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For Companies At a Glance
- Tasks: Lead R&D data excellence, ensuring data is standardised and leveraged for insights.
- Company: CSL Behring develops high-quality medicines for rare diseases globally.
- Benefits: Enjoy comprehensive benefits from day one, including health care and financial support.
- Why this job: Join a mission-driven team that values inclusion and innovation in healthcare.
- Qualifications: Advanced degree in Data Science or related field with 10+ years in data strategy.
- Other info: Engage with external partners and lead a high-performing data team.
The predicted salary is between 54000 - 84000 £ per year.
The Position:
The R&D Data Excellence Lead drives the vision, strategy, and execution of data excellence across the R&D organization. This role ensures that data is standardized, governed, and leveraged for advanced insights across scientific, clinical, safety, and regulatory domains. The role serves as a strategic advisor to R&D leadership, overseeing enterprise-aligned data infrastructure, data architecture, and standards to accelerate discovery, development, and decision-making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable.
Responsibilities:
- Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives
- Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data
- Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains
- Ensure compliance with enterprise data governance and facilitate its application across R&D data sets
- Partner with I&T to design and maintain scalable, secure, and interoperable data platforms
- Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers
- Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics
- Foster cross-functional data alignment across clinical, safety, regulatory, and research domains
- Lead and develop a high-performing team of data stewards, scientists, and architects
- Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation
Education & Requirements:
- Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field.
- 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity.
- Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions
- Proven experience in enterprise data governance, architecture, and platform design in GxP environments.
- Familiarity with AI/ML enablement, though not focused on algorithm development.
- Strong stakeholder engagement, communication, and change leadership skills.
- Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC, HL7/FHIR
Our Benefits
CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals.
Please take the time to review our benefits site to see whats available to you as a CSL employee.
About CSL Behring
CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring.
We want CSL to reflect the world around us
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. Learn more Inclusion and Belonging | CSL.
Do work that matters at CSL Behring!
Executive Director, R&D Data Excellence Lead in Maidenhead employer: CSL Behring
Contact Detail:
CSL Behring Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Executive Director, R&D Data Excellence Lead in Maidenhead
✨Tip Number 1
Familiarise yourself with the latest trends in data governance and analytics within the life sciences sector. Understanding how these trends apply to R&D can help you speak confidently about your vision for data excellence during interviews.
✨Tip Number 2
Network with professionals in the industry, especially those who are already in leadership roles related to data strategy. Engaging in conversations with them can provide insights into the challenges they face and how you can position yourself as a solution.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully implemented data strategies in previous roles. Highlighting measurable outcomes will demonstrate your capability to drive data excellence and align with R&D transformation goals.
✨Tip Number 4
Showcase your understanding of compliance and regulatory standards relevant to data management in the life sciences. Being well-versed in these areas will reassure the hiring team of your ability to navigate complex data environments effectively.
We think you need these skills to ace Executive Director, R&D Data Excellence Lead in Maidenhead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data strategy and analytics, particularly in the life sciences industry. Emphasise leadership roles and specific projects that align with the responsibilities of the Executive Director, R&D Data Excellence Lead.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your vision for data excellence in R&D. Discuss how your background aligns with the company's goals and how you can contribute to improving pipeline productivity and operational efficiency.
Highlight Relevant Skills: Focus on showcasing your expertise in enterprise data governance, architecture, and platform design. Mention your familiarity with modern data stacks and any experience with AI/ML enablement, as these are crucial for the role.
Showcase Leadership Experience: Since this role requires strong leadership skills, provide examples of how you've led teams or initiatives in the past. Highlight your ability to engage stakeholders and drive change within an organisation.
How to prepare for a job interview at CSL Behring
✨Understand the R&D Landscape
Familiarise yourself with the current trends and challenges in R&D, especially in data management. Being able to discuss how you can drive data excellence in this context will show your strategic thinking.
✨Showcase Leadership Experience
Prepare examples from your past roles where you've successfully led teams or projects. Highlight your ability to engage stakeholders and drive change, as this is crucial for the Executive Director position.
✨Demonstrate Technical Knowledge
Brush up on your knowledge of data governance, architecture, and modern data stacks. Be ready to discuss specific technologies and methodologies you've used, particularly in GxP environments.
✨Align with Company Values
Research CSL Behring's commitment to inclusion and belonging. Be prepared to discuss how you can contribute to a diverse workforce and foster an inclusive culture within the R&D team.
