Lead, AI-Native Discovery Automation & Robotics

Takeda

Boston (MA)

Hybrid

USD 212,000 - 333,000

Full time

7 days ago
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Job summary

Takeda seeks a Business Lead for AI-native Discovery Automation & Robotics to own vision, strategy and adoption of a 24/7 lab orchestration platform. You’ll bridge science, data and automation, directing product direction and coordinating with SME leads and internal partners to maximize scientific and business value.

You will collaborate with researchers, automation engineers and platform scientists to ensure the product remains grounded in laboratory realities, scalable and reliable for

Qualifications

  • PhD in engineering, chemistry, biology, lab automation or related field.
  • Demonstrated ownership of a product, platform or capability portfolio end to end.
  • Ability to set strategic direction and translate science into executable product strategies.
  • Experience leading cross-functional discovery, digital, data, or automation teams.
  • Hands-on coding experience and technical fluency to engage with engineers.

Responsibilities

  • Own the strategic vision for discovery automation and robotics product suite.
  • Lead adoption and measure scientific and business impact across the portfolio.
  • Translate customer needs into target experiences with SME input.
  • Collaborate with Labs of Tomorrow leadership to set roadmaps and priorities.

Skills

Lab automation
AI/ML concepts
Cross-functional leadership
Strategic thinking
Communication

Education

Ph.D. in engineering, chemistry, biology, laboratory automation or related field

Tools

ELN/LIMS
Instrument scheduling
Control software

Job description

Takeda seeks a Business Lead for AI-native Discovery Automation & Robotics to own vision, strategy and adoption of a 24/7 lab orchestration platform. You’ll bridge science, data and automation, directing product direction and coordinating with SME leads and internal partners to maximize scientific and business value.

You will collaborate with researchers, automation engineers and platform scientists to ensure the product remains grounded in laboratory realities, scalable and reliable for

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