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r d data architect city plan for biotech ai data
R&D Data Architect
CSL Plasma Inc. Maidenhead, Berkshire
R&D Data Architect 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 critical architectural decisions that shape our digital initiatives. 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. Skills & 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. 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 focused on discovering, developing and delivering innovative therapies for conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. The company operates one of the world's largest plasma collection networks. Equal Opportunity Statement 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
08/06/2026
Full time
R&D Data Architect 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 critical architectural decisions that shape our digital initiatives. 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. Skills & 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. 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 focused on discovering, developing and delivering innovative therapies for conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. The company operates one of the world's largest plasma collection networks. Equal Opportunity Statement 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
R&D Data Architect: City Plan for AI-Driven Biotech
CSL Plasma Inc. Maidenhead, Berkshire
CSL Plasma Inc. is looking for a R&D Data Architect to drive architectural thinking rooted in business value. This new role will design and manage the data architecture that facilitates scientific discovery, clinical development, and operational efficiency. The ideal candidate will have over 8 years of experience in data architecture, preferably in the biotech or pharma sectors, and will lead initiatives to improve R&D productivity.
08/06/2026
Full time
CSL Plasma Inc. is looking for a R&D Data Architect to drive architectural thinking rooted in business value. This new role will design and manage the data architecture that facilitates scientific discovery, clinical development, and operational efficiency. The ideal candidate will have over 8 years of experience in data architecture, preferably in the biotech or pharma sectors, and will lead initiatives to improve R&D productivity.
AskBio
Associate Director, IT Infrastructure
AskBio Edinburgh, UK
Position Summary We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.   As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.   Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs Lead technical planning and implementation of infrastructure improvements Provide technical guidance on architecture decisions affecting scientific workflows Manage and optimize WEKA storage systems and VSphere virtual environments Support Linux-based scientific computing environments, leveraging managed services as appropriate Implement and maintain monitoring solutions for complex computing environments Participate in capacity planning and performance optimization initiatives Drive infrastructure automation and continuous improvement Manage relationships with vendors and technical partners   Vendor & Contract Management: Manage third-party Linux support contract and contractor relationships Define and monitor service level agreements Ensure contractor compliance with company security policies Review and approve contractor work Manage vendor performance and escalations   Security & Compliance: Act as primary point of contact for parent company security audits Develop and maintain security compliance documentation Coordinate and respond to penetration testing activities Implement security recommendations and remediation plans Ensure infrastructure meets corporate security standards Participate in security incident response planning   Business Continuity: Lead disaster recovery planning for scientific computing infrastructure Coordinate and execute DR testing Maintain DR documentation and procedures Develop and maintain business continuity plans Ensure RPO/RTO objectives are met   Financial Planning & Technical Debt: Develop long-term capital planning for infrastructure Manage infrastructure budget and forecasting for AskBio European locations Identify and track technical debt Create remediation plans for technical debt Provide cost-benefit analysis for infrastructure investments Manage infrastructure lifecycle planning Develop business cases for infrastructure improvements    Key Competencies:   Technical: Infrastructure architecture and design Performance optimization Problem-solving and troubleshooting Security best practices Technical documentation   Business & Management: Contract negotiation and management Budget planning and control Risk management Audit response and compliance Strategic planning Vendor management Cost-benefit analysis   Interpersonal: Strong communication skills Stakeholder management Team collaboration Conflict resolution Customer service orientation Ability to bridge technical and scientific domains   Leadership: Technical leadership Project management Mentoring and knowledge transfer Change management Strategic thinking   Impact Metrics: Success in this role will be measured by: Infrastructure stability and performance improvements Stakeholder satisfaction levels Project delivery effectiveness Technical problem resolution metrics Team collaboration effectiveness Innovation and process improvements   Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.   This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.   ​Minimum Requirements Bachelor's degree in Computer Science, Engineering, or related field 8+ years of experience in infrastructure engineering roles Experience with high-performance computing environments Proven experience supporting GPU-accelerated computing environments Strong understanding of storage systems and networking Experience with infrastructure monitoring and optimization tools Demonstrated ability to work with scientific computing workflows Experience managing vendor relationships and contracts Knowledge of IT security and compliance requirements Experience with disaster recovery planning and testing Understanding of IT financial planning and budgeting Experience with audit responses and compliance documentation Strong experience with Linux administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere   Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical industries Experience with cloud platforms (AWS, Azure) ITIL certification Security certifications (CISSP, CISM, or similar) Experience with GxP compliance Experience with pharmaceutical industry regulations Previous experience managing technical debt in regulated environments
18/11/2025
Full time
Position Summary We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.   As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.   Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs Lead technical planning and implementation of infrastructure improvements Provide technical guidance on architecture decisions affecting scientific workflows Manage and optimize WEKA storage systems and VSphere virtual environments Support Linux-based scientific computing environments, leveraging managed services as appropriate Implement and maintain monitoring solutions for complex computing environments Participate in capacity planning and performance optimization initiatives Drive infrastructure automation and continuous improvement Manage relationships with vendors and technical partners   Vendor & Contract Management: Manage third-party Linux support contract and contractor relationships Define and monitor service level agreements Ensure contractor compliance with company security policies Review and approve contractor work Manage vendor performance and escalations   Security & Compliance: Act as primary point of contact for parent company security audits Develop and maintain security compliance documentation Coordinate and respond to penetration testing activities Implement security recommendations and remediation plans Ensure infrastructure meets corporate security standards Participate in security incident response planning   Business Continuity: Lead disaster recovery planning for scientific computing infrastructure Coordinate and execute DR testing Maintain DR documentation and procedures Develop and maintain business continuity plans Ensure RPO/RTO objectives are met   Financial Planning & Technical Debt: Develop long-term capital planning for infrastructure Manage infrastructure budget and forecasting for AskBio European locations Identify and track technical debt Create remediation plans for technical debt Provide cost-benefit analysis for infrastructure investments Manage infrastructure lifecycle planning Develop business cases for infrastructure improvements    Key Competencies:   Technical: Infrastructure architecture and design Performance optimization Problem-solving and troubleshooting Security best practices Technical documentation   Business & Management: Contract negotiation and management Budget planning and control Risk management Audit response and compliance Strategic planning Vendor management Cost-benefit analysis   Interpersonal: Strong communication skills Stakeholder management Team collaboration Conflict resolution Customer service orientation Ability to bridge technical and scientific domains   Leadership: Technical leadership Project management Mentoring and knowledge transfer Change management Strategic thinking   Impact Metrics: Success in this role will be measured by: Infrastructure stability and performance improvements Stakeholder satisfaction levels Project delivery effectiveness Technical problem resolution metrics Team collaboration effectiveness Innovation and process improvements   Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.   This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.   ​Minimum Requirements Bachelor's degree in Computer Science, Engineering, or related field 8+ years of experience in infrastructure engineering roles Experience with high-performance computing environments Proven experience supporting GPU-accelerated computing environments Strong understanding of storage systems and networking Experience with infrastructure monitoring and optimization tools Demonstrated ability to work with scientific computing workflows Experience managing vendor relationships and contracts Knowledge of IT security and compliance requirements Experience with disaster recovery planning and testing Understanding of IT financial planning and budgeting Experience with audit responses and compliance documentation Strong experience with Linux administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere   Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical industries Experience with cloud platforms (AWS, Azure) ITIL certification Security certifications (CISSP, CISM, or similar) Experience with GxP compliance Experience with pharmaceutical industry regulations Previous experience managing technical debt in regulated environments

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