Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$67к-95к/год
$70к$110кмедиана$120к
По похожим ролям (47) ~ $110к/год
68
Средняя вакансия
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Это качественная роль в трендовом домене на стыке AI и медицины в продуктовой компании, но зарплата заметно ниже рыночных показателей для такого уровня экспертизы.
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Низкая зарплатаТрендовый доменСовременный стекЧеткая роль
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Clinical Terminologist (AI/Clinical Informatics): Standardizing clinical concepts and maintaining ontology and terminology solutions for high-volume healthcare data pipelines with an accent on medical terminologies, real-world data, and clinical interoperability. Focus on adjudicating and quality-controlling new clinical concepts, improving production processes, and supporting reliable data exchange across EHR, laboratory, claims, and curated data sources.
Location: Chicago
Salary: $67,000–$95,000 USD per year
Company
hirify.global builds an AI-powered precision medicine platform and infrastructure that connects real-world healthcare evidence to clinical insights, with a focus on modernizing cancer treatment.
What you will do
Collaborate with cross-functional teams to manage and update terminology services used across the company.
Maintain and extend modeled ontology solutions.
Standardize clinical concepts from Tempus-curated data, EHR integrations, and laboratory systems.
Manage adjudication and quality-control pipelines for new clinical concepts and domains.
Monitor quality assurance and process improvement initiatives.
Monitor production process performance and recommend improvements.
Requirements
3+ years of experience working with standard medical terminologies, including ICD-CM-9/10, SNOMED CT, RxNorm, LOINC, or CPT.
Working knowledge of UMLS and familiarity with NCIm.
Experience developing and maintaining clinical ontologic models.
Experience working with real-world data from EHRs, laboratory systems, claims, and abstraction or curation.
Experience working with ELT tools to maintain high-volume, high-velocity data-throughput pipelines.
Familiarity with SQL, Python, and Semantic Web technologies including RDF, OWL, and SPARQL.
Awareness of healthcare information standards such as HL7 and FHIR for data exchange and interoperability.
Nice to have
Clinical background such as PA, NP, or RN.
Experience analyzing real-world data with Python or SQL.
Participation in professional organizations such as OHDSI or AMIA.
Awareness of the OMOP Common Data Model.
Culture & Benefits
Full-time employment in Chicago.
Benefits may include incentive compensation, restricted stock units, medical benefits, and other benefits depending on the position.
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