Design, build, deploy, and maintain reliable, scalable, and governed research data pipelines and reusable data products supporting Research & Discovery, translational science, analytics, reporting, AI, and scientific decision-making.
Responsibilities
Design and maintain conceptual, canonical, logical, semantic, and physical data models for Research and Discovery data products.
Translate scientific, experimental, and business requirements into reusable enterprise information models.
Define core Research entities, attributes, identifiers, relationships, hierarchies, experimental context, events, and scientific business rules.
Establish canonical representations across laboratories, research sites, source systems, external providers, and data products.
Model structured, semi-structured, unstructured, and multimodal scientific data while preserving provenance and experimental context.
