# Senior Data Scientist - Ontology at Explorer, a GHX Company

- Company: Explorer, a GHX Company
- What the company does: ExplORer is an interactive surgical playbook that promotes optimal teamwork in the operating room. Backed by Wasson Enterprise.
- Company website: https://explorersurgical.com
- Type: Startups
- Level: Senior
- Location: Office Location or Remote - USA
- Work setup: Remote
- Pay: $128K to $170K base salary per year (USD)
- Posted: 2026-08-21
- Apply by: 2026-10-14
- Apply: https://job-boards.greenhouse.io/globalhealthcareexchangeinc/jobs/4707747005
- Page: https://www.1752.vc/careers/jobs/explorer-a-ghx-company-senior-data-scientist-ontology/

## About the role

The Ontology Engineer is a foundational technical hire on the AI, ML and Data Science team specializing in Knowledge Representation. This role is responsible for designing and maintaining the formal ontological architecture that makes cross-organizational data alignment. This is not a taxonomy or metadata management role. It requires genuine formal depth in description logics, upper ontology theory, and the ability to reason about what an ontology commits to and what it leaves open.

## What they're looking for

- Greater than 4 years of experience in knowledge engineering, ontology development, or a closely related formal methods discipline
- Demonstrated experience building and maintaining domain ontologies in Protege or equivalent, with reasoner-validated consistency, not solely taxonomy or metadata management work
- Experience with ROBOT or ODK for ontology lifecycle management (or similar): automated quality checks, versioning, release pipelines
- Expertise in SPARQL and/or Cypher for querying ontology-aligned data stores, ability to write and evaluate queries that correctly reflect ontological intent
- Demonstrated ability to interpret data profiling output and translate it into formal ontological claims, experience with empirical ontology discovery from data as well as top-down ontology design
- Experience directing or evaluating LLM-assisted knowledge extraction pipelines with formal validation requirements

Tags: Artificial Intelligence