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

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

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Director, Research & Labs – Data Standards and Excellence

Key skills