Head, Data & Quantitative Sciences DD&T

Role: Head of DQS DD&T at Takeda, leading the data, AI, and technology strategy for the R&D Data & Quantitative Sciences function.

Responsibilities

• partner with DQS leadership to develop and execute a technology roadmap aligned with pipeline decision-making, trial design, and regulatory processes
• oversee the end-to-end technology portfolio ensuring reliability, validation, and compliance
• drive transformation applying AI and automation across clinical data workflows
• enable scientists with data platforms, AI tools, and model deployment capabilities
• lead a global team, manage budgets and external vendors
• promote a culture of innovation, agility, and inspection readiness.

Requirements

• Bachelor's degree
• 12+ years in pharma/biotech R&D tech, with leadership experience managing teams and budgets
• proven ability to partner with biometrics, data science, and scientific stakeholders
• deep knowledge of GxP, validation, data integrity
• familiarity with statistical environments, regulatory submission workflows, AI in regulated settings.

Preferred

• hands-on biostatistics or data science background
• experience with AI, machine learning, automation, and global delivery models.

High Value

• strategic role shaping AI-driven transformation within regulated clinical and development workflows, based in Cambridge, MA, hybrid working.