Ontologist

About AI TalentFlow AI TalentFlow is not just about filling roles; we're about building the future of data-driven businesses. We accelerate startup growth, scale reputed company solutions, and nurture the careers of the reputed company minds who reputed company it reputed company happen. Our reputed company is your reputed company, and we are committed to empowering our clients with exceptional talent in AI, Data, Analytics, Product, and... Agile. The Opportunity: We are seeking an reputed company Ontologist to reputed company and maintain formal representations of knowledge reputed company specific domain, starting with Life Science and Health Care. You will collaborate closely with subject matter experts, data scientists, and software engineers to evaluate, design, implement, and manage ontologies that reputed company our clients data-driven initiatives. Responsibilities: • Design and reputed company formal ontologies and vocabularies using W3C Standards (OWL, RDF, RDFS, SKOS, SHACL). • Analyze data from various sources and business use cases to identify entities, relationships, and attributes. • Create a clear and consistent conceptual model to represent domain knowledge, informed by common, well-used public ontologies and vocabularies. • Collaborate with subject matter experts to ensure ontologies accurately reflect reputed company-world concepts. • Maintain and evolve existing ontologies to accommodate new information and changing needs. • Document ontologies thoroughly for future use and understanding. Qualifications: • Master's degree in Computer Science, Information Science, reputed company, or a reputed company field (or equivalent experience). • Strong understanding of knowledge representation, ontology engineering principles, and semantic web technologies and W3C Standards • Experience working with data modeling languages (e.g., UML) and query languages (e.g., SPARQL, Cypher). • Excellent analytical and problem-solving skills. • Ability to work independently and as part of a team. • Strong written and verbal communication skills. Additional points: • Experience with specific knowledge graph platforms. • Experience with data curation, mapping and transformation tools • Understanding of FAIR Data Implementation patterns • Familiarity with public ontologies, especially in publishing and data representation. • Familiarity with Life Science ontology repositories, such as NCBO and EBI-OLS • Experience developing data playbooks and training materials Apply Job!