Director, Research

Description SummaryResponsible 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. Main Responsibilities & AccountabilitiesDevelop and maintain data standards for research and lab-generated data, such as assay data, instrument outputs, and metadata, ensuring consistency across platforms and teamsEstablish 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 usageMonitor compliance with established data standards, identifying opportunities for improvement and driving continuous quality enhancementsRepresent 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 practicesSupport data quality, lineage, and traceability efforts, enabling the use of data for advanced analytics, AI/ML applications, and regulatory submissionsProvide training, guidance, and support to internal teams on data standards, ontologies, and governance best practices to ensure consistent adoption across the organizationQualifications & Experience RequirementsBachelor’s or Master’s degree in Life Sciences, Bioinformatics, Data Science, or a related field12+ years of experience in research data management, lab informatics, or data governanceMust have experience working within Research and Life sciencesStrong knowledge of scientific data standards (e.g., Allotrope, AnIML, ISA-Tab), ontologies (e.g., OBI, ChEBI), and metadata frameworksMust have sound experience working within a AI digital strategy team settingExperience with lab systems (e.g., ELN, LIMS, CDS) and data integration platformsExcellent communication, stakeholder engagement, and documentation skills, with the ability to influence and guide teams on data governance best practicesAbout CSL BehringCSL 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.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 and CSL Plasma at .Our Benefits