Take your career to the next level with Amaris Consulting as a Knowledge Graph Engineer.
Become part of an international team, thrive in a general 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?
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7–10 years of experience in health informatics, bioinformatics, or clinical data domains
Advanced proficiency ingraph-based data modeling, knowledge graph construction, and semantic integration
Deep knowledge ofRDF, OWL, SPARQL, andgraph databases(Neo4j, Amazon Neptune)
Experience with NLP techniques, including working with unstructured biomedical text
Proficiency inCI/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 inEnglishandSpanish
WHAT WILL YOU DO?
Design and implement scalablebiomedical knowledge graphsthat 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