aistartupknowledge graphstaxonomyontologyhl7 fhirsnomed ctclinical data standardsmeddra
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четкая и редкая специализация на стыке клинических данных и ИИ, но без указанной зарплаты сложно оценить привлекательность предложения для уровня lead при медиане рынка $180 000 в год.
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Зарплата не указанаЧеткая зона ответственностиИИ в медицинеСовременные технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Clinical Data Standards SME (AI) (Clinical Data Standards/Ontologies): Building the semantic backbone that connects clinical and scientific knowledge across terminologies, standards, and data structures with an accent on ontologies, taxonomies, controlled vocabularies, and semantic interoperability. Focus on aligning SNOMED CT, MedDRA, LOINC, RxNorm, CDISC, HL7 FHIR, and OMOP with platform schemas, knowledge graphs, metadata layers, and AI/ML knowledge representations.
Location: Hybrid work from the Austin office, United States
Company
hirify.global is a Healthtech company using AI to accelerate drug development and improve patient outcomes.
What you will do
Design and maintain ontologies, taxonomies, and controlled vocabularies for clinical and scientific concepts.
Ensure semantic interoperability across CDISC SDTM/ADaM, HL7 FHIR, and OMOP CDM standards.
Partner with data architecture and engineering teams to embed semantic structures into schemas, knowledge graphs, and metadata layers.
Work with AI/ML teams to provide structured and well-defined knowledge representations.
Map external data sources and terminologies to the semantic layer as integrations are introduced.
Own ontology documentation and governance.
Requirements
Advanced degree in biomedical informatics, computer science, linguistics, or a related field, or equivalent hands-on experience.
Experience building or maintaining ontologies or taxonomies in healthcare, life sciences, or clinical research.
Strong knowledge of SNOMED CT, MedDRA, LOINC, RxNorm, CDISC, HL7 FHIR, and OMOP.
Hands-on experience with OWL, RDF, SPARQL, Protégé, or equivalent ontology and knowledge-graph tools.
Excellent written and verbal English communication skills.
Nice to have
Experience with large-scale enterprise data integration.
Familiarity with knowledge graphs for LLM grounding and reasoning.
Experience with regulatory-facing clinical data and FDA/EMA submissions.
Culture & Benefits
International, collaborative, and diverse work environment.
MacBook provided for work.
Medical, dental, and vision insurance options.
Benefits package supporting employees and their families.
Company events and a pet-friendly office.
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