Clinical Data Advisory Lead

Clinical Data Advisory Lead Overview

Capgemini is seeking a highly experienced professional to join their team as a Pharma R&D Data Advisory Lead. This role involves guiding pharmaceutical and life sciences clients through digital transformation initiatives focused on research and development (R&D) processes. The successful candidate will serve as a trusted advisor, helping clients leverage data, AI, semantic technologies, and automation to innovate and improve efficiency across the entire R&D lifecycle.

About the Team

The Data Powered Industries and Domains (DPID) team, part of Capgeminiâ??s Insights and Data division in the UK, is expanding its domain-specific capabilities. The team works at the core of key client relationships, providing expertise on complex data challenges, AI, and analytics. They focus on translating business needs into technological solutions that deliver measurable results, shaping and advancing clientsâ?? data and AI strategies.

Role Focus and Responsibilities

As a Pharma R&D Data Advisory Lead, your primary responsibility will be to advise life sciences clients on transforming their R&D functions through innovative data strategies. You will evaluate existing capabilities, identify opportunities for enhancement, and develop strategic roadmaps that promote scientific innovation, operational efficiency, and data quality. Your work will span multiple R&D functions including Discovery, Translational Sciences, Preclinical, and Clinical development.

You will collaborate with leaders across various R&D domains to ensure technology investments align with business goals. Your expertise will help establish trusted, interconnected data ecosystems by implementing governance frameworks, master data management, and interoperability standards. You will lead the application of semantic technologies such as ontologies and knowledge graphs to facilitate shared understanding across scientific and clinical data systems.

Further, you will identify opportunities for AI and automation, guiding clients on AI readiness, use case prioritization, and responsible adoption. Your strategic input will help design scalable, future-proof architectures that improve interoperability and reduce complexity. Building and maintaining strong relationships with senior stakeholders is essential, as is supporting business development through opportunity identification, proposal shaping, and client presentations.

Candidate Profile and Skills

The ideal candidate will possess a blend of pharmaceutical R&D domain expertise, consulting experience, and strong data and AI knowledge. Experience in leading advisory projects within the Life Sciences sector, especially involving data governance, semantic technologies, and modern data architectures, is highly valued. Familiarity with scientific informatics, laboratory, clinical, regulatory, and safety platforms is important.

Candidates should demonstrate excellent communication skills, with the ability to clearly articulate complex ideas to both technical and non-technical audiences. A collaborative approach, comfort working in ambiguous environments, and a commercial mindset are essential. A passion for continuous learning and staying current with emerging technologies and industry trends is also expected.

Qualifications and Experience

• Deep understanding of pharmaceutical R&D processes and data ecosystems.
• Experience leading digital, data, AI, or transformation initiatives in Life Sciences.
• Knowledge of industry standards, regulatory requirements, and best practices for data management and governance.
• Hands-on experience with semantic technologies, knowledge graphs, and modern data architectures.
• Familiarity with cloud platforms and data solutions relevant to Life Sciences.
• Proven ability to advise senior stakeholders and develop strategic roadmaps and business cases.
• Experience supporting business development activities, including proposal development and client engagement.
• Ability to manage complex programs and balance strategic thinking with pragmatic delivery.

Additional Information

The work environment will be a mix of office, client site, and home-based work, with no role being fully remote. Successful candidates will undergo pre-employment checks, including identity verification, employment history, and criminal record checks.

Benefits and Culture

Capgemini promotes a healthy work-life balance with flexible working options. Employees are encouraged to innovate and develop through extensive training programs, including access to a vast array of courses and certifications. The organization values diversity and fosters a collaborative, inclusive culture that celebrates different backgrounds and perspectives.

Capgemini is committed to helping organizations become more agile and competitive by delivering tailored, innovative solutions to complex problems. The companyâ??s culture emphasizes collaboration, forward-thinking, and continuous improvement, supported by a diverse global workforce.

Degree Requirement: Not Specified

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