Clinical Ontology information
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$17.86 is the 25th percentile. Wages below this are outliers.
$14.42 - $21.31
50% of jobs
$21.31 - $28.19
4% of jobs
$32.22 is the 75th percentile. Wages above this are outliers.
$28.19 - $35.07
36% of jobs
$35.07 - $41.96
0% of jobs
$41.96 - $48.84
0% of jobs
$48.84 - $55.73
0% of jobs
$55.73 - $62.61
0% of jobs
$62.61 - $69.49
0% of jobs
$69.49 - $76.38
0% of jobs
$76.38 - $83.26
0% of jobs
$83.26 - $90.14
10% of jobs
How much do clinical ontology jobs pay per hour?
As of Aug 25, 2026, the average hourly pay for clinical ontology in the United States is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $32.93 per hour, depending on experience, location, and employer.
A Clinical Ontologist is a professional who designs, develops, and manages ontologies—structured frameworks that categorize and relate medical concepts—for use in healthcare and clinical information systems. Their work helps ensure that data across different healthcare systems is standardized and interoperable, making it easier to share and analyze patient information. Clinical Ontologists often collaborate with clinicians, data scientists, and IT specialists to support research, clinical decision-making, and health IT system integration. This role typically requires an understanding of both medical terminology and technical knowledge in information science.
Clinical Ontology specialists play a vital role in bridging the gap between clinical staff and technology teams. They work closely with healthcare professionals to understand medical concepts and workflows, ensuring that terminologies and data structures accurately reflect clinical realities. At the same time, they collaborate with IT teams to integrate these ontologies into electronic health records and other health information systems. This collaboration often involves regular meetings, requirements gathering, and iterative feedback to ensure seamless data interoperability and improved patient care outcomes.
To thrive as a Clinical Ontologist, you need a strong background in biomedical informatics, clinical data standards, and ontology development, often supported by an advanced degree in health informatics, computer science, or a related field. Familiarity with tools like Protégé, SNOMED CT, HL7 FHIR, and experience with coding languages such as OWL or RDF are commonly required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with interdisciplinary teams and ensuring clarity in complex data structures. These skills ensure accurate modeling of clinical concepts, interoperability across health systems, and improved data-driven decision-making in healthcare.
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