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

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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 Takedas 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 behind the medicines of the future.

Purpose

The Business Lead AI-native Target Identification & Validation is a foundational leadership role acting as the as the owner and of Takedas Target Identification & Validation product family an integrated family of capabilities spanning the target journey from initial biological hypothesis through validated project-ready target. The role refines the strategic vision for future-state AI-native TIDVAL Labs of Tomorrow capabilities and drives its translation into AI-enabled research 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 target biology and target validation expertise with computational data and technology fluency to ensure that the products built are science-first grounded in real pre-project research workflows and capable of strengthening the target selection decisions that set portfolio direction. Your customers will be Takedas disease area biologists human geneticists computational and systems biologists bioinformaticians translational scientists and therapeutic area leaders. 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 target identification and validation science 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 Takedas business priorities.

This role operates at the program leadership level collaborating directly with Takedas Labs of Tomorrow leadership team to shape portfolio priorities resolve strategic tradeoffs and ensure future-state target identification and validation 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 Target Identification & Validation 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 TIDVAL capabilities articulating the future-state target journey redesigned for AI-native target identification and validation at data scale and breaking it into the underlying capabilities delivered under a single mandate in alignment with overall Research strategy.
• Deliver against that vision by providing business leadership partnering with technical leads and development squads on scope sequencing and priority and holding product teams accountable for outcomes adoption and measurable scientific and business impact.
• Define track and own KPIs business value adoption and scientific impact across the product family maintaining the integrated portfolio view that gives Research leadership a consolidated perspective on progress dependencies risks and opportunities.
• Deeply understand the customer the re-imagined AI-native workflows the decisions they make and unmet needs and represent them throughout development working closely with the lead Subject Matter Experts to define target scientist experiences and to keep development anchored on target biology needs and on the priority capabilities that improve how target hypotheses are built challenged and selected.
• Set business priorities and direction across Research Digital Data & Technology (DD&T) Computational Science and external build partners driving the cross-functional alignment needed to resolve risks dependencies and blockers across the product family.
• Work with the broader Labs of Tomorrow leadership team to set the digital product roadmap scope requirements and investment priorities balancing scientific value strategic importance and implementation readiness.
• Provide informed direction on the strategic technology choices underpinning the product family including platform direction architecture and development sequencing at the level of intent and trade-off rather than detailed evaluation or execution.
• Identify where AI agents predictive models and human genetic multi-omic and clinical data at scale can fundamentally redesign how disease populations are stratified and genetic linkages established and translate those into opportunities in the products.
• Plan and drive adoption of delivered capabilities across therapeutic areas and platform functions ensuring that they lead to measurable scientific and business value.

Qualifications & Competencies

• Expected: Ph.D. in human genetics computational biology systems biology molecular or cell biology or related field with 8 years of progressively responsible experience in pharmaceutical or biotech R&D.
• Demonstrated ownership of a product platform or capability portfolio end to end including roadmap delivery and adoption.
• Demonstrated ability to set strategic direction drive cross-functional alignment and translate scientific ambition into executable product workflow adoption and value-realization strategies in partnership with technology and product teams.
• Experience leading portfolio-level initiatives or transformation programs across discovery computational science digital data product or technology teams.
• Hands-on coding experience including experience coding earlier in career with sufficient technical fluency to engage credibly with software engineers computational scientists data scientists ML scientists and technical leads.
• Demonstrated record of carrying an ambitious vision through to delivered and adopted capability.
• Strong business judgment with ability to prioritize initiatives based on scientific value strategic importance feasibility implementation readiness and measurable impact.
• Strong experience in target identification and validation ideally including one or more of human genetics and genomics functional genomics multi-omic data interpretation disease population stratification disease biology target tractability assessment translational biomarker strategy and/or related AI/ML-enabled target discovery workflows.
• Strong fluency in computational digital data and AI/ML concepts as applied to target identification and validation sufficient to provide informed direction on technology choices and to test technical proposals on business grounds.
• Experience working across scientific digital data informatics automation software or product teams.
• Strong stakeholder management skills including the ability to operate as a single point of accountability across multiple stakeholders and synthesize diverse inputs into clear priorities.
• Ability to influence without direct authority in a complex matrixed environment.
• Strong communication skills with the ability to engage senior leaders scientific stakeholders product managers engineers data scientists and external partners.
• Experience directing external technology partners from the client side holding them accountable to scope timeline and value while working within their product and delivery models.
• Preferred experience with scientific software or AI-driven discovery platforms including target evidence and knowledge platforms public and licensed genetic and omic data resources knowledge graphs literature mining tools or biomarker data platforms.
• Preferred exposure to one or more of the following: AI/ML-enabled discovery applications ontologies and controlled vocabularies for biological entities analytical reproducibility and provenance practices metadata standards data models or AI-ready scientific data.

ADDITIONAL INFORMATION

• The position will be based in Cambridge MA. This position is currently classified as hybrid by Takedas Hybrid and Remote Work policy

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and we strive to be more transparent with our pay practices.

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U.S. Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors including the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

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