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Full Time Ontology Engineer Jobs in Raleigh, NC (NOW HIRING)

Sr Curation Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a full time, exempt (salaried) position. Standard business hours align with Monday through ... Partner with engineering teams and participate in the full development lifecycle, from research and ...

Sr Curation Scientist

Durham, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a full time, exempt (salaried) position. Standard business hours align with Monday through ... Partner with engineering teams and participate in the full development lifecycle, from research and ...

Full Time Ontology Engineer information

See Raleigh, NC salary details

$35.5K

$104.3K

$133.7K

How much do full time ontology engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full time ontology engineer in Raleigh, NC is $104,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $132,200.00 per year, depending on experience, location, and employer.

What does a full time ontology engineer do?

A Full Time Ontology Engineer is responsible for designing, developing, and maintaining ontologies, which are structured frameworks for organizing information and data. They work to define relationships between concepts within a specific domain, often using languages like OWL or RDF. Ontology Engineers collaborate with subject matter experts, data scientists, and software developers to ensure data is semantically consistent and interoperable across systems. Their work is crucial in fields like artificial intelligence, data integration, and knowledge management.

What skills and qualifications are needed to thrive as a full time ontology engineer?

To thrive as a Full Time Ontology Engineer, you need a strong background in computer science, knowledge representation, and semantic web technologies, often supported by a degree in a related field. Familiarity with tools and languages such as OWL, RDF, SPARQL, Protégé, and experience with ontology management systems is typically required. Strong analytical thinking, attention to detail, and effective collaboration and communication skills help in designing and maintaining complex ontologies. These skills ensure that data is accurately structured, interoperable, and usable for advanced AI and data integration applications.

What are common challenges faced by full time ontology engineers when integrating ontologies with existing data systems?

Full Time Ontology Engineers often encounter challenges such as aligning new ontologies with legacy data structures, ensuring semantic consistency across diverse data sources, and dealing with incomplete or unstructured data. Collaboration with data architects and domain experts is crucial to accurately map concepts and relationships, and to troubleshoot integration issues. Staying updated with evolving standards and tools in semantic technologies is also important to maintain interoperability and long-term scalability.

What is the difference between Full Time Ontology Engineer vs Data Scientist?

AspectFull Time Ontology EngineerData Scientist
Required CredentialsDegree in Computer Science, Knowledge Engineering, or related fields; familiarity with ontology languages like OWLDegree in Data Science, Statistics, or related fields; proficiency in programming and statistical tools
Work EnvironmentResearch labs, AI teams, knowledge management projectsBusiness analytics, data analysis teams, tech companies
Industry UsageAI, semantic web, knowledge managementBusiness intelligence, predictive analytics, machine learning

While both roles involve working with data and knowledge, Full Time Ontology Engineers focus on developing and maintaining formal ontologies for AI and semantic web applications. Data Scientists analyze large datasets to extract insights and build predictive models. The roles overlap in data handling but differ in their core focus and tools used.

What are the most commonly searched types of Ontology Engineer jobs in Raleigh, NC?

The most popular types of Ontology Engineer jobs in Raleigh, NC are:

What are popular job titles related to Full Time Ontology Engineer jobs in Raleigh, NC?

For Full Time Ontology Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Full Time Ontology Engineer jobs in Raleigh, NC look for?

The top searched job categories for Full Time Ontology Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Full Time Ontology Engineer jobs?

Cities near Raleigh, NC with the most Full Time Ontology Engineer job openings:

Infographic showing various Full Time Ontology Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,286 per year, or $50.1 per hour.

Sr Curation Scientist

Labcorp

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,145 frontline employees who took The Breakroom Quiz

96th of 120 rated laboratories


Job description

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you'll have the opportunity to do meaningful work, grow your career and make a real impact on people's health around the world. Together, we're improving health and improving lives.
Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity.
Work Schedule: This is a full time, exempt (salaried) position. Standard business hours align with Monday through Friday, 8:00 a.m. to 5:00 p.m. in the employee's local time zone. Business needs may occasionally require flexibility in work hours, with reasonable notice provided when possible.
Work Authorization: This position requires permanent authorization to work in the United States without employer sponsorship now or in the future. Sponsorship (including H-1B, OPT/CPT, EAD, or other temporary work authorization) is not available.
Job Responsibilities
  • Collaborate with members of the Oncology Data Curation team and cross-functional partners to design data structures in JSON and relational formats that reflect the complexity of oncology testing data.
  • Interpret oncology diagnostic test results to accurately map them into enterprise data models.
  • Develop mappings between clinical test results and enterprise data warehouse structures to enable large-scale data integration.
  • Apply and maintain clinical data standards including ICD-O-3, FHIR, mCODE, LOINC, ICD-10, UMLS, SNOMED, and related standards as appropriate.
  • Standardize disease and biomarker data using controlled biomedical vocabularies and classifications.
  • Expand and maintain biomedical ontologies to support evolving oncology knowledge.
  • Apply natural language processing techniques to extract structured information from clinical test results.
  • Curate, analyze, harmonize, and manage large oncology data sets while ensuring high data quality standards.
  • Partner with engineering teams and participate in the full development lifecycle, from research and prototyping through production deployment.
  • Support data quality, governance, and continuous improvement initiatives across oncology data platforms.

Minimum Qualifications
  • Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational Biology, or Biostatstics with 5 or more years of experience; or Master's degree with 3 or more years of experience.
  • 1 or more year of demonstrated experience in bioinformatics, information integration, or knowledge modeling.
  • 1 or more year of experience working with and processing next-generation sequencing (NGS) datasets and databases.
  • 1 or more year of experience using general bioinformatics resources such as NCBI Entrez Gene, PubMed, OMIM, or ClinVar.

Preferred Qualifications
  • PhD with 2 or more years experience.

Additional Job Standards
  • Familiarity with clinical data standards such as HL7 and FHIR.
  • Understanding of cancer biology and oncology therapies.
  • Experience curating biomedical data and integrating terminologies for ontology development.
  • Experience working with relational databases and platforms such as Databricks or SAP HANA.
  • Proficiency in Python or Tcl scripting and SQL query development.
  • Familiarity with tools such as Jira, Confluence, and version control systems (Git).
  • Experience integrating public and proprietary biomedical information sources at scale.
  • Exposure to scientific natural language processing or text-mining technologies.
  • Strong attention to detail with excellent organizational, analytical, and communication skills.
  • Ability to collaborate effectively across multidisciplinary project teams with a strong sense of ownership.
  • Ability to demonstrate relevant research expertise through publications, presentations, software tools, or applied knowledge.

About the Role
The Senior Curation Scientist supports Labcorp's innovative oncology data initiatives by transforming complex oncology testing data into high-quality, usable enterprise data assets. This role combines biomedical expertise with data curation, ontology development, and knowledge management to enable advanced analytics and data-driven clinical insights. The position works within a collaborative, cross-functional environment alongside software engineers, clinicians, and data consumers to support Labcorp's enterprise oncology data strategy.
Application Window: 8/15/2026
Pay Range: $125-145k
All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
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