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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$120к-179к/год
$160к$170кмедиана$210к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.7к/мес ($2.9к - $4.3к)
76
Хорошая вакансия
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У роли понятная специализация в архитектуре медицинских данных и актуальный стек, но зарплата ниже рыночного ориентира, а для работы требуется право на трудоустройство в США без спонсорства.
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Ниже рынкаТолько с правом на работуАктуальный стекИИ в медицинеПонятные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Clinical Data Architect (HL7 FHIR): Architecting FHIR-compliant clinical data models and scalable FHIR-to-OMOP transformation pipelines for AI-enabled precision health with an accent on data harmonization, interoperability standards, and clinical terminology management. Focus on integrating EHR, HIE, and claims data, validating longitudinal clinical integrity, and designing complex healthcare data architectures with Python, SQL, and dbt.
Location: Remote, United States
Salary: $119,500–$179,000 base salary per year, plus bonus, equity, and benefits.
Company
hirify.global Health is a data platform and technology company building AI-enabled precision health solutions from multimodal healthcare data.
What you will do
Architect FHIR-compliant data models aligned with implementation guides, profiles, and internal standards.
Design and operationalize data harmonization and enrichment strategies across EHR, HIE, and claims data.
Develop and maintain scalable FHIR-to-OMOP transformation pipelines using dbt and SQL.
Standardize clinical data with SNOMED CT, LOINC, ICD-10, RxNorm, and custom value sets.
Build validation frameworks to ensure clinical accuracy, consistency, and longitudinal data integrity.
Document data design requirements for cross-functional technical and non-technical stakeholders.
Requirements
Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
5+ years of experience in healthcare data architecture or clinical informatics within healthcare or life sciences.
Experience with OMOP, FHIR R4/R5, HL7 v2, CDA/CCD-A, or NCPDP.
Advanced proficiency in Python and SQL, with hands-on healthcare data integration experience.
Must not require employer-sponsored work authorization now or in the future for employment in the United States.
Nice to have
Master’s degree or professional certificate in Clinical Informatics, PharmD, or comparable clinical informatics experience.
Hands-on experience with dbt and Jupyter Notebooks.
Experience designing or implementing healthcare data architecture and integration solutions.
Strong interpersonal, communication, independent working, and collaboration skills.
Culture & Benefits
Work on technology connecting data science, healthcare, and precision medicine.
Full-time employment with bonus, equity, and benefits.
Equal opportunity employment and applicant accommodation support.
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