Senior Data Scientist - Ontology
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Summary
Develops and maintains formal ontologies using OWL 2 axioms and SPARQL, integrating LLM tools to automate pipelines while ensuring logical consistency and data quality in healthcare data.
- Author OWL 2 axioms
- Build and evaluate LLM assisted ontology pipelines
- Collaborate with stakeholders on ontological architecture
- Create source to canonical ontology mappings
- Define record matching rules
- Design and maintain ontology
- Enforce human in the loop validation standards
- Establish formal feedback with data quality
- Ground ontology discovery in data
- Maintain ontology lifecycle with automated checks
- Monitor advances in knowledge representation and ontology engineering
- Translate ontology design into graph and relational specifications
- Validate logical consistency
- Write and evaluate SPARQL queries
