Position Details
About this role
This role involves designing and implementing data models, schemas, and ontologies to enable AI-native drug discovery. The focus is on creating scalable, FAIR-compliant data architectures and knowledge graphs for Lilly’s research data.
Key Responsibilities
- Design data models
- Create schemas and ontologies
- Implement semantic standards
- Develop knowledge graphs
- Collaborate on data architecture
Technical Overview
The technical scope includes data modeling, semantic web standards (RDF, OWL, SPARQL), knowledge graphs, and data governance, supporting scientific data integration and analysis.
Ideal Candidate
The ideal candidate is a mid-level data architect with expertise in data modeling, ontologies, and knowledge graphs, preferably with experience in scientific or healthcare data environments. Strong skills in semantic web standards and data governance are essential.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with data modeling or ontologies, No background in scientific or healthcare data, Absence of knowledge graph or semantic standards experience
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