1

Clinical Terminologist Jobs (NOW HIRING)

Clinical Terminology Management * Serve as the subject matter expert on standard terminologies and code sets, (e.g., SNOMED CT, LOINC, ICD-10, CPT/HCPCS, RxNorm). * Define concept maps and value sets ...

Clinical Navigator - Marketing

Austin, TX · On-site

$19.50 - $25.75/hr

Serve as a trusted clinical resource, confidently communicating with physicians and healthcare professionals using appropriate clinical terminology. * Conduct in-person visits to physician offices ...

Basic understanding of healthcare workflows and clinical terminology. * Analytical and problem-solving mindset. * Excellent communication and interpersonal skills, with the ability to collaborate ...

Knowledge of basic anatomy, clinical terminology, and general surgical techniques. * Knowledge of fundamentals of robotics or electromechanical systems. * Experience in the regulated medical device ...

Knowledge of clinical terminology, spelling and office ethics * Excellent administrative, data entry, and customer service skills. * Must be able to multi task, learn quickly and adapt to change ...

Knowledge of clinical terminology, spelling and office ethics * Excellent administrative, data entry, and customer service skills. * Must be able to multi task, learn quickly and adapt to change ...

Clinical Director

Bend, OR · On-site

$100 - $125/hr

Strong knowledge of DSM‑IV/V‑TR, clinical terminology, and a wide range of therapeutic modalities. * Understanding of documentation, compliance standards, and confidentiality laws. * Proficiency ...

Showing results 41-60

Clinical Terminologist information

See salary details

$14

$34

$90

How much do clinical terminologist jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for clinical terminologist 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.

What is a clinical terminologist?

A Clinical Terminologist is a specialist who manages and standardizes medical terminology within healthcare systems to ensure accurate and consistent documentation, coding, and data exchange. They work with clinical vocabularies like SNOMED CT, ICD, and LOINC to improve interoperability and support healthcare analytics. Their role is essential for enhancing data quality, supporting decision-making, and ensuring regulatory compliance in electronic health records (EHRs) and other health IT systems.

What does a clinical terminologist do?

As a Clinical Terminologist, your daily work typically includes developing, mapping, and maintaining clinical vocabularies and terminologies used in healthcare information systems. You’ll collaborate closely with clinicians, IT professionals, and data analysts to ensure clinical data is accurately captured and coded for interoperability and reporting. Tasks often involve reviewing medical documentation, validating term usage, and updating databases to comply with evolving standards. This role may also require providing guidance and training to staff on terminology best practices, contributing to ongoing projects like EHR optimization or regulatory updates. The environment is detail-oriented, collaborative, and focused on improving the quality and usability of healthcare data.

What are the key skills and qualifications needed to thrive as a clinical terminologist?

To thrive as a Clinical Terminologist, you need a strong background in clinical coding, informatics, and healthcare terminology management, typically supported by a degree in health information management, clinical informatics, or a related field. Familiarity with terminology standards (such as SNOMED CT, LOINC, ICD-10), health IT systems, and certifications like AHIMA Certified Coding Specialist (CCS) are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills are key soft skills for translating clinical language and collaborating with healthcare teams. These skills are crucial to ensure accurate and standardized data representation across electronic health records, supporting quality patient care and regulatory compliance.

How to become a clinical terminologist?

To become a clinical terminologist, individuals typically need a bachelor's degree in health information management, medical coding, or a related field. Gaining experience with medical terminology, coding systems like SNOMED CT or ICD, and obtaining certifications such as the Certified Health Data Analyst (CHDA) can enhance job prospects.
More about Clinical Terminologist jobs

What cities are hiring for Clinical Terminologist jobs?

Cities with the most Clinical Terminologist job openings:

What are the most commonly searched types of Clinical Terminologist jobs?

The most popular types of Clinical Terminologist jobs are:

What states have the most Clinical Terminologist jobs?

States with the most job openings for Clinical Terminologist jobs include:

Infographic showing various Clinical Terminologist job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 71% Full Time, 18% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $72,002 per year, or $34.6 per hour.

