Job Description
Director, Research & Labs, Data Standards and Excellence
CSL's R&D organization is accelerating innovation to deliver greater impact for patients. With a project‑led structure and a focus on collaboration, we’re building a future‑ready team that thrives in dynamic biotech ecosystems. Joining CSL now means being part of an agile team committed to developing therapies that make a meaningful difference worldwide.
Reporting to the Executive Director, R&D Data Excellence, lead you will be responsible for defining, implementing, and maintaining data standards and governance frameworks across research and laboratory environments. This role ensures high‑quality, interoperable, and FAIR (Findable, Accessible, Interoperable, Reusable) data to support scientific discovery, digital innovation, and regulatory readiness.
This role has accountability across the R&D and the Technical Operations teams to ensure that data enables the R&D Submission and the Technology Transfer cycle time and milestone targets. In addition, this role has accountability for working with the Search team to identify opportunities and obstacles in external collaborations and acquisitions.
Your Responsibilities
Develop and maintain data standards for research and lab‑generated data, such as assay data, instrument outputs, and metadata, ensuring consistency across platforms and teams
Establish governance frameworks to ensure consistent data capture, annotation, and integration across digital systems (e.g., ELNs, LIMS, data lakes)
Collaborate with scientists, lab managers, IT, and data stewards to embed data standards into lab workflows and digital systems, supporting seamless data integration and usage
Monitor compliance with established data standards, identifying opportunities for improvement and driving continuous quality enhancements
Represent the organization in external data standards bodies and consortia (e.g., Allotrope, FAIR sharing, Pistoia Alliance) to ensure alignment with global data standards and best practices
Support data quality, lineage, and traceability efforts, enabling the use of data for advanced analytics, AI/ML applications, and regulatory submissions
Provide training, guidance, and support to internal teams on data standards, ontologies, and governance best practices to ensure consistent adoption across the organization
Your Qualifications & Experience
Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Data Science, or a related field
12+ years of experience in research data management, lab informatics, or data governance
Must have experience working within Research and Life sciences
Strong knowledge of scientific data standards (e.g., Allotrope, AnIML, ISA‑Tab), ontologies (e.g., OBI, ChEBI), and metadata frameworks
Must have sound experience working within a AI digital strategy team setting
Experience with lab systems (e.g., ELN, LIMS, CDS) and data integration platforms
Excellent communication, stakeholder engagement, and documentation skills, with the ability to influence and guide teams on data governance best practices
If you’re passionate about enabling world‑class research through data, apply now!
CSL is a global biotechnology company with a dynamic portfolio of lifesaving medicines, including those that treat hemophilia and immune deficiencies, vaccines to prevent influenza, and therapies in iron deficiency and nephrology. Since our start in 1916, we have been driven by our promise to save lives using the latest technologies. Today, CSL – including our three businesses, CSL Behring, CSL Seqirus and CSL Vifor – provides lifesaving products to patients in more than 100 countries and employs 32,000 people.
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