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13 часов назад

Senior Biomedical Ontologist (MedTech)

150 000 - 180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Biomedical Ontologist (Bioinformatics/MedTech): Leading the development of biomedical ontology and knowledge graph infrastructure for personalized health and longevity with an accent on semantic frameworks and clinical decision support. Focus on designing OWL/RDF structures, integrating diverse biomedical data, and utilizing agentic AI to automate standardization.

Location: Remote (USA)

Salary: $150,000 - $180,000

Company

An online medical clinic at the forefront of transforming healthcare and enhancing longevity through scientific advancements.

What you will do

  • Design and maintain biomedical ontologies focused on longevity and aging biomarkers using OWL, RDF, and related standards.
  • Ensure alignment with established biomedical vocabularies such as SNOMED CT, LOINC, and Gene Ontology.
  • Collaborate with clinical experts to translate medical knowledge into formal ontological representations.
  • Partner with data engineering teams to define and contribute to ETL processes that populate the knowledge graph.
  • Specify and validate APIs and reasoning capabilities (SPARQL, GraphQL) to support clinical insights.
  • Utilize agentic AI to automate standardization and maximize efficiency.

Requirements

  • 5+ years of experience in bioinformatics, computational biology, or biomedical informatics.
  • Advanced degree (MS or PhD) in Bioinformatics, Computer Science, or a related field.
  • Expertise in OWL, RDF, RDFS, SPARQL, and graph databases like Neo4j or Azure Cosmos DB.
  • Proficiency in Python and SQL for data manipulation and integration tasks.
  • Experience with NLP for biomedical text mining or knowledge extraction.
  • Knowledge of HIPAA compliance and healthcare data governance best practices.

Nice to have

  • Experience with ontology development tools like Protégé or TopBraid.
  • Understanding of molecular biology, aging mechanisms, and clinical research methodologies.
  • Knowledge of graph machine learning, embeddings, or knowledge-guided feature engineering.
  • Exposure to cloud platforms such as Azure, AWS, or GCP.

Culture & Benefits

  • Remote-first work environment with uncapped time off.
  • Competitive compensation and equity options.
  • Comprehensive health, dental, and vision insurance coverage.
  • Flexible Spending Accounts (FSAs) and Lifestyle Spending Accounts (LSAs).
  • Budget for necessary technology tools including laptops and software.
  • Focus on company-sponsored activities to foster engagement both virtually and in-person.

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