Clinical Informatics Specialist

InterSystems

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

We are seeking a highly skilled Clinical Informatics Specialist to play a pivotal role in the architecture and development of our canonical data model and transformation framework within the InterSystems ecosystem. Focus areas include data modeling, comprehensive documentation, and validating clinical workflows to ensure real-world clinical alignment.
In this role, you will act as the bridge between clinical experts and technical engineering teams. You will be responsible for translating clinical needs into product requirements, defining complex data mappings, validating clinical logic, and ensuring our data models adhere to global HIT standards (FHIR, HL7v2, CDA, OMOP, etc.) while maintaining the highest standards of patient safety and data privacy.
Key Responsibilities
  1. Data Modeling & Transformation Strategy
  • Manage the governance of the canonical data model definition and maintenance processes in alignment with product strategy, ensuring it supports diverse clinical domains across the care continuum.
  • Design and document detailed logic for data transformations and mappings between various healthcare data standards (e.g., HL7v2, C-CDA, FHIR, X12, OMOP, openEHR).
  • Analyze emerging national and international Implementation Guides and regulatory standards, translating them into technical specifications for the engineering team to support future product capabilities.
  1. Clinical Terminology Management
  • Serve as the subject matter expert on standard terminologies and code sets, (e.g., SNOMED CT, LOINC, ICD-10, CPT/HCPCS, RxNorm).
  • Define concept maps and value sets to ensure semantic interoperability across the platform.
  • Troubleshoot terminology binding issues that arise during data ingestion or exchange.
  1. Clinical Requirements & Translation
  • Collaborate with clinical subject matter experts (SMEs) to gather requirements and translate "clinical intent" into precise technical specifications.
  • Author functional specifications that allow engineers to build robust interoperability pipelines within InterSystems product suite.
  • Act as a translator, explaining complex technical data constraints to clinicians and complex clinical workflows to engineers.
  1. Quality Assurance & Safety Validation
  • Validate data models and transformation logic to ensure they are clinically sound and accurately reflect the patient story.
  • Conduct clinical safety assessments on proposed data structures to identify and mitigate risks related to data loss, misinterpretation, or context stripping.
  • Ensure all data designs comply with privacy regulations (HIPAA, GDPR) and data governance policies.
Qualifications
Education & Experience
  • Clinical Background: Clinical degree (MD, DO, RN, PharmD, NP/PA) with active or previous licensure preferred; OR equivalent deep domain experience in Health Informatics.
  • Informatics Experience: 5+ years of experience in clinical informatics, data modeling, or interoperability analysis.
  • InterSystems Expertise: Proven experience working within InterSystems IRIS for Health or HealthShare environments is highly desired. Experience with other major integration engines combined with a willingness to learn InterSystems technology will also be considered.

Technical Skills & Knowledge
  • Standards: Deep mastery of HL7v2, C-CDA, and FHIR (resources, profiles, and implementation guides). Familiarity with OMOP CDM or openEHR archetypes is a strong plus.
  • Terminologies: Proficiency with LOINC, SNOMED CT, ICD-10, and RxNorm browsers and hierarchy structures.
  • Tools: Experience with mapping tools, SQL, and data modeling software.
  • Regulatory: Understanding of ONC certification rules (USCDI), TEFCA, and CMS interoperability rules.

Competencies
  • Translation: Ability to demystify technical jargon for clinicians and clinical workflows for developers.
  • Analytical Thinking: Strong capability to visualize data flows and identify edge cases in complex clinical scenarios.
  • Communication: Excellent written and verbal communication skills for creating documentation and specifications.
  • Leverage AI-assisted tools (e.g., large language models, copilots) to accelerate documentation, specification authoring, and data mapping workflows - while applying clinical judgment to validate outputs for accuracy and patient safety.
  • AI Fluency: Comfort using AI/LLM-based tools (e.g., coding assistants, document drafting copilots, terminology mapping aids) to improve productivity; ability to critically evaluate AI-generated outputs for clinical correctness and safety.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.
InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.
Other compensation may include a discretionary annual variable target incentive.
The company also provides generous employee benefits including:
  • Medical, vision, and dental insurance
  • Short-term and long-term disability, and life insurance
  • 401(k) Profit Sharing Contribution
  • Paid Time Off and Holidays
  • Parental Leave
  • Tuition reimbursement

The estimated base compensation range for this role is:
$120,000-$143,000 USD
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
AI Disclaimer
InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems' approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.
Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.
Please note that the use of wearable technology, including any AI-related tools or other technology-connected devices (such as META or Google smart glasses and/or wearables, and/or any similar devices), is strictly prohibited during the interview and screening process with InterSystems. Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Department prior to attending or participating in any interview or screening process.