At a Glance
- Tasks: Design and manage data architecture to drive R&D transformation and innovation.
- Company: CSL Behring, a global leader in biotherapeutics focused on saving lives.
- Benefits: Comprehensive benefits package, including health support and a culture of inclusion.
- Other info: Join a diverse team committed to innovation and patient care.
- Why this job: Shape the future of R&D data architecture and make a real impact in healthcare.
- Qualifications: 8+ years in data architecture, preferably in biotech or pharma, with strong integration skills.
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 I&T. 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 I&T Enterprise Data teams to ensure R&D aligns with CSL's strategic direction
- 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
- 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
R&D Data Architect in Maidenhead employer: CSL Plasma
CSL Behring is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the biotherapeutics field. With a strong commitment to employee growth, CSL provides extensive training opportunities and encourages a culture of inclusion and belonging, ensuring that every team member feels valued and empowered. Located in a global hub for scientific advancement, employees benefit from access to cutting-edge technologies and a network of professionals dedicated to saving lives through transformative therapies.
StudySmarter Expert Advice🤫
We think this is how you could land R&D Data Architect in Maidenhead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CSL Plasma!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like R&D Data Architect at CSL Plasma.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CSL Plasma.
✨Apply Directly through Our Website
When you find a suitable opening like R&D Data Architect at CSL Plasma, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace R&D Data Architect in Maidenhead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CSL Plasma, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CSL Plasma. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CSL Plasma
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CSL Plasma!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.