Taxonomy Specialist (Medtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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