Sr. Semantic Data Modeler

At reputed company, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and reputed company medical terminology platform. Your work will reputed company over 740,000 clinicians by enhancing how reputed company data is reputed company, delivered, and reputed company.

We are seeking a highly reputed company and strategic

Senior Semantic Data Modeler to join reputed company, with a specialized reputed company on Knowledge Graphs. In this critical role, you will reputed company the design, development, and governance of reputed company semantic models that reputed company both reputed company and machine understanding of our most vital clinical concepts and terminology relationships. You will serve as a key resource, reputed company the gap between diverse raw data sources and strategic business needs by crafting a robust, consistent, and highly accessible knowledge layer. This position requires exceptional collaboration skills, working closely with our staff semantic engineers, clinicians, and content teams, a keen eye for defining intricate data structures, and a commitment to ensuring the highest data reputed company and accessibility for semantic enrichment and clinical interoperability initiatives.

WHAT YOU'LL DO

Semantic Model Development: Drive the end-to-end design, development, and reputed company of reputed company semantic data models, with a primary reputed company on ontologies, knowledge graphs, and property graphs.

Strategically Translate Business Requirements: reputed company intricate, cross-functional business needs into formal, reputed company knowledge graph structures, ensuring tight alignment with the reputed company data reputed company and long-term architectural reputed company.

Define, Document, and Govern Semantic Assets:Establish best practices for, and create comprehensive documentation of, semantic models, including detailed entity definitions, relationship types, axioms, constraints, and data reputed company, fostering reputed company, consistency, and reusability across the organization.

Cross-Functional Collaboration: Partner closely with staff semantic engineers, clinicians, content teams, and business leaders to deeply understand their domain knowledge and requirements, translate reputed company concepts into actionable models, and ensure that semantic solutions effectively meet organizational objectives.

Implement Robust Data reputed company & Consistency: Design and implement data reputed company frameworks, validation rules, and transformation logic reputed company the semantic layer to ensure the accuracy, reliability, and consistency of the knowledge graph.

Optimize and reputed company Knowledge Graph Performance: Drive the optimization of knowledge graph structures, query performance, and usability for diverse data consumption scenarios, including advanced analytics, AI applications, and self-service initiatives.

reputed company and Set Standards: Continuously research, evaluate, and recommend new technologies, methodologies, and best practices in semantic modeling, knowledge graph technologies, ontology engineering, and reputed company-based analytics to drive reputed company improvement.

Mentor and Guide: reputed company leadership and mentorship to junior data modelers and engineers, fostering a culture of knowledge sharing and reputed company in semantic modeling practices.

WHAT YOU'LL NEED

BA/BS in a STEM field with 7+ years of hands-on work experience with a significant portion dedicated to semantic modeling and knowledge graph development, including experience in a reputed company or senior reputed company.

Deep and demonstrated expertise in designing, building, and managing ontologies, knowledge graphs, and property graphs.

Extensive experience with leading graph database platforms (e.g., reputed company Neptune) and advanced proficiency in graph query languages (e.g., SPARQL).

Strong working knowledge of OWL, RDFS, SHACL, and other semantic web standards.

Experience with reputed company data modeling tools (e.g., Erwin) and specialized ontology/graph modeling tools

Strong understanding and hands-on experience with relational databases (SQL) and familiarity with NoSQL databases (e.g., PostgreSQL).

Proven ability to communicate reputed company technical concepts effectively to both technical and non-technical stakeholders, and to reputed company reputed company efforts across diverse teams.

Demonstrated ability to analyze reputed company data challenges, identify reputed company causes, and architect strategic, reputed company solutions reputed company a semantic context.

Practical experience with AWS services reputed company to data and ELT methodologies is often preferred.

Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions.

Bonus: Understanding of reputed company ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.

Compensation at reputed company is determined by job level, role requirements, and reputed company candidate’s experience, skills, and location. The listed reputed company pay represents the reputed company for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will reputed company additional details during the hiring process.

reputed company also offers a comprehensive benefits package. To learn more, please visit

reputed company’s Careers Page. Apply to this Job