Head of Analytical Data & Statistics

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Head of Analytical Data & Statistics in our Cambridge office. At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life‑changing work.

Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Here, you will be a vital contributor to our inspiring, bold mission.

Establish and continuously improve statistical and analytical standards, methods, and governance for the organization. Ensure robust data architecture, collection, validation, and quality control processes to maintain data integrity and traceability. Embed analytics into study/assay design and milestone decisions through close partnership with cross‑functional teams. Deliver clear, actionable insights and visual reporting that inform program strategy, prioritization, and resource allocation. Drive adoption of modern analytical tools and data automation to improve speed, reproducibility, and scalability (e.g., AI-assisted generation and modelling where appropriate).

Maintain compliance with applicable regulations and industry best practices for statistical analysis and data management. Develop team capability through hiring, coaching, training, and performance development.

• Lead and manage the Analytical Data and Statistics team to deliver high-quality data analysis and reporting.
• Develop and implement advanced statistical methods and analytical frameworks to support biotechnology research and development.
• Collaborate with cross-functional teams to integrate data analytics into experimental design and decision‑making processes.
• Oversee data collection and architecture, validation, and quality control procedures to ensure data integrity and compliance with regulatory requirements.
• Drive innovation in data analytics by evaluating and adopting new tools, technologies, and methodologies.
• Present analytical findings and insights to senior leadership to guide strategic planning and project prioritization.
• Ensure compliance with industry standards, guidelines, and best practices in statistical analysis and data management.
• Mentor and train team members to build expertise in statistical techniques and data analytics.

Technical/Functional (Line) Expertise:
Deep expertise in applied statistics for Analytical Development (e.g., DoE, regression/multivariate methods, variance components, measurement system analysis, stability trending, and comparability assessments). Strong command of analytical data types and workflows (chromatography, electrophoresis, mass spectrometry, potency/bioassays) and the key sources of variability that drive method performance. Experience defining and governing data standards, statistical analysis plans, and fit‑for‑purpose acceptance criteria for method development, qualification/validation, and lifecycle management.

Proficiency with modern analytics tooling (R/Python/SAS or equivalent), reproducible workflows (version control, code review), and visualization/dashboarding practices. Understanding of GxP‑relevant data integrity and compliance expectations (ALCOA+, audit trails, validation of computerized systems) and how they apply to analytical data and reporting. Capability to translate complex analyses into decision‑ready…