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**Job Title:** Semantic Data Modeler
**Location:** Batumi
**Company:** MIGx
**Job Description:**
MIGx is seeking a highly motivated and detail-oriented Semantic Data Modeler to join their 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.
**Responsibilities:**
1. **Semantic Data Modeling:**
* Design and maintain ontologies and vocabularies using RDF, RDFS, OWL, SKOS/SKOS-XL, DCT, DCAT, and other standard ontologies.
* Collaborate with Business Analysts to 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 pipelines to automate knowledge extraction from structured and unstructured data into semantic/graph-based systems.
* Integrate semantic models with NLP techniques for semantic enrichment/annotation of text-derived knowledge.
* Collaborate with data engineers and scientists to ensure smooth ingestion and alignment of heterogeneous datasets.
4. **Quality & Governance:**
* Define semantic data governance practices ensuring consistency, traceability, and reusability.
* Document modeling choices, schema evolution, and semantic mappings thoroughly.
* Contribute to metadata standards and data stewardship practices.
5. **Collaboration & Continuous Improvement:**
* Work in an Agile/Scrum environment, delivering iterative improvements.
* Collaborate closely with cross-functional teams (data engineers, scientists, domain experts, AI specialists).
* Contribute to DevOps and MLOps practices in semantic pipelines.
6. **Business Acumen:**
* Bring as much understanding of the life sciences as possible, particularly in the context of biotech, and pharma sectors, to tailor solutions to industry-specific needs.
**Requirements – Must have:**
* **Hard skills:**
* 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.
* **Soft skills:**
* Attention to detail and commitment to high-quality deliverables.
* Natural ability to connect the dots across abstract and concrete concepts.
* Strong working/semantic memory and ability to juggle complex model dependencies.
* 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.
**Requirements – Nice to have:**
* Highly organized with strong personal knowledge management practices.
* Collaborative team player with the ability to influence and support others.
* A problem-solver who thrives in complex, multidisciplinary environments.
* Enthusiastic about life sciences, biotech, or pharma, with a desire to support research and innovation.
**What we offer:**
* Excellent compensation package.
* Family Insurance Package.
* Modern office in a very good location.
* Possibilities of career development and the opportunity to shape the company future.
* An employee-centric culture directly inspired by employee feedback.
* Different training programs to support personal and professional development.
* Work in a fast-growing, international company.
* Friendly atmosphere and supportive Management team.