Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy and Products
EUR 52K-80K (estimate) Mid-level Full Time
Tasks
- Build ingestion and curation pipelines for concept normalization
- Create documentation for data dictionaries data lineage and data flow diagrams
- Curate and extend ontologies for biomedical mapping
- Deploy and manage graph database infrastructure for high availability scalability and recovery
- Design scalable knowledge graph infrastructure for data standardization
- Develop SPARQL GraphQL and REST services
- Enable NLP and RAG over graphs
- Maintain synonyms cross references and provenance
- Model graph data for integration and retrieval
- Provide terminology services for search and study design tools
- Support predictive modeling features
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Neptune | Azure DevOps | CI/CD | Containerization | Continuous Delivery | Data Ingestion | Data Modeling | Data Normalization | Docker | Genomics | Git | GitLab | Graph Database | GraphQL | High Throughput | High Throughput Screening | Ingestion Pipeline | Jenkins | Knowledge graph | Linked Data | Metrics monitoring | NLP | Neo4j | OWL | Ontology | Property Graph | Proteomics | RAG | RDF | RDF triple store | RDFS | REST | SPARQL | SQL | Semantic Web | Triple store
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
Data Scientist | Engineer | Graph Engineer | Knowledge Graph Engineer | Scientist
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