CrawlJobs Logo

Ontology Expert

nttdata.com Logo

NTT DATA

Location Icon

Location:
United States , Dallas

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

The Ontology Expert role focuses on designing and governing healthcare ontologies for AI-driven solutions. Candidates should have over 5 years of experience in ontology engineering and strong healthcare domain knowledge. Responsibilities include building semantic models, collaborating with technical teams, and ensuring semantic accuracy. Preferred qualifications include a background in clinical informatics and experience with healthcare AI platforms. This position offers the chance to shape the future of healthcare AI solutions.

Job Responsibility:

  • Design, build, and maintain healthcare ontologies and semantic models
  • Define domain vocabularies, taxonomies, and relationships for AI-driven solutions
  • Support knowledge representation for AI agents, decision-support, and clinical intelligence systems
  • Collaborate with clinicians, data scientists, and AI engineers to translate knowledge into formal models
  • Govern ontology lifecycle, versioning, and semantic consistency
  • Develop ontologies using standards such as OWL, RDF, and SKOS
  • Work with healthcare standards and terminologies (SNOMED CT, ICD-10, LOINC, RxNorm)
  • Enable semantic interoperability across EHRs and healthcare data sources
  • Support reasoning, inference, and rule-based logic for AI systems
  • Enable AI and GenAI systems with structured healthcare knowledge
  • Support agentic workflows, decision models, and explainable AI outputs
  • Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems
  • Ensure semantic accuracy and safety for clinical use cases
  • Ensure ontologies align with clinical safety, regulatory, and compliance requirements
  • Support auditability, traceability, and explainability of AI decisions
  • Define semantic governance policies and best practices

Requirements:

  • 5+ years of experience in ontology engineering, semantic modeling, or knowledge engineering
  • Strong healthcare domain knowledge (clinical, payer, or life sciences)
  • Experience working with structured and unstructured healthcare data
  • Ability to collaborate across technical and clinical teams
  • Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies
  • Experience with ontology tools such as Protégé, TopBraid, or Stardog
  • Familiarity with FHIR, HL7, and healthcare data models
  • Exposure to AI/ML and GenAI systems, including LLM-enabled solutions

Nice to have:

  • Background in clinical informatics or biomedical informatics
  • Experience with healthcare AI platforms or decision-support systems
  • Knowledge of semantic search, reasoning engines, or knowledge graphs
  • Advanced degree in Computer Science, Biomedical Informatics, or related fields
  • Programming or scripting experience in Python or similar languages

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
NTT DATA - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Ontology Expert

New

Ontology Expert

The Ontology Expert role at NTT DATA involves designing and governing healthcare...
Location
Location
Canada , Toronto
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Science, Semantic Web, or related field
  • 4–8+ years of experience in ontology development or semantic modeling, preferably in healthcare
  • Strong understanding of US healthcare data and terminology
  • Hands-on experience with ontology languages, standards, and modeling techniques
  • Proficiency in Python for ontology processing, validation, or AI integration
  • Experience working with cross-functional AI and clinical teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain healthcare ontologies, taxonomies, and semantic models
  • Define domain vocabularies, concepts, and relationships for AI-driven and agentic solutions
  • Support knowledge representation for AI agents, clinical decision-support, and intelligence systems
  • Collaborate with clinicians, data scientists, and AI engineers to translate domain knowledge into formal semantic models
  • Govern ontology lifecycle, versioning, documentation, and semantic consistency
  • Develop ontologies using OWL, RDF, and SKOS standards
  • Apply healthcare terminologies including SNOMED CT, ICD-10, LOINC, and RxNorm
  • Enable semantic interoperability across EHRs and healthcare data sources
  • Support reasoning, inference, and rule-based logic for AI systems
  • Enable AI and GenAI systems with structured healthcare knowledge
What we offer
What we offer
  • Remote work flexibility
  • Fulltime
Read More
Arrow Right

