Lead, Search & Evaluation, AI and Automation Drug Discovery

About the role

Takeda is seeking an experienced and strategic leader, director level, to identify, evaluate, and advance external innovation opportunities in AI, automation, data, and digital technologies that can accelerate and differentiate our drug discovery capabilities. This individual will bring a deep understanding of the drug discovery landscape together with strong technical fluency in AI/ML, computational sciences, and digital platforms to assess opportunities for partnership, licensing, collaboration, and strategic investment.

Responsibilities

• Proactively scout and evaluate external innovation opportunities across AI, automation, computational sciences, and digital technologies relevant to drug discovery.
• Identify and assess partnership, licensing, collaboration, and strategic investment opportunities across academia, biotechnology companies, technology companies, venture ecosystems, and other relevant external partners.
• Lead or coordinate technical due diligence for external opportunities, engaging internal subject matter experts to assess scientific fit, technical feasibility, strategic alignment, risk, and value potential.
• Synthesize complex diligence findings into clear, actionable recommendations for governance bodies and senior leadership.
• Partner closely with Business Development and cross-functional stakeholders during opportunity assessment and transaction shaping.
• Help define and evolve external innovation priorities aligned to Takeda’s R&D and DD&T strategy.
• Serve as a key external representative of Takeda’s strategic interests in AI and automation for drug discovery.
• Build and maintain a strong network across the biopharma, technology, and venture ecosystem to ensure visibility into emerging trends, capabilities, and partnership opportunities.
• Support evaluation of how external technologies can be deployed to address high-value scientific and operational challenges across drug discovery.

Qualifications

• Bachelor’s degree in a scientific or technical field such as Data Science, Computer Science, Bioinformatics, Engineering, Computational Biology, or a related discipline
• Significant industry experience in pharma, biotech, healthcare, or a closely related innovation environment
• Deep understanding of drug discovery processes, including areas such as target identification and validation, hit identification, optimization, and pre-IND research
• Strong understanding of AI/ML, data, digital technologies, and/or automation platforms relevant to drug discovery
• Demonstrated experience evaluating external technologies, partnerships, or innovation opportunities
• Proven ability to lead complex, cross-functional initiatives and influence senior stakeholders
• Strong written and verbal communication skills, including the ability to present complex technical assessments clearly and effectively to leadership

Preferred Qualifications

• PhD, MD, or other advanced degree in a relevant scientific or technical discipline
• Experience in search and evaluation, external innovation, business development support, or technology strategy
• Experience spanning computational sciences, AI/ML platforms, lab automation, digital research platforms, or related areas
• Strong network across the biopharma, digital health, AI, and technology ecosystem
• Experience operating successfully in matrixed global organizations and influencing across scientific, technical, and business functions

Leadership Capabilities

• Strategic thinker with strong scientific and technical judgment
• Comfortable navigating ambiguity and emerging technology landscapes
• Effective collaborator across research, DD&T, business, and external partner environments
• Able to balance innovation ambition with practical assessment of feasibility, risk, and value
• Skilled at building credibility and influence internally and externally
• Demonstrates initiative, curiosity, sound judgment, and strong decision-making in a fast-paced environment