Senior Data Scientist - Ontology
About this role
The Senior Data Scientist - Ontology position at GHX is a foundational technical role focused on knowledge representation, designed for professionals with extensive formal ontology expertise. Based remotely across the USA, this opportunity suits data science and knowledge engineering specialists who want to build cross-organizational data alignment architectures for the healthcare sector.
Role Overview
The Ontology Engineer acts as a core technical team member within the artificial intelligence, machine learning, and data science department. This position handles the design and maintenance of formal ontological architecture that connects diverse healthcare data systems across hospitals, distributors, group purchasing organizations, and manufacturers. The role requires formal depth in description logics and upper ontology theory to ensure auditable, compositionally sound data structures.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency, and accuracy. GHX operates as a cloud-based supply chain technology exchange platform, connecting providers, manufacturers, and distributors across North America and Europe. Privately owned and employing over 1,000 people globally, GHX maintains a corporate headquarters in Colorado alongside additional international offices.
How to Apply
Visit the official GHX careers page to submit an application for this remote position.
Skills and tech stack
Questions candidates ask
What is the primary focus of the Senior Data Scientist - Ontology role?
The role focuses on knowledge representation, specifically designing and maintaining formal ontological architecture to achieve cross-organizational data alignment in the healthcare supply chain.
What are the core technical skill requirements for this position?
Candidates must have over 4 years of experience in knowledge engineering, fluency in OWL 2 and description logics, expertise in SPARQL or Cypher, and proficiency in Python.
Is this position remote?
Yes, this role is listed as Office Location or Remote - USA.
What is the estimated salary range for this job?
The estimated annual salary ranges between $128,000 and $170,000 USD.
How does LLM experience apply to this role?
The position requires building, directing, and evaluating LLM-assisted ontology extraction and enrichment pipelines while enforcing human-in-the-loop validation standards.