Knowledge Graph - RAG Agentic AI Expert

You will join Dell, driving innovation at the intersection of knowledge graphs a...
Location
Location
United States , Austin
Salary
Salary:
196000.00 - 254000.00 USD / Year
dell.com Logo
Dell
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep expertise in taxonomy, ontology, and semantic modeling with hands‑on experience building and operating enterprise knowledge graphs
  • fluency in Cypher and SPARQL
  • Proven delivery of production LLM, RAG/GraphRAG, and multi‑agent systems with guardrails, safe tool use, tracing, and lifecycle management using frameworks such as LangGraph and LlamaIndex
  • Strong Python and AI/ML skills with practical NLP for extraction and normalization, plus rigorous experiment design, error analysis, and A/B testing
  • Knowledge of graph ML and retrieval including graph embeddings and algorithms, hybrid text‑plus‑graph retrieval, and reranking, and multi‑hop reasoning
  • Clear communication and leadership in agile environments with the ability to influence product direction, mentor engineers, and engage technical and non‑technical stakeholders
  • Experience establishing evaluation and governance for RAG/GraphRAG and graphs
Job Responsibility
Job Responsibility
  • Define end‑to‑end architecture for LLM, RAG/GraphRAG, and multi‑agent systems, including data pipelines, deployment, observability, governance, and cost controls
  • Design ontologies and taxonomies
  • build and operate enterprise knowledge graphs (Neo4j, RDF/OWL), integrating structured, semi‑structured, and unstructured sources with lineage and scalable Cypher/SPARQL queries
  • Develop extraction and linking pipelines for entities and relations, including disambiguation, conflation, deduplication, canonicalization, and quality assurance
  • Build production LLM and agentic workflows (e.g., LangGraph, LlamaIndex) for KG enrichment and natural‑language‑to‑graph query generation with safe tool use, tracing, and human‑in‑the‑loop where needed
  • Implement advanced retrieval that blends vector search, symbolic reasoning, and KG retrieval, including GraphRAG, hybrid dense/sparse retrieval, ontology‑guided search, and contextual agents
  • Establish evaluation and observability using OpenTelemetry, SLIs/SLOs, and metrics for RAG/GraphRAG/graphs-such as faithfulness, grounding, multi‑hop accuracy, entity‑resolution precision/recall/F1, link‑prediction MRR/Hits@K, schema/SHACL validation rates, and query latency
  • lead metadata governance, audits, drift detection, and remediation with cross‑functional teams
What we offer
What we offer
  • Comprehensive Healthcare Programs
  • Award Winning Financial Wellness Tools and Resources
  • Generous Leave of Absence for New Parents and Caregivers
  • Industry Leading Wellness Platform
  • Employee Assistance Program
Read More
Arrow Right
New

Data Engineer - Lead

Altamira Technologies is seeking an experienced Data Engineer to join our growin...
Location
Location
United States , Centennial
Salary
Salary:
Not provided
altamiracorp.com Logo
Altamira Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in technical field
  • 5+ years experience in data engineering
  • Well versed in Extract, Transforms, Load (ETL) techniques and technologies
  • Active TS/SCI clearance with ability to obtain CI polygraph
  • Self-motivated and eager to work intently to satisfy mission requirements
  • Aggressively detail-oriented
  • Eager and able to rapidly learn new data types and technologies
  • Adaptable and has the desire to maintain our company culture
  • Ability to effectively communicate in verbal and written communications with internal and external stakeholders of various backgrounds
  • Ability to multitask and adjust priorities as needed
Job Responsibility
Job Responsibility
  • Create ontologies that define the concepts, categories, and relationships relevant to ingested data
  • Ensure that data from different sources can be integrated seamlessly
  • Work with Subject Matter Experts to reach consensus on how the ontology's structure is designed
  • Serve as the data custodian
  • Coordinate and participate in Technical Exchange Meetings with data stakeholders
  • Identify, gather, and organize critical technical metadata to enrich the data catalog
  • Create visual representations of available data
  • Create and maintain charts, graphs, and dashboards to make complex data understandable
  • Build statistical tools and techniques to explore and analyze data
  • IPT Lead - willingness to perform interviews, select candidates and provide overall team leadership
  • Fulltime
Read More
Arrow Right

