Degree in Life Sciences, Data Science, Computer Science, or a related field. 2+ years' experience in data curation, data management or data governance. Working knowledge of data standards, models, ontologies and taxonomies. Experience with tools such as Semaphore, Collibra, Protégé, or similar. Strong communication and stakeholder-management skills. More ❯
Ontologist is required by a specialised data consulting organisation to join their team working on a large scale data governance programme and be responsible for designing, implementing, and maintaining ontologies and taxonomies that enable data integration, interoperability, and insight across multiple business domains. You will be responsible for: Designing and maintaining ontologies and taxonomies to support data integration and consistency … graph applications. Developing and promoting standards for data interoperability to enable seamless data exchange and integration across the organization. Ensuring data quality and consistency by implementing validation rules and ontology-driven quality checks. Using ontology development and data curation tools to design, build, maintain, and visualize ontologies, taxonomies, and controlled vocabularies. Applying enterprise data modelling and cataloguing tools to ensure … alignment between metadata, ontologies, and business data assets. Supporting knowledge graph and graph database initiatives, ensuring ontologies underpin scalable, AI-ready data architectures. Collaborating closely with stakeholders to gather requirements and align ontological models with business objectives. Required experience and skills: Proven experience designing and managing ontologies and taxonomies across complex data programmes. Strong understanding of semantic web standards and More ❯
governance programme and to be responsible for interpreting and structuring complex data, as well as creating interoperable datasets to support scientific research. You will be responsible for: Designing vocabularies, ontologies, and taxonomies, ensuring data is accurate, consistent, and aligned with best practices. Curating, profiling, and validating datasets to ensure their quality and usability. Maintaining repositories and ensuring ongoing data accuracy. … Contributing to process improvements and adapting to automation and AI developments Required experience and skills: Extensive experience in data curation in support of scientific research. Knowledge of data standards, ontologies, and taxonomies, and their implementation in centralized repositories. Proficiency with wide range of data curation and data governance tools will be beneficial. Strong communication and stakeholder engagement skills. Experience with More ❯
