Business Lead, AI-native Target Identification & Validation (TIDVAL)

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Job Description

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Business Lead, AI-native Target Identification & Validation (TIDVAL)

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 Target Identification & Validation is central to realizing this vision. The scientist will be responsible for Takeda's next-generation target identification and validation 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 target evaluation environment should be in a future where AI agents, foundational disease models, world models, predictive models, and human genetic, multi-omic, and clinical data at scale are the basis of how disease populations are stratified, genetic linkages to disease are established, and target hypotheses are built and defended. Our ambition is for this product to become the primary environment through which Takeda scientists will identify, evaluate, and select the targets