Semantic Data Architect for Life Sciences Graphs

MIGx AG; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

25 holiday days per year

Career development

Employee-centric culture

Training programs

International company

Friendly atmosphere

Job summary

MIGx is a global consulting firm focused on healthcare and life sciences, seeking a Semantic Data Modeler to design and maintain semantic data models enabling data integration, knowledge discovery, and reasoning across complex domains.

You will work at the intersection of data modeling, semantic standards, graph technologies, and AI-driven workflows, collaborating with cross-functional teams to deliver scalable solutions in life sciences.

Qualifications

• Proven extensive expertise in semantic standards: RDF, RDFS, OWL, SKOS/SKOS-XL, DCT, DCAT…
• Hands-on experience with graph databases (e.g., GraphDB, Stardog, Neo4j, Amazon Neptune)
• Strong proficiency in SPARQL; working knowledge of GraphQL, Cypher, or Gremlin
• Familiarity with validation languages: SHACL is a must have
• Solid understanding of data modeling principles and relational/NoSQL systems
• Experience in ETL/ELT pipelines, NLP-based data integration, and data quality management
• At ease with AI/ML workflows and the use of LLMs for semantic work
• Attention to detail and commitment to high-quality deliverables
• Natural ability to connect the dots across abstract and concrete concepts
• A visual/graphical/3D thinking brain: comfortable conceptualizing networks, hierarchies, and relationships
• Excellent documentation and communication skills: able to explain semantic concepts clearly to senior management
• Proactive, curious, and eager to explore and adopt emerging semantic technologies
• Inventive: propose innovative approaches to model and manage data using graphical approaches

Responsibilities

• Semantic Data Modeling: design ontologies and vocabularies using RDF, RDFS, OWL, SKOS/SKOS-XL, DCT, DCAT.
• Translate business concepts into semantic models to support interoperability and reasoning.
• Ensure models align with web standards (W3C, FAIR) and industry standards (CDISC, SNOMED CT).
• Apply validation logic and SHACL or ShEx to ensure data quality.
• Graph Data Management: model, store, and query data in graph databases; use SPARQL and GraphQL/Cypher/Gremlin.
• Optimize graph data pipelines for scalability, performance, and accuracy.
• Data Transformation & Integration: design models for ETL/ELT pipelines to extract from structured and unstructured data into semantic/graph systems.
• Integrate semantic models with NLP techniques for semantic enrichment of text-derived knowledge.
• Collaborate with data engineers and scientists to ensure smooth ingestion and alignment of heterogeneous datasets.
• Quality & Governance: define semantic data governance, document mappings, and contribute to metadata standards.
• Work in an Agile/Scrum environment, delivering iterative improvements and collaborating with cross-functional teams.
• Contribute to DevOps and MLOps practices in semantic pipelines.
• Business Acumen: leverage life sciences knowledge to tailor solutions for biotech and pharma needs.

Skills

Semantic standards

Graph databases

SPARQL

Validation languages

Data modeling

ETL/ELT pipelines

NLP integration

AI/ML workflows

Documentation

Tools

GraphDB

Stardog

Neo4j

Amazon Neptune

SPARQL engines

Job description

MIGx is a global consulting firm focused on healthcare and life sciences, seeking a Semantic Data Modeler to design and maintain semantic data models enabling data integration, knowledge discovery, and reasoning across complex domains.

You will work at the intersection of data modeling, semantic standards, graph technologies, and AI-driven workflows, collaborating with cross-functional teams to deliver scalable solutions in life sciences.