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

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.

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.

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.

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.

InterSystems

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