Director, Research & Labs, Data Standards and Excellence
CSL
full-time
Posted on:
Location Type: Office
Location: Melbourne • Australia
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Job Level
About the role
- 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
- 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.
Requirements
- 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.
Benefits
- For more information on CSL benefits visit How CSL Supports Your Well-being | CSL
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data standardsdata governancedata qualitydata integrationmetadata frameworksontologiesAI/ML applicationsresearch data managementlab informaticsdigital innovation
Soft Skills
communicationstakeholder engagementdocumentationinfluenceguidance