Knowledge Engineer

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