Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy and Products
EUR 60K-85K (estimate) Mid-level Full Time
Tasks
- Build ingestion and curation pipelines
- Curate and extend ontologies
- Deploy and manage graph database infrastructure
- Design knowledge graph infrastructure
- Develop semantic web services
- Enable NLP RAG over graphs
- Maintain documentation data dictionaries data lineage data flow diagrams
- Model and integrate graph data
- Standardize biomedical data
Perks/Benefits
Skills/Tech-stack
Amazon Neptune | Azure DevOps | Biomedical Ontologies | CI/CD | Containerization | Controlled Terminologies | Data Ingestion | Data Ingestion Pipelines | Data Modeling | Data Normalization | Data integration | DevOps | Disaster Recovery | Docker | Genomics | Git | GitLab | Graph Database | GraphQL | High Availability | High Throughput | High Throughput Screening | Ingestion pipelines | Jenkins | Knowledge graph | Language Processing | Linked Data | Metrics | Monitoring | NLP | Natural Language | Natural Language Processing | Neo4j | OWL | Ontology Development | Ontology mapping | Property graphs | Proteomics | RAG | RDF | RDF triple stores | REST | SPARQL | SQL | Scalability | Semantic Technologies | Semantic Web | Semantic data | Semantic data modeling | Terminology services | Triple-Stores
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
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