Business Services & Consulting • all cities, PA 39
Knowledge Engineer (39)
all cities, PA 39On-sitePosted 1 day ago
Business Services & Consulting
About the Role
Knowledge Engineer
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
Salary: $80,000 - $165,000 per year
Knowledge Engineer
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
Salary: $80,000 - $165,000 per year
What You'll Do
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
