Artificial Intelligence (AI), Best Practices, Borland ObjectWindows Library (OWL) Programming Libraries, Business Skills, Clinical Data, Create Graphs, Data Modeling, Data Quality, Data Structures, Database Architecture, Database Technology, Design Patterns Programming Methodologies, Healthcare, Healthcare Administration, Industry Standards, International Classification of Diseases (ICD), Internet Technology, Knowledge Engineering, Knowledge Modeling, Knowledge Representation, Life Insurance, Neo4j, NoSQL, Ontology, Problem Solving Skills, Python Programming/Scripting Language, RDF (Resource Description Framework), Rural Contracts, SPARQL, SQL Databases, Semantic Reasoner, Standards of Care, Testing, Vision Plan
We are seeking an Ontology Data Specialist to join a dynamic healthcare data team on a 12-month remote contract. In this role, you will develop and maintain formal knowledge representations that support healthcare administrative data systems. Your work will directly influence AI and analytics systems by ensuring accurate, industry-standard data models.
- Design and update ontologies using RDF, OWL, and SKOS to represent healthcare administrative concepts.
- Map internal data models to industry standards like FHIR, SNOMED, and ICD.
- Use SPARQL to query and validate knowledge graphs, refining data representations as needed.
- Collaborate with domain experts to formalize tacit business knowledge into structured models.
- Evaluate different modeling approaches, explaining tradeoffs and recommending optimal solutions.
- Contribute to graph database architecture and integration with AI systems to enhance data reasoning.
- Translate complex healthcare data into formal structures that support downstream analytics and AI.
Requirements for the Ontology Data Specialist:
- Bachelor’s degree with at least 7 years of experience in data or knowledge engineering, focusing on ontology or knowledge representation.
- Practical experience working with RDF, OWL, SKOS, or similar semantic web technologies.
- Proficiency in writing and executing SPARQL queries for data validation and manipulation.
- Hands-on experience with ontology authoring tools such as Protégé.
- Solid understanding of ontology design patterns and best practices.
- Familiarity with healthcare standards like FHIR, SNOMED, and ICD applied to administrative data.
- Experience working with graph databases such as Neo4j or TypeDB.
- Knowledge of Python programming and experience with NoSQL, SQL, and graph database systems.
- Understanding of AI frameworks and how knowledge graphs support AI reasoning.
- Ability to formalize business knowledge into structured models, translating tacit concepts into formal representations.
- Knowledge of healthcare domain complexities, including clinical and administrative data.
- Awareness of current trends in ontology and knowledge graph development, with the ability to incorporate relevant insights.
- Experience testing modeling approaches, understanding tradeoffs, and optimizing data architectures.
Preferred Qualifications:
- Exposure to reasoners like HermiT, Pellet, or ELK, and validation tools such as SHACL.
- Experience with terminology services like UMLS or terminology servers.
What’s in it for you?
- Competitive hourly pay rate of $75-78.
- Fully remote work environment, offering flexibility and work-life balance.
- Opportunity to influence healthcare data systems and AI reasoning capabilities.
- Collaborate with industry experts in a cutting-edge healthcare data environment.
- Join a project with a focus on innovative data modeling that impacts healthcare analytics.
Why IDR?
- 25+ Years of Proven Industry Experience in 4 major markets
- Employee Stock Ownership Program
- Medical, Dental, Vision, and Life Insurance
- ClearlyRated’s Best of Staffing® Client and Talent Award winner for 12 years in a row
Compensation Range: $75-78/hr
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IDR is an equal opportunity employer. We provide reasonable accommodations for disabled employees and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, criminal history, or any other protected category under applicable federal, state, or local laws. We consider all qualified applicants, including those with criminal histories, in compliance with applicable Fair Chance laws.
To comply with civil rights laws, we invite applicants to voluntarily self-identify their race, ethnicity, gender, and veteran status. This information is confidential, optional, and will not affect your application. You may access this form here.
Pursuant to pay transparency laws, salary ranges and benefits will be disclosed where required by law. Compensation is based on factors such as experience, skills, and qualifications.
If you require a reasonable accommodation during the application or interview process, please contact Human Resources at hr@idr-inc.com