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GHX

Senior Data Scientist - Ontology

GHX · Office Location or Remote - USA

Posted 26 days ago · $128,000 - $170,000

or apply directly on GHX's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
GHX's roles stay open a median of 37 days
Reposted
No
Salary listed
Yes
59% of GHX's roles list one
Ghost-job risk at GHX
low
0 stale, 4 reposted of 37 open
Hiring momentum
64 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from GHX's own greenhouse board since 2026-08-03. Full hiring picture for GHX.

About this role

The Senior Data Scientist - Ontology will focus on designing and maintaining the formal ontological architecture for cross-organizational data alignment within the AI, ML, and Data Science team. This role involves establishing rules for data alignment, authoring OWL 2 axioms, and collaborating with various stakeholders to ensure the ontological architecture supports clinical and analytical requirements. The engineer will also direct LLM-assisted ontology extraction pipelines and monitor developments in knowledge representation.

Our read on this posting3.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of GHX as an employer.

What you need

  • 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.

Nice to have

  • Bachelor's or advanced degree in Computer Science, Mathematics, Philosophy (logic/formal methods), Information Science, or a related hard science discipline.
  • Familiarity with category theory as applied to data integration -- functors, natural transformations, limits and colimits as schema merge operations -- at literacy level or above; knowledge of CQL/AQL or categorical database theory is a plus.
  • Experience with LinkML.
  • Healthcare supply chain domain knowledge and ontological structures.
  • Experience with BFO 2.0 and the OBO Foundry principles and standards.

What you get

  • Estimated Salary: $128,000 - $170,000

Worth weighing

  • Role requires a deep understanding of formal ontology and knowledge representation, which may not be suitable for those without a strong background in these areas.
  • No specific mention of remote work flexibility beyond the location being 'Office Location or Remote - USA'.
  • The role involves high-level decision-making and formal correctness, which may lead to pressure in design evaluations and stakeholder communications.

Summarised from GHX's posting. Read the full original.

Listed by GHX on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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