Clinical Data Layer Lead - AI & Data Strategy

UCB; Slough; Híbrido; GBP 110.000 - 150.000; Jornada completa

Descripción de la vacante

UCB is seeking a Clinical Data Layer Lead to own the vision, strategy, governance, adoption, and ongoing development of the Clinical Data Layer within the Biometrics & Data Science team. Based in Slough (UK) with hybrid work, you will enable secure data movement from source systems to trusted data products across the clinical lifecycle.

You will collaborate with Clinical Data Management, Medical, Regulatory Affairs, and external partners, shaping data architecture, governance, and AI-enabled

Formación

• Degree in data science, computer science, or related field.
• Experience in clinical development, biometrics, or related pharma domain.
• Led large-scale transformation involving clinical data in regulated environments.
• Understanding of data standards, metadata, governance, and lifecycle.

Responsabilidades

• Define long-term vision, roadmap, and governance for the Clinical Data Layer.
• Establish governance for data products, metadata, quality controls, and access.
• Partner with architecture and technology teams to enable scalable data flows.
• Shape AI, automation, semantic models, and knowledge graphs.
• Drive cross-functional alignment and adoption through training and change management.
• Ensure regulated use with validation support, data integrity, auditability, and risk management.

Conocimientos

Strategic governance

Stakeholder engagement

Cross-functional leadership

Cloud data platforms

Data governance

Educación

Data science / related field degree

Herramientas

APIs

Data lakes

Cloud data platforms

Knowledge graphs

Descripción del empleo

UCB is seeking a Clinical Data Layer Lead to own the vision, strategy, governance, adoption, and ongoing development of the Clinical Data Layer within the Biometrics & Data Science team. Based in Slough (UK) with hybrid work, you will enable secure data movement from source systems to trusted data products across the clinical lifecycle.

You will collaborate with Clinical Data Management, Medical, Regulatory Affairs, and external partners, shaping data architecture, governance, and AI-enabled