Data Modeller

Role Overview: We are seeking an expert Senior Data Modeller to lead our modelling strategy across complex biomedical and scientific domains. You will be responsible for translating ambiguous scientific requirements into robust canonical data models and driving schema review, approval, and publication processes.

• Experience Level: 10+ years overall (with 4+ years strong Data Modelling)
• Availability: 0-1 weeks (plus 1-2 week onboarding)
• Location: UK

• Leadership & Strategy: Lead modelling strategy across data harmonisation, pipeline validation, knowledge graph, and FAIR data product requirements.
• Requirements Translation: Translate ambiguous scientific requirements into clear canonical data models.
• Ontology Management: Make ontology reuse, extension, and mapping decisions (with documented rationale), and define persistent identifiers and consistent provenance fields.
• Risk Mitigation: Identify modelling risks early, including metadata gaps, ontology conflicts, source data quality issues, lineage gaps, and downstream compatibility risks.
• Design & Architecture: Design modular, reusable, and future-proof models aligned to FAIR principles (findability, accessibility, interoperability, reusability) and enterprise standards.
• Technical Implementation: Apply practical experience with LinkML (or equivalent), including classes, slots, ranges, identifiers, constraints, and ontology bindings.
• Lifecycle Management: Manage schema lifecycles via GitHub-based repositories, semantic versioning, tagged releases, and metadata catalogues.
• Stakeholder Collaboration: Partner with Scientific Knowledge Engineering, Causal Biology SMEs, Data Engineering, and Platform teams.