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