Specialist Technical Architect

The role is responsible for developing and maintaining the data architecture acr...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate Degree
  • Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field
  • Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field
  • Diploma with 10 - 12 years of experience in Computer Science, IT or related field
  • Proficiency in creating conceptual, logical, and physical data models
  • Ability to interview and communicate with business Subject Matter experts to develop data models
  • Knowledge of metadata standards, taxonomies, and ontologies
  • Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing
  • Implementing Data testing and data quality strategies
Job Responsibility
Job Responsibility
  • Develop and maintain conceptual logical, and physical data models and to support business needs
  • Contribute to and Enforce data standards, governance policies, and best practices
  • Design and manage metadata structures to enhance information retrieval and usability
  • Maintain comprehensive documentation of the architecture, including principles, standards, and models
  • Evaluate and recommend technologies and tools that best fit the solution requirements
  • Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency
Read More
Arrow Right

Specialist Data Architect

The role is responsible for developing and maintaining the data architecture acr...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field
  • Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field
  • Diploma with 10 - 12 years of experience in Computer Science, IT or related field
  • Proficiency in creating conceptual, logical, and physical data models
  • Ability to interview and communicate with business Subject Matter experts to develop data models
  • Knowledge of metadata standards, taxonomies, and ontologies
  • Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing
  • Implementing Data testing and data quality strategies
Job Responsibility
Job Responsibility
  • Develop and maintain conceptual logical, and physical data models and to support business needs
  • Contribute to and Enforce data standards, governance policies, and best practices
  • Design and manage metadata structures to enhance information retrieval and usability
  • Maintain comprehensive documentation of the architecture, including principles, standards, and models
  • Evaluate and recommend technologies and tools that best fit the solution requirements
  • Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency
Read More
Arrow Right

Clinical Analytics Specialist

Join Elsevier as a Clinical Analytics Specialist where you will leverage your me...
Location
Location
United States , Texas
Salary
Salary:
78800.00 - 131300.00 USD / Year
edtechjobs.io Logo
EdTech Jobs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Clinical degree required (MD, MBBS, GP)
  • Formal training or significant experience in evidence-based medicine, clinical research, epidemiology, biostatistics, and the application of evidence to practice
  • Excellent command of the English language in both spoken and written forms
  • Proficiency in a Microsoft Windows environment
  • Strong MS Word/Powerpoint skills and ability to work with templates using an electronic content management system
  • Demonstrated problem-solving ability, sense of urgency, and ability to prioritize tasks, to work simultaneously on multiple projects, and to ensure completion of editorial team projects per tight timelines
  • Able to work with a variety of stakeholders at the mid and senior management level
Job Responsibility
Job Responsibility
  • Appling clinical knowledge to extract and integrate data in a healthcare environment
  • Adapting domain ontologies for information extraction, data modeling and analysis
  • Working closely with data scientists, clinicians, subject matter experts (SMEs), taxonomists, and data analysts to provide insights used in automation and applications for our businesses in health markets
  • Working on the modeling, validation, and maintenance of core extracted clinical relationships to deliver an evidence-based and development of Elsevier’s healthcare knowledge graph (H-graph)
  • Providing insight for ensuring high quality of automated indexing for search & discovery
  • Appling own domain knowledge and work with external clinical experts to confirm and validate clinical accuracy of content
  • Ensure that content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards
  • Building domain specific training data sets for machine learning (ML) models used in Point-of-care products
  • Predictive analytics and insights from combining big datasets in healthcare
  • Participating in design, prototyping, and analytics in their day to day providing insights for algorithm codification that will improve clinical workflows and content creation
What we offer
What we offer
  • Annual incentive bonus
  • Country specific benefits
  • Fulltime
Read More
Arrow Right

