Knowledge Engineer
Knowledge Engineer
Description
Overview
Crown Point Technologies is seeking a Knowledge Engineer to support the development of enterprise data and knowledge solutions in a fast-paced pharmaceutical environment. This role focuses on structuring complex data into clear, usable models that support analytics, integration, and decision-making.
Key Responsibilities
- Design and maintain ontologies and knowledge models
- Use semantic technologies (RDF, OWL, SPARQL) to structure and query data
- Work with stakeholders to understand data needs and translate them into models
- Build and test knowledge graph prototypes
- Collaborate with engineers and data scientists to integrate solutions into applications and pipelines
- Support data consistency, documentation, and best practices
- Manage multiple priorities in a fast-paced environment
Qualifications
- Applicants must be authorized to work in the United States without sponsorship now or in the future.
- Bachelor’s or Master’s degree in a relevant field (Computer Science, Data, etc.)
- 3–7 years of experience with semantic technologies or knowledge modeling
- Experience with ontology tools (e.g., Protégé) or graph databases (e.g., Graph Studio, Neo4j, Stardog, )
- Experience in pharma, life sciences, or regulated environments is a plus
- Familiarity with Python is a plus
- Strong communication and problem-solving skills