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Urgent! Knowledge Graph Engineer Job Opening In valència – Now Hiring Amaris Consulting

Knowledge Graph Engineer



Job description

Take your career to the next level with Amaris Consulting as a Knowledge Graph Engineer.

Become 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.


WHAT WOULD YOU NEED?

✍️

  • 7–10 years of experience in health informatics, bioinformatics, or clinical data domains
  • Advanced proficiency in graph-based data modeling , knowledge graph construction, and semantic integration
  • Deep knowledge of RDF, OWL, SPARQL , and graph databases (Neo4j, Amazon Neptune)
  • Experience with NLP techniques, including working with unstructured biomedical text
  • Proficiency in CI/CD environments (Jenkins, GitLab, Azure DevOps) and containerization tools (Docker, Singularity)
  • Hands-on experience with ontology curation and terminology services (e.g., SNOMED, ICD-10, drug databases)
  • Programming background in Python and exposure to LLM/NLP integration
  • Fluent in English and Spanish


WHAT WILL YOU DO?

  • Design and implement scalable biomedical knowledge graphs that connect data across the pharmaceutical R&D lifecycle
  • Model, ingest, and normalize data into semantic graph structures to ensure long-term maintainability
  • Build SPARQL/GraphQL/REST services to make graph data accessible to downstream applications
  • Collaborate with NLP and AI teams to enable reasoning, RAG, and predictive features over knowledge graphs
  • Extend biomedical ontologies and maintain synonyms, mappings, and provenance tracking
  • Work with DevOps teams to deploy and monitor the graph infrastructure with high availability and scalability
  • Document data models, lineage, and flow to ensure transparency and reuse across teams



Required Skill Profession

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