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About the profile
We are seeking a highly motivated and detail-oriented Semantic Data Modeler to join our innovative team. In this role, you will design, develop, and maintain semantic data models that form the backbone of intelligent data integration, knowledge discovery, and reasoning in complex domains such as life sciences. This position sits at the crossroads of data modeling, semantic standards, graph technologies, and AI-driven workflows, enabling advanced knowledge representation and data interoperability.

If you are passionate about connecting the dots across complex data ecosystems, thrive on precision and structure, and have a natural ability to think in terms of graphs, hierarchies, and relationships, this role is for you.

This is an opportunity to be at the forefront of the semantic data revolution in life sciences, helping organizations turn complex data into actionable knowledge. You will work with cutting-edge tools and contribute to impactful projects that accelerate discovery, innovation, and better outcomes for patients worldwide.




Responsibilities
1. Semantic Data Modeling
Design and maintain ontologies and vocabularies using RDF, RDFS, OWL, SKOS/SKOS-XL, DCT, DCAT, and many other standard ontologies.
In collaboration with Business Analysists, translate business concepts into semantic models that support interoperability and reasoning.
Ensure semantic models align with web standards (W3C, FAIR) and industry standards (CDISC, SNOMED CT, etc)
Apply validation logic and language (SHACL or ShEx) to ensure model and data quality.

2. Graph Data Management
Model, store, and query data in graph databases (triple stores and property graph systems).
Use SPARQL and other graph query languages (e.g., GraphQL, Cypher, Gremlin) to retrieve and manage knowledge graphs
Optimize graph data pipelines for scalability, performance, and accuracy.

3. Data Transformation & Integration
Design models as integrative parts of implement ETL/ELT pipeli

📌 Semantic Data Modeler (Barcelona)
🏢 MIGx
📍 Barcelona