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Clinical Terminologist

67 000 - 95 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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