Senior Data Scientist - Ontology
LaddersAbout the role
For our client, we are seeking a Senior Data Scientist - Ontology to join the team of a leader in the Healthcare space.
This role will focus on building and maintaining a robust ontology foundation that supports data alignment, record equivalence, and trustworthy knowledge representation across the organization. The ideal candidate will partner with governance stakeholders and technical teams to translate complex domain data into logically consistent structures that improve interoperability and decision-making. You will also help evaluate LLM-assisted extraction methods and contribute to the validation of ontology-driven outputs in a highly collaborative environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $128,000 – $170,000 annually
Responsibilities
Design and maintain comprehensive ontological structures for data alignment.
Establish rules for record equivalence across diverse systems.
Create documented mappings from various data sources to the canonical ontology.
Author OWL 2 axioms and ensure logical consistency using reasoners.
Collaborate with governance teams to ensure adherence to best practices.
Drive ontology discovery from empirical data, beyond mere schema interpretations.
Evaluate and guide LLM-assisted ontology extraction processes.
Qualifications
4+ years of experience in knowledge engineering or ontology development.
Proven track record of building and maintaining validated domain ontologies using Protege or similar tools.
Familiarity with ontology lifecycle management tools like ROBOT or ODK.
Proficiency in SPARQL and/or Cypher for data querying aligned with ontologies.
Experience in LLM-assisted knowledge extraction with formal validation.
Benefits
Collaborative work environment with top experts in the field.
Opportunity to influence the foundational architecture of ontological systems.
Access to the latest advancements and tools in ontology engineering and AI.
Engagement in cross-organizational projects with diverse stakeholders.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Design and maintain comprehensive ontological structures for data alignment.
- Establish rules for record equivalence across diverse systems.
- Create documented mappings from various data sources to the canonical ontology.
- Author OWL 2 axioms and ensure logical consistency using reasoners.
- Collaborate with governance teams to ensure adherence to best practices.
- Drive ontology discovery from empirical data, beyond mere schema interpretations.
- Evaluate and guide LLM-assisted ontology extraction processes.
Qualifications
- 4+ years of experience in knowledge engineering or ontology development.
- Proven track record of building and maintaining validated domain ontologies using Protege or similar tools.
- Familiarity with ontology lifecycle management tools like ROBOT or ODK.
- Proficiency in SPARQL and/or Cypher for data querying aligned with ontologies.
- Experience in LLM-assisted knowledge extraction with formal validation.
Benefits
- Collaborative work environment with top experts in the field.
- Opportunity to influence the foundational architecture of ontological systems.
- Access to the latest advancements and tools in ontology engineering and AI.
- Engagement in cross-organizational projects with diverse stakeholders.
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.