Senior Ontologist; TS/SCI cleared
Listed on 2026-07-01
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Software Development
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Title
Are you passionate about building solutions for our greatest national security challenges?
Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?
Do you value working in a creative and collaborative environment?
If so, we're looking for someone like you to join our team at APL.
The Threat Analytic Systems (QAI) Group wants talented staff who can work as part of a team to provide our nation with ground-breaking capabilities that bridge the gaps between data, real-world events and people, and prediction of events of national importance. We need talented engineers, scientists, and ontologists with curiosity and a drive for learning!
As a member of our team…
- You will work on a team with software engineers and data scientists to build ontologies and capabilities for applied national security mission needs.
- You will provide expert evaluation and review of ontology content.
- You will engage stakeholders to determine ontology requirements.
- You will work with subject matter experts to craft ontology content.
- You will contribute to and implement quality assurance and validation practices.
Qualifications
You'll meet our minimum requirements if you…
- Have a Master's degree in a field relevant to Ontology. Relevant degree fields may include Philosophy, Computer Science, Cognitive Science, Public / Social Policy, Mathematics, Logic, or Linguistics.
- Are proficient with any of the following:
Ontology Web Language (OWL), Resource Description Framework Schema (RDFs), and Resource Description Framework (RDF) - Are proficient with SPARQL
- Have experience building domain ontologies based on a top-level ontology
- Are able to weigh tradeoffs between semantic expressivity and project-specific implementation strategies
- Have experience with Python
- Are familiar with ontology editors (e.g., Top Braid Composer, Protégé, ROBOT), or ontology editing software packages (e.g. rdflib, Apache Jena, Sesame, RDF4J)
- Have experience with formal representations of logical reasoning and inference
- Can work with loosely defined or high-level requirements
- Can work on multiple dynamic projects to support evolving national security requirements
- Have strong problem solving, analytical, and organizational skills
- Have demonstrated initiative
- Have experience working successfully independently or within a team environment
- Have excellent written and verbal communication skills
- Hold an active TS/SCI security clearance and can ultimately obtain a TS/SCI+poly level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you have…
- A PhD in a field relevant to Ontology. Relevant degree fields may include Philosophy, Computer Science, Cognitive Science, Public / Social Policy, Mathematics, Logic, or Linguistics
- Experience working with a software engineering team to deliver ontology-driven software features
- Experience with any of the following:
Basic Formal Ontology (BFO);
The Common Core Ontologies (CCO); W3C standards such as SOSA/SSN and the Time Ontology; ontologies in the Open Biological and Biomedical (OBO) Foundry; as well as other semantic web standards, such as Dublin Core, SKOS, QUDT, and GeoSPARQL - Experience with triple stores or graph databases (e.g., GraphDB, Stardog, Jena Fuseki)
- Experience using AI tools to generate high quality ontology content
- Experience developing AI tools that use ontologies or knowledge graphs
- Experience with semantic validation languages (e.g. SHACL, SPIN)
- Experience with software version management using GIT
- Experience with machine learning, natural language processing, or in the normalization/integration of heterogeneous data sources
- Coursework in data structures, databases, metaphysics, knowledge representation, algorithms, mathematical logic, mereotopology, or software programming
- Experience with project management and/or leading technical teams
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's…
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