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Healthcare EHR Interoperability Specialist

Remote
(ID: 2026-1995)

 


Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

 

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

 

Position Overview

Axle is seeking a skilled Healthcare EHR Interoperability Specialist to join our Real-World Evidence team. In this role, you will be responsible for designing, implementing, and validating data mappings between diverse Electronic Health Record (EHR) clinical data models. You will leverage our proprietary Domain-Specific Language (DSL) to express and automate mappings, ensuring semantic accuracy and data quality across source and target systems.

This is a highly technical position at the intersection of clinical informatics, software engineering, and data quality. It’s well suited for someone who is equally comfortable interpreting clinical data specifications and developing robust QA test suites.

 

Key Responsibilities

Clinical Data Mapping

  • Analyze and interpret source and target EHR clinical data models (e.g. FHIR, OMOP, PCORNet) to understand structural and semantic differences.
  • Design and implement accurate, well-documented mappings between CDMs using our internal DSL.
  • Apply knowledge of clinical terminologies (SNOMED CT, LOINC, ICD-10, RxNorm, etc.) to resolve semantic gaps during mapping.
  • Work with FHIR (R4/R5), HL7 v2/v3, and OMOP CDM as source or target data models.
  • Align mappings with US Core Data for Interoperability (USCDI) requirements and ONC guidelines.

DSL Development & Usage

  • Learn and become proficient in our proprietary mapping DSL within the onboarding period.

  • Author, review, and maintain DSL-based mapping scripts with a focus on readability and reusability.

  • Collaborate with the DSL platform team to report issues, suggest improvements, and contribute to language documentation.

  • Develop reusable mapping components and patterns to promote consistency across projects.

Quality Assurance & Testing

  • Write and execute unit and integration tests for all mapping logic to ensure correctness and completeness.

  • Develop test datasets and validation frameworks for end-to-end mapping pipelines.

  • Perform data profiling and discrepancy analysis to identify anomalies in source data.

  • Maintain mapping traceability documentation and participate in peer reviews.

  • Investigate and resolve data quality issues escalated from downstream consumers.

Collaboration & Documentation

  • Partner with clinical SMEs, EHR vendors, and implementation teams to clarify ambiguous data definitions.

  • Produce clear mapping specifications, data dictionaries, and transformation logic documentation.

  • Participate in sprint planning, stand-ups, and retrospectives as part of an agile delivery team.

  • Support data governance activities including metadata management and lineage tracking.

 

Required Qualifications

Education

  • Bachelor's degree or higher in Health Informatics, Biomedical Informatics, Computer Science, Information Systems, or a related field.

  • Advanced degree (MS/PhD) or relevant certifications (RHIA, CHDA, CPHIMS) are a plus.

Clinical Data Model Expertise

  • Deep, hands-on experience with FHIR resource modeling, profiling, and implementation guides (US Core, etc.). FHIR (HL7 R4/R5):

  • Practical experience transforming EHR data into OMOP for research or analytics use cases.

  • Familiarity with the PCORnet Common Data Model for clinical research networks.[KH1] [KH2] 

  • Working knowledge of US Core Data for Interoperability (USCDI), ONC regulations, and CMS interoperability rules. US CDEs:

  • Familiarity with additional CDMs such as i2b2, Sentinel, or proprietary EHR schemas is advantageous.

Clinical Terminology Knowledge

  • Proficiency with SNOMED CT, LOINC, ICD-10-CM/PCS, RxNorm, and NPI in the context of data mapping.

  • Experience using terminology servers (e.g., NLM VSAC, Ontoserver, HAPI FHIR Terminology) to resolve concept mappings.

  • Understanding of value set authoring and maintenance practices.

Technical & Programming Skills

  • Proficiency in at least one scripting/programming language: Python, Java, or JavaScript/TypeScript.

  • Strong SQL skills for data extraction, profiling, and transformation across relational databases.

  • Familiarity with version control (Git) and collaborative development workflows (pull requests, code review).

  • Ability to quickly learn and become productive in a custom DSL — prior experience with any DSL, query language (e.g., FHIRPath, OCL, XQuery), or configuration language is strongly preferred.

QA & Testing Skills

  • Experience writing automated test cases for data transformation logic (unit, integration, and regression tests).

  • Proficiency with testing frameworks relevant to your primary language (e.g., pytest, JUnit, Jest).

  • Data validation skills: record counts, field-level completeness checks, referential integrity, and semantic equivalence testing.

  • Familiarity with CI/CD pipelines and automated testing workflows.

Soft Skills & Work Style

  • Detail-oriented with a strong commitment to data accuracy and clinical fidelity.

  • Able to manage ambiguity — comfortable making informed mapping decisions when source documentation is incomplete.

  • Strong written and verbal communication skills; able to explain technical mapping decisions to clinical stakeholders.

  • Self-directed learner with the ability to ramp up quickly on new systems and standards.

 

Preferred Qualifications

  • Prior experience working at a healthcare system, HIE, health IT vendor, or CRO.

  • Hands-on experience with one of the major EHR platforms: Epic Clarity/Caboodle, Cerner Millennium, Allscripts, or athenahealth.

  • Experience contributing to open-source health data projects (e.g., HAPI FHIR, Inferno, OHDSIverse).

  • Knowledge of HIPAA, 21st Century Cures Act, and related data privacy and compliance requirements.

 

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

#IND

Salary Range

$155,000 - $185,000 USD

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