Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. Responsible and diverse group of 340,000 team members in more than 50 countries Strong over 55-year heritage Trusted by clients to unlock the value of technology to address the entire breadth of their business needs Delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering Market leading capabilities in AI, generative AI, cloud and data Deep industry expertise and partner ecosystem

Knowledge Engineer - Ontologist

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 10,001

Location

United States

Posted

12 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role involves working as a Knowledge Engineer – Ontologist with a focus on RDF, OWL, ontology design, and tools like Protégé.

  • Leading workshops to explore ontological domains and concepts.
  • Providing leadership and expertise on areas of biology, chemistry, and clinical trials.
  • Modelling concepts and relationships between concepts in areas of biology, chemistry, and clinical trials.
  • Working closely with scientists, researchers, and other subject matter experts to clarify concepts.
  • Comparing ontology to existing standard/published ontologies and aligning where possible.
  • Creating core and domain ontologies, leveraging upper ontologies where possible.
  • Utilizing tools such as Protégé to design and build ontologies in OWL format following best practice patterns.
  • Creating ontology inference rules.
  • Creating SHACL shapes for validation.
  • Creating SPARQL queries to answer competency questions based on the built ontology.
  • Working with data architects and engineers to map ontology concepts to data for ingestion into a knowledge graph and advising on integration of different data sources.

Qualifications

  • 8+ years of experience as a Knowledge Engineer – Ontologist.
  • Hands-on experience in RDF, OWL, ontology design, and tools like Protégé.
  • Strong domain understanding in F&B R&D/biochemistry.

Requirements

  • Experience working with RDF and OWL, including logical & reasoning terminology: IRIs, triples, classes, properties, restrictions, equivalence, disjointness, etc.
  • Experience working with ontology in a tool such as Protégé and understanding typical ontology design patterns, architecture, workflow, versioning, etc.
  • Semantic modelling experience including considerations around data integration, mapping/alignment to other ontologies.
  • Requirement elicitation, communication & workshopping skills.
  • Domain background in the domain being modeled (in this case F&B R&D, so biochemistry).

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade.
  • Company paid holidays.
  • Personal Days.
  • Sick Leave.
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
  • Life and disability insurance.
  • Employee assistance programs.
  • Other benefits as provided by local policy and eligibility.

Job Requirements

  • 8+ years of experience as a Knowledge Engineer – Ontologist.
  • Hands-on experience in RDF, OWL, ontology design, and tools like Protégé.
  • Strong domain understanding in F&B R&D/biochemistry.
  • Experience working with RDF and OWL, including logical & reasoning terminology: IRIs, triples, classes, properties, restrictions, equivalence, disjointness, etc.
  • Experience working with ontology in a tool such as Protégé and understanding typical ontology design patterns, architecture, workflow, versioning, etc.
  • Semantic modelling experience including considerations around data integration, mapping/alignment to other ontologies.
  • Requirement elicitation, communication & workshopping skills.
  • Domain background in the domain being modeled (in this case F&B R&D, so biochemistry).

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade.
  • Company paid holidays.
  • Personal Days.
  • Sick Leave.
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
  • Life and disability insurance.
  • Employee assistance programs.
  • Other benefits as provided by local policy and eligibility.

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