Analyst - Ontology / Knowledge Graphs

Required Qualifications
•    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