Business Lead, AI-native Large Molecule / Biologics Discovery

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Job Description: Business Lead, AI-native Large Molecule / Biologics Discovery: Takeda is transforming how medicines are discovered by building a new Research engine where AI, advanced data platforms, and laboratory automation are embedded directly into how scientists design and discover molecules, run experiments, and make decisions. Our Labs of Tomorrow vision connects computational science, scientific data, and automated experimental workflows into a closed-loop discovery engine that will enable us to design smarter studies, shorten learning cycles, and deliver clearer evidence earlier in discovery with the ultimate goal of discovering differentiated medicines for patients.

The Business Lead, AI-native Large Molecule Discovery is central to realizing this vision. The scientist will be responsible for Takeda’s next-generation large molecule discovery AI-native software product owning the scientific vision, customer experience, product strategy, roadmap, adoption, and ultimately the value it creates for our drug discovery. The Business Lead will define and answer what the large molecule discovery platform should be in a future where AI agents, predictive models, scientific data and automated experimentation are the basis of large molecule drug discovery. Our ambition is for this product to become the primary environment through which Takeda scientists will design and discover the large molecule medicines of the future.

Purpose: The Business: Lead, AI-native Large Molecule Discovery: is a foundational leadership role, acting as the as: the owner and of Takeda’s: Large Molecule discovery product family: , an integrated family of capabilities spanning the full biologics discovery journey. The role refines the strategic vision for future-state AI-native Large Molecule Labs of Tomorrow capabilities and drives its translation into AI-enabled discovery workflows, product direction, adoption, and measurable scientific and business value by working with both relevant internal and external stakeholders.

The successful candidate will lead this portfolio as a business owner on the side of the internal customer, combining deep large molecule discovery expertise with computational, data, and technology fluency: to ensure that the products built are science-first, grounded in real discovery workflows, and capable of delivering meaningful value across the biologics portfolio. Your customers will be Takeda’s protein engineers, computational biologists, antibody discovery scientists, structural biologists, analytical and developability scientists, DMPK scientists and safety scientists. The role carries sufficient technical fluency to provide informed direction on the strategic technology choices underpinning the product family, at the level of intent and trade-off rather than detailed evaluation or execution.

This is a unique opportunity: for an exceptional leader who can combine deep understanding of large molecule discovery with strong computational, data, and technology fluency: , and who will ensure that the applications developed are scientifically grounded, technically actionable, adoptable by end users, and aligned with Takeda’s business priorities.

This role operates at the program leadership level, collaborating directly with Takeda’s “Labs of Tomorrow” leadership team to shape portfolio priorities, resolve strategic tradeoffs, and ensure future-state large-molecule discovery capabilities advance from vision to measurable scientific and business impact. The role provides day-to-day direction to the technical leads and development squads working on the Large Molecule discovery product family, and is interacting closely with the SME leads. The role will also interface with the other Product Leads to ensure extensibility across the suites of products.

Accountabilities:

• Own and refine the strategic vision for future-state Large Molecule capabilities, articulating the future-state biologics discovery journey, redesigned for AI-native, and increasingly automated drug discovery, and breaking it …