Job Title

Data Governance LeadLocation: Hybrid (London or Remote, UK-based preferred) Team: Data & Scientific Computing Type: Full-time, Individual ContributorThe OpportunityWe’re looking for a Data Governance Lead to scale our internal data governance practice. You will work cross-functionally with data scientists, ML engineers, software developers, and wet lab scientists to ensure our datasets are FAIR (Findable, Accessible, Interoperable, Reusable), compliant, and scientifically valuable.This is a hands-on, individual contributor role — ideal for someone who thrives on structure, clarity, and pragmatic problem-solving, and is excited by the challenge of building scalable governance foundations in a fast-moving R&D environment.What You'll DoDesign and implement standards for metadata, documentation, structure, format, and data ownership, ensuring alignment with FAIR principlesCoordinate data stewardship efforts across scientific and technical teams (e.g., Data Science, Machine Learning, Wet Lab, Discovery)Lead the development and adoption of the internal data catalogue, enabling discoverability and traceability of datasetsSupport no-code exploration tools to empower scientists and lab users with intuitive data accessBuild robust documentation and governance workflows for versioning, data lineage, access, and retentionTranslate regulatory and licensing requirements into actionable workflows and policiesPromote best practices for data compliance, quality, and reusability across teamsWhat You'll Bring5+ years’ experience in scientific data management, data governance, bioinformatics, or data engineeringDeep familiarity with FAIR principles, metadata standards, and data catalogue toolsProven ability to work cross-functionally with technical, scientific, and operational teamsHands-on experience with modern data workflows (e.g., Python, data lakes, notebooks, versioning)Understanding of scientific data lifecycles — from generation and ingestion to curation and archivingComfortable operating as an individual contributor, with strong ownership and autonomyBonus PointsExperience implementing no-code/low-code solutions for scientific usersFamiliarity with compliance frameworks (e.g., data licensing, GDPR, IP/data rights in scientific settings)Exposure to knowledge management systems and internal data enablement initiativesWho You AreThoughtful communicator and effective collaborator across disciplinesStructured, pragmatic, and hands-on — with a natural drive to bring clarity to complex systemsComfortable in ambiguous or evolving environmentsUser-focused, feedback-driven, and motivated to make data truly usable and impactful