Director, Semantic & Knowledge Engineering

Scorpion Therapeutics; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Scorpion Therapeutics seeks a senior leader to design, implement, and govern enterprise semantic models, ontologies, knowledge graphs, and metadata frameworks to support AI, analytics, and enterprise knowledge platforms.

You will partner with AI, Data Science, Product, and Engineering teams to embed semantic capabilities, establish metadata standards, and mentor semantic engineers while guiding governance and interoperability across regulated domains.

Qualifications

• Bachelor's or higher in Computer Science, Information Science, AI, Data Science, or related field.
• 8+ years in semantic technologies, knowledge engineering, or enterprise information architecture.
• Hands-on experience with ontologies, RDF/OWL, knowledge graphs, and semantic web tech.
• Proven success enabling AI, analytics, and interoperability across systems.
• Strong leadership and stakeholder management skills.

Responsibilities

• Lead design, implementation, and governance of semantic assets and metadata frameworks.
• Build and maintain knowledge graphs and ontologies to support AI and analytics.
• Partner with AI, Data Science, Product, and Engineering teams to embed semantic capabilities.
• Establish metadata standards and governance processes across the organization.
• Mentor semantic engineers and drive interoperability and governance.

Skills

Semantic technologies

Knowledge graphs

Ontologies

Leadership

Stakeholder management

Education

CS/Info/AI/DS degree

Tools

RDF/OWL

SPARQL

Graph databases

Job description

Role

Lead the design, implementation, and governance of enterprise semantic models, ontologies, knowledge graphs, and metadata frameworks to support AI, analytics, and enterprise knowledge platforms.

Responsibilities

• develop semantic assets such as ontologies, taxonomies, vocabularies
• build and maintain knowledge graphs
• partner with AI, Data Science, Product, and Engineering teams to embed semantic capabilities
• establish metadata standards and governance processes
• support AI initiatives like RAG, reasoning engines, and contextual search
• evaluate emerging semantic tech
• mentor semantic engineers

Requirements

• Bachelor's or higher in Computer Science, Information Science, AI, Data Science, or related
• 8+ years in semantic technologies, knowledge engineering, or enterprise info architecture
• hands-on experience with ontologies, RDF/OWL, knowledge graphs, semantic web tech
• proven success enabling AI, analytics, and interoperability
• strong leadership, stakeholder management skills

Desirable

experience applying semantic tech to generative AI, agentic AI, or regulated industries like pharma or healthcare

HighValue

enterprise knowledge management, semantic web, ontologies, knowledge graphs, AI reasoning, RAG, healthcare/pharma context

WorkSetup

remote preferred (East Hanover base possible), 10% travel