Data Analyst – Digital Workplace

The Data Analyst will play a key role in designing, developing, and deploying sc...
Location
Location
India , Bangalore Area
Salary
Salary:
Not provided
airbus.com Logo
Airbus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor/ Master Degree in Mathematics, Economics, Computer Science, Information Management, Statistics or relevant field with 3-6 years of data analysis, data management and software development experience
  • Hands-on experience with Skywise / Palantir Foundry for building and deploying end-to-end data solutions
  • Proven track record in developing and maintaining large-scale data applications on Foundry
  • Proficiency in Ontology Manager, Code Authoring, Contour, Workshop, and Data Ingestion modules
  • Advanced proficiency in Python, SQL, React, JavaScript, and CSS
  • Strong understanding of REST APIs and Big Data architectures
  • Experience in ETL scripting for data transformation
  • Advanced analytical expertise in data modeling, database management, and SQL (expert level)
  • Experience with BI tools, Google Data Studio, and BigQuery
  • Skilled in designing and maintaining KPI metrics, dashboards, and Performance Analytics (PA) reports
Job Responsibility
Job Responsibility
  • Design, build, and maintain robust data analytics and application solutions within the Skywise (Palantir Foundry) framework
  • Develop, test, document, and deploy data pipelines, analytical models, and visualization tools to support strategic and operational initiatives
  • Work with Product Owners and core Airbus business functions to capture requirements, understand business processes, and deliver impactful data-driven solutions
  • Manage the full application delivery lifecycle — from design and implementation to testing, deployment, and support
  • Build and maintain pipelines to enable automated deployments across Development, QA, and Production environments
  • Troubleshoot and resolve application issues, manage incidents and requests, and provide ongoing support for developed tools
  • Encourage and enable self-service analytics by empowering business teams and promoting data literacy
  • Coach and develop data analytics awareness among internal customers and stakeholders
  • Define, implement, and maintain KPI metric reports, dashboards, and performance analytics (PA) reporting
  • Help automate reporting processes and transform the organization’s approach to data management
  • Fulltime
Read More
Arrow Right

Taxonomist / Metadata Specialist

We are seeking a Taxonomist / Metadata Specialist to serve as the lead subject m...
Location
Location
United States
Salary
Salary:
Not provided
tier4group.com Logo
Tier4 Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands‑on experience developing and implementing taxonomies and metadata across enterprise platforms to improve search, reuse, and AI experiences
  • Experience designing and operationalizing metadata governance, including standards, templates, workflows, and quality rules
  • Strong stakeholder facilitation skills, with the ability to reconcile competing mental models into a shared framework
  • Ability to work independently in a less‑mature or greenfield environment and deliver production‑ready outcomes
  • Bachelor’s degree in information science, library science, semantics, ontology, or a related field (or equivalent experience)
  • 2+ years of professional experience in taxonomy, metadata, ontology, or related disciplines
  • Demonstrated experience supporting AI‑enabled or search‑driven experiences using structured metadata
  • Hands‑on experience implementing metadata standards within CMS and/or enterprise search platforms
  • Strong written and verbal communication skills, including the ability to influence without authority
Job Responsibility
Job Responsibility
  • Analyze existing metadata structures across HR systems and content platforms to identify gaps, overlaps, and inconsistencies
  • Define and implement an enterprise‑ready metadata, taxonomy, and ontology strategy tailored to HR and AI use cases
  • Develop and operationalize a sustainable metadata framework that supports AI‑driven search, retrieval, and future agentic experiences
  • Establish metadata standards, governance processes, approval workflows, and operational rules to maintain integrity over time
  • Partner with HR subject‑matter experts, content strategists, technology teams, and business stakeholders to align on metadata design
  • Facilitate and/or lead co‑creation workshops to gather input, validate taxonomy models, and drive stakeholder adoption
  • Consult with technology teams to ensure metadata aligns with AI infrastructure and platform capabilities
  • Drive education, documentation, and best practices for tagging and metadata usage in partnership with change management teams
  • Audit real content, search logs, and consumption data to continuously refine taxonomy and metadata models
  • Serve as a single‑practitioner metadata and taxonomy lead, setting standards, templates, and repeatable processes
Read More
Arrow Right