Management
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