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Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Ontologist

Data ManagementConfirmed live in the last 24 hours
Full-timeLaurel, MD, USA$100k - $245k /yrIn-person

About the Job

Requirements

  • Have a Bachelor's degree in a field relevant to Ontology, such as Philosophy, Computer Science, Cognitive Science, Public/Social Policy, Mathematics, Logic, or Linguistics.
  • Be proficient with any of the following: Ontology Web Language (OWL), Resource Description Framework Schema (RDFS), and Resource Description Framework (RDF).
  • Have experience crafting SPARQL queries.
  • Have experience building domain ontologies.
  • Be familiar with ontology editors such as TopBraid Composer, Protégé, and ROBOT, or ontology editing software packages such as rdflib, Apache Jena, Sesame, and RDF4J.
  • Be able to work with loosely defined or high-level requirements.
  • Be able to work on multiple dynamic projects supporting evolving national security requirements.
  • Have strong problem-solving, analytical, and organizational skills.
  • Demonstrate 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 be able to ultimately obtain a TS/SCI+poly level clearance. If selected, the candidate will be subject to a government security clearance investigation and must meet requirements for access to classified information; eligibility requirements include U.S. citizenship.

Responsibilities

  • Work on a team with software engineers and data scientists to build ontologies and capabilities for applied national security mission needs.
  • Engage stakeholders to determine ontology requirements.
  • Work with subject matter experts to craft ontology content.
  • Contribute to and implement quality assurance and validation practices.

Desired Qualifications

  • Have a Master's degree in a field relevant to Ontology, such as Philosophy, Computer Science, Cognitive Science, Public/Social Policy, Mathematics, Logic, or Linguistics.
  • Have experience working with a software engineering team to deliver ontology-driven software features.
  • Have experience building domain ontologies based on a top-level ontology.
  • Be able to weigh tradeoffs between semantic expressivity and project-specific implementation strategies.
  • Have experience with 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, or semantic web standards such as Dublin Core, SKOS, QUDT, and GeoSPARQL.
  • Have experience with formal representations of logical reasoning and inference.
  • Have experience with triple stores or graph databases such as GraphDB, Stardog, and Jena Fuseki.
  • Have experience with semantic validation languages such as SHACL and SPIN.
  • Have experience with software version management using Git.
  • Have experience with Python.
  • Have experience with machine learning, natural language processing, or normalization/integration of heterogeneous data sources.
  • Have coursework in data structures, databases, metaphysics, knowledge representation, algorithms, mathematical logic, mereotopology, or software programming.

About the Company

Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center that provides solutions to complex national security and scientific challenges through technical expertise, prototyping, research and development, and analysis. It uses engineering, simulations, and studies to design prototypes and deliver analyses that support government and partner organizations. Unlike many commercial firms, APL operates as a non-profit affiliated with Johns Hopkins and focuses on mission-oriented research rather than selling finished products. Its goal is to provide practical, thoroughly tested solutions to public-sector customers by performing research, developing prototypes, and offering expert analysis.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
1942

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