Clinical Ontology & Terminology Specialist

Tempus AI; New York (NY); On-site; USD 67,000 - 95,000; Full time

Job summary

Tempus AI in New York is seeking a skilled ontology engineer to standardize clinical concepts and integrate Terminology services across the company. You will collaborate with cross-functional teams to maintain and extend modeled ontology solutions for real-world healthcare data.

Your work includes adjudicating and ensuring quality control of new clinical concepts, monitoring production processes, and driving process improvements across EHRs, lab systems, and claims data.

Qualifications

• 3+ years working with standard medical terminologies.
• Familiarity with UMLS NCIm.
• Experience developing and maintaining clinical ontologic models.
• Experience with real world data from various sources (EHRs, lab systems, claims).
• Experience working with ELT tools to maintain high volume, high velocity data through-put pipelines.
• Proficiency in SQL and Python; familiarity with Semantic Web Technologies (RDF, OWL, SPARQL).
• Awareness of healthcare information standards such as HL7 and FHIR.

Responsibilities

• Collaborate with cross-functional teams to manage and update terminology services made available across the company.
• Maintain and extend modeled ontology solutions used throughout the company.
• Standardize clinical concepts from various sources, including Tempus curated data, EHR integrations, and lab systems.
• Manage the adjudication of, and quality control pipelines for, new clinical concepts and domains.
• Proactively monitor and support quality assurance and process improvement initiatives.
• Monitor performance of production processes and recommend areas for improvement.

Skills

Medical terminologies

UMLS NCIm

Clinical ontologies

Real-world data

SQL

Python

Semantic Web (RDF OWL SPARQL)

HL7 FHIR

Tools

RDF

OWL

SPARQL

Job description

Tempus AI in New York is seeking a skilled ontology engineer to standardize clinical concepts and integrate Terminology services across the company. You will collaborate with cross-functional teams to maintain and extend modeled ontology solutions for real-world healthcare data.

Your work includes adjudicating and ensuring quality control of new clinical concepts, monitoring production processes, and driving process improvements across EHRs, lab systems, and claims data.