PbTake your career to the next level with Amaris Consulting as a Knowledge Graph Engineer. /b /ppBecome part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company. /ppbr/ppbWHAT WOULD YOU NEED? ✍️ /b /pulli7–10 years of experience in health informatics, bioinformatics, or clinical data domains /liliAdvanced proficiency in bgraph-based data modeling /b, knowledge graph construction, and semantic integration /liliDeep knowledge of bRDF, OWL, SPARQL /b, and bgraph databases /b (Neo4j, Amazon Neptune) /liliExperience with NLP techniques, including working with unstructured biomedical text /liliProficiency in bCI/CD environments /b (Jenkins, GitLab, Azure DevOps) and containerization tools (Docker, Singularity) /liliHands-on experience with ontology curation and terminology services (e.g., SNOMED, ICD-10, drug databases) /liliProgramming background in Python and exposure to LLM/NLP integration /liliFluent in bEnglish /b and bSpanish /b /li /ulpbr/pp bWHAT WILL YOU DO? /b /pulliDesign and implement scalable bbiomedical knowledge graphs /b that connect data across the pharmaceutical RD lifecycle /liliModel, ingest, and normalize data into semantic graph structures to ensure long-term maintainability /liliBuild SPARQL/GraphQL/REST services to make graph data accessible to downstream applications /liliCollaborate with NLP and AI teams to enable reasoning, RAG, and predictive features over knowledge graphs /liliExtend biomedical ontologies and maintain synonyms, mappings, and provenance tracking /liliWork with DevOps teams to deploy and monitor the graph infrastructure with high availability and scalability /liliDocument data models, lineage, and flow to ensure transparency and reuse across teams /li /ulpbr/p