At a Glance
- Tasks: Design and manage data architecture for groundbreaking R&D projects.
- Company: Join CSL, a leader in biotech innovation with a focus on data and AI.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Shape the future of R&D data architecture and drive impactful scientific discoveries.
- Qualifications: 8+ years in data architecture, preferably in biotech or pharma.
The predicted salary is between 70000 - 90000 £ per year.
CSL R&D is driving significant transformation — accelerating its data and AI ambitions in a way that demands architecture thinking rooted in business value, not just technical delivery. The R&D Data Architect is a brand new role, created to make that ambition a reality. This role is responsible for designing and managing the data architecture that connects scientific discovery, clinical development, regulatory compliance, and operational efficiency — across both internal and external data sources. You will define and promote the future-state vision for R&D data architecture — the City Plan — and guide the critical architectural decisions that shape our digital initiatives. That means owning the enterprise data model, defining master data sources, and ensuring integration across platforms, while also serving as the interface between R&D and enterprise IT. The scope spans data, integration, automation, and AI.
Key responsibilities
- Lead the design, development and evolution of R&D data architecture
- Collaborate with the R&D Architecture Lead, Head of R&D Data Strategy, Digital Business Partners, scientists, engineers and Product teams to align data architecture with R&D goals and overall business strategy
- Evaluate emerging data trends and propose innovations to enhance R&D productivity and enable next-generation research solutions
- Ensure architectural compliance with security, scalability, and regulatory standards
- Mentor technical teams, promoting best practices in data architecture across projects
- Partner with IT Enterprise Data teams to ensure R&D aligns with CSL's strategic direction
Key deliverables
- R&D data architecture City Plan
- End-to-end data flow models for key R&D data entities, detailing how data are generated and move across operational and business applications
- Comprehensive data architectural documentation, roadmaps and reference patterns
- Integration and platform data architecture designs
- Automation and AI data architecture designs
Skills and experience
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
- 8+ years of experience in data architecture, with at least 3 years in an R&D biotech or pharma environment
- Proven track record in integration patterns, data flow models, enterprise data models and cloud-native data architectures
- Experience with R&D platforms in biotech or pharma, including clinical system data flow and data product consumption models
- Awareness of the data aggregator vendor landscape and hands‑on working experience
- Strong knowledge of data modelling best practices
- The ability to operate at strategic and technical levels equally — communicating complex architectural concepts clearly to cross‑functional audiences, and engaging upwards without surprises
- High learning agility and genuine motivation to stay at the leading edge of data architecture
- Experience with knowledge graphs, semantic and logic layers is desirable, as is TOGAF familiarity
CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit Apply via the company portal.
R&D Data Architect in Maidenhead employer: CSL
CSL R&D is an exceptional employer, fostering a culture of innovation and collaboration in the heart of the biotech industry. With a strong commitment to employee growth, we offer opportunities for mentorship and professional development, ensuring that our team members are equipped to lead in the evolving landscape of data architecture. Our inclusive work environment prioritises diversity and encourages creative thinking, making CSL R&D a rewarding place to advance your career while contributing to meaningful scientific advancements.
