5 of 5 Metadata Jobs in the East of England

Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined data contracts Exposure to data quality, observability, and metadata management practices and tools (data validation frameworks, lineage, monitoring, and alerting) Experience enabling analytics, reporting, and AI/ML workloads through curated datasets, performance-optimized ...

Experience with dashboarding, reporting, or interactive visualisation tools Experience with bibliometrics, citation analysis, or citation-network analysis Experience with text mining of scholarly literature, metadata, citations, acknowledgements, or full-text corpora Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £291 monthly ...

ongoing optimisation of email performance and customer engagement. SEO & Website Optimisation Support ongoing SEO improvements across product and collection pages. Optimise on page content, metadata and internal linking to improve organic search performance. Reporting & Analysis Produce weekly trading reports and analyse website performance. Provide insights and recommendations to support trading ...

knowledge bases. A major component of the role will be developing AI-driven approaches to mine scientific literature and automatically extract experimental and biological metadata to enrich MD datasets. You will develop and extend SIFTS (Structure Integration with Function, Taxonomy and Sequence), a core PDBe resource that provides residue-level … UniProt, PDBe-KB, and other relevant knowledge bases and databases Develop and deploy AI- and machine learning-based approaches for extracting experimental and biological metadata from scientific literature to enrich MDDB datasets and support downstream biological interpretation. Extending and maintaining the SIFTS infrastructure and codebase to support integration of molecular ...

knowledge bases. A major component of the role will be developing AI-driven approaches to mine scientific literature and automatically extract experimental and biological metadata to enrich MD datasets. You will develop and extend SIFTS (Structure Integration with Function, Taxonomy and Sequence), a core PDBe resource that provides residue-level … UniProt, PDBe-KB, and other relevant knowledge bases and databases Develop and deploy AI- and machine learning-based approaches for extracting experimental and biological metadata from scientific literature to enrich MDDB datasets and support downstream biological interpretation. Extending and maintaining the SIFTS infrastructure and codebase to support integration of molecular ...