TELECOMMUTE Analyst - Ontology / Knowledge Graphs

• 4-7 years of experience in data engineering, knowledge engineering, semantic modeling, or related fields.
• Experience in the healthcare industry, with strong understanding of healthcare data structures and terminology.
• Hands-on experience building or supporting ontology graphs and knowledge graph solutions.
• Strong understanding of ontology concepts such as classes/entities, relationships, attributes, cardinalities, inheritance, and axioms.
• Experience working with ontology modeling tools or semantic technologies.
• Ability to work with complex enterprise data and translate business concepts into formal data models.

• Strong communication skills and ability to collaborate across functional and technical teams. Preferred Qualifications

• Experience with Timbr.ai.
• Familiarity with healthcare datasets such as member enrollment, claims, encounters, provider, and medical records/EHR data.
• Knowledge of healthcare data standards or frameworks.
• Experience supporting data governance, metadata management, or semantic interoperability initiatives.
• Exposure to graph-based technologies, RDF/OWL, or related semantic web standards.

Key Skills

• Knowledge graphs
• Ontology development and semantic modeling
• Entity and relationship modeling
• Cardinalities and axioms
• Healthcare data domain knowledge
• Metadata and taxonomy management
• Cross-functional collaboration
• Timbr.ai and ontology tools