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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. This role involves designing, developing, and maintaining semantic data models for intelligent data integration, knowledge discovery, and reasoning in complex domains like life sciences. The position requires a blend of data modeling, semantic standards, graph technologies, and AI-driven workflows.
**Responsibilities:**
* **Semantic Data Modeling:** Design and maintain ontologies and vocabularies using RDF, RDFS, OWL, SKOS/SKOS-XL, DCT, DCAT, and other standard ontologies. Translate business concepts into semantic models that support interoperability and reasoning, ensuring alignment with web (W3C, FAIR) and industry standards (CDISC, SNOMED CT, etc.). Apply validation logic (SHACL or ShEx) for model and data quality.
* **Graph Data Management:** Model, store, and query data in graph databases (triple stores and property graph systems). Use SPARQL and other graph query languages (GraphQL, Cypher, Gremlin) for knowledge graph retrieval and management. Optimize graph data pipelines for scalability, performance, and accuracy.
* **Data Transformation & Integration:** Design models as integral parts of 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 of text-derived knowledge. Collaborate with data engineers and scientists for seamless ingestion and alignment of heterogeneous datasets.
* **Quality & Governance:** Define semantic data governance practices to ensure consistency, traceability, and reusability. Document modeling choices, schema evolution, and semantic mappings thoroughly. Contribute to metadata standards and data stewardship practices.
* **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.
* **Business Acumen:** Apply understanding of the life sciences, particularly biotech and pharma sectors, to tailor solutions.
**Requirements (Must have):**
* **Hard Skills:**
* 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 mandatory.
* Solid understanding of data modeling principles and relational/NoSQL systems.
* Experience in ETL/ELT pipelines, NLP-based data integration, and data quality management.
* Comfort with AI/ML workflows and the use of LLMs for semantic work.
* **Soft Skills:**
* Attention to detail and commitment to high-quality deliverables.
* Ability to connect abstract and concrete concepts.
* Strong working/semantic memory and ability to manage complex model dependencies.
* Visual/graphical/3D thinking aptitude for conceptualizing networks, hierarchies, and relationships.
* Excellent documentation and communication skills, capable of explaining semantic concepts clearly.
* Proactive, curious, and eager to adopt emerging semantic technologies.
* Inventive and able to propose innovative data modeling and management approaches.
**Requirements (Nice to have):**
* Highly organized with strong personal knowledge management practices.
* Collaborative team player with the ability to influence and support others.
* Problem-solver who thrives in complex, multidisciplinary environments.
* Enthusiasm for life sciences, biotech, or pharma.
**What we offer:**
* Excellent compensation package
* Family Insurance Package
* Modern office in a good location
* Opportunities for career development and shaping the company’s future
* Employee-centric culture where feedback is valued
* Various training programs for personal and professional development
* Work in a fast-growing, international company
* Friendly atmosphere and supportive management team