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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
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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
About CSL Behring
CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.


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CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.
To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/.
Our Benefits
For more information on CSL benefits visit How CSL Supports Your Well-being | CSL.
You Belong at CSL
At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.
To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging
Equal Opportunity Employer
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 https://www.csl.com/accessibility-statement.
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