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3 месяца назад

Taxonomy Specialist (Medtech)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
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

Taxonomy Specialist (Medtech): Managing and developing semantic clinical taxonomies to organize health information with an accent on data mapping, ontology creation, and clinical coding integration. Focus on curating large-scale controlled vocabularies, performing gold standard analysis of medical concepts, and improving content tagging systems using NLP and machine learning principles.

Company

hirify.global is a leading provider of health information services, serving patients, physicians, and healthcare professionals through a diverse network of online portals and medical platforms.

What you will do

  • Establish taxonomies by mapping and integrating diverse life science concepts.
  • Generate and maintain controlled vocabularies, including synonyms and acronyms.
  • Perform gold standard analysis of clinical concepts using source archives.
  • Review, curate, and improve existing vocabularies based on business requirements.
  • Conduct tag testing in QA environments to optimize search and retrieval results.
  • Create procedural documentation and guidelines for taxonomy management.

Requirements

  • 3+ years of professional experience, with 2+ years in semantic data modelling, ontology creation, and taxonomy management.
  • Medical degree such as Ph.D., B. Pharm, BAMS, BHMS, MBBS, or BDS.
  • Proficiency in clinical coding systems like SNOMED CT, CPT, ICD10, MeSH, and RxNorm.
  • Strong experience handling large, unstructured datasets using Advanced Excel.
  • Working knowledge of semantic web principles and clinical information indexing.
  • Ability to work effectively in an Agile environment under tight deadlines.

Nice to have

  • Knowledge of Machine Learning and NLP fundamentals.
  • Experience with information modelling tools.

Culture & Benefits

  • Opportunity to work with a leading global health information network.
  • Engagement with cross-functional teams in a professional healthcare environment.
  • Focus on high-quality data standards and innovative clinical informatics.

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