Head of AI-Native Small Molecule Discovery Platform

Takeda Pharmaceutical Company Limited

Boston (MA)

Hybrid

USD 212,000 - 333,000

Full time

8 days ago
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Job summary

Takeda in Boston, MA is seeking a Business Lead for AI-native Small Molecule Discovery to own the product family from vision to adoption. You will define target scientist experiences, guide AI-enabled discovery workflows, and translate scientific ambition into measurable value for the research portfolio.

You will lead cross-functional teams of chemists, computational scientists, and software engineers, partnering with the Labs of Tomorrow leadership to set priorities, roadmaps, and successful

Qualifications

  • Ph.D. in computational chemistry, structural biology, data science, medicinal chemistry or related field.
  • Experience leading portfolio-level initiatives with measurable impact.
  • Strong ability to translate scientific ambition into executable strategy.

Responsibilities

  • Own and refine the strategic vision for AI-native small molecule discovery capabilities.
  • Define roadmaps, adoption, and measurable scientific value across the portfolio.
  • Collaborate with scientists and technologists to translate discovery needs into products.
  • Set priorities across Research, DD&T, and external partners to align delivery.
  • Lead adoption and ensure the portfolio delivers business impact.

Skills

Product ownership
Stakeholder management
Communication skills
Cross-functional leadership
AI/ML concepts
Technical fluency
Influence without authority
External partnerships

Education

Ph.D. in computational chemistry or related field

Tools

ELN/LIMS

Job description

Takeda in Boston, MA is seeking a Business Lead for AI-native Small Molecule Discovery to own the product family from vision to adoption. You will define target scientist experiences, guide AI-enabled discovery workflows, and translate scientific ambition into measurable value for the research portfolio.

You will lead cross-functional teams of chemists, computational scientists, and software engineers, partnering with the Labs of Tomorrow leadership to set priorities, roadmaps, and successful

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