Elevate scientific data practices as a Laboratory Data Ontologist with Labbit. Drive client implementations and evolve core ontologies while enhancing operational vocabularies.

Join Labbit's Advisory group, where your expertise in ontology engineering will shape the platform’s data foundation. Spend approximately 50% of your time leading client modeling engagements, ensuring accurate representation of their scientific vocabulary. The other 50% will focus on internal development, fostering best practices, and guiding sales efforts with data-driven insights.

Key Responsibilities:
• Lead modeling on client implementations as the primary expert
• Conduct discovery sessions to structure domain models effectively
• Produce detailed ontologies, taxonomies, and controlled vocabularies




• Review designs for adherence to quality standards
• Coach clients on their model stewardship post-implementation

Requirements:
• 5+ years working in structured domain modeling
• Robust foundation in information theory and ontology design
• Proficiency in OWL/RDF, UML, or similar formalism
• Experience translating domain knowledge into coherent models
• Excellent communication skills for client interaction

Contribute significantly to Labbit’s ontology evolution while impacting client success directly.
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📌 Laboratory Data Ontologist – Client Engagement Lead (British Columbia)
🏢 Labbit
📍 British Columbia