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Bioinformatics Ontology Jobs (NOW HIRING)

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Implement ontology mapping and clinical data harmonization. * Ensure compliance with healthcare and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Implement ontology mapping and clinical data harmonization. * Ensure compliance with healthcare and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site

Implement ontology mapping and clinical data harmonization. * Ensure compliance with healthcare and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

Guidehouse

Bioinformatics Scientist

Bethesda, MD

$65K - $108K/yr

We are seeking a Bioinformatics Scientist to support the National Institute of Allergy and ... ontology/pathway analysis from bulk and single-cell workflows. * Maintain proper and detailed ...

New

Axle

Data Science Fellow - AI/NLP

Rockville, MD

... ontology grounding, computational biology, and human-in-the-loop curation. Potential projects ... PhD in computer science, computational biology, bioinformatics, biomedical informatics, NLP ...

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Bioinformatics Ontology information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics ontology jobs pay per year?

As of Jun 28, 2026, the average yearly pay for bioinformatics ontology in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Ontologist, and why are they important?

To thrive as a Bioinformatics Ontologist, you need a strong background in biology, bioinformatics, and knowledge representation, often supported by a degree in bioinformatics, computer science, or a related field. Familiarity with ontology development tools (such as Protégé), semantic web technologies (like OWL and RDF), and databases is essential, along with experience in standards such as Gene Ontology. Attention to detail, analytical thinking, and effective communication are vital soft skills for building and maintaining complex ontologies and collaborating with multidisciplinary teams. These competencies ensure the creation of reliable, interoperable ontological resources that advance data integration and discovery in the life sciences.

How does a Bioinformatics Ontology professional typically collaborate with domain experts and software engineers on a project?

Bioinformatics Ontology professionals often serve as a bridge between subject matter experts, such as biologists, and technical teams like software engineers. They work closely with domain experts to accurately capture and represent biological concepts, ensuring that the ontology reflects current scientific understanding. Simultaneously, they collaborate with software engineers to integrate ontologies into databases and applications, facilitating effective data retrieval and interoperability. Strong communication and project management skills are essential in this role, as collaboration is continuous throughout a project's lifecycle.

What is bioinformatics ontology?

Bioinformatics ontology is a structured framework that organizes and defines the relationships between biological and biomedical concepts, such as genes, proteins, diseases, and experimental methods. These ontologies help standardize terminology and enable consistent data annotation, integration, and sharing across different databases and research studies. They play a crucial role in facilitating computational analysis and interoperability in bioinformatics by providing a common language for researchers. Examples include the Gene Ontology (GO) and Disease Ontology, which are widely used in genomics and medical research.

What is the difference between Bioinformatics Ontology vs Bioinformatics Analyst?

AspectBioinformatics OntologyBioinformatics Analyst
Required CredentialsTypically requires a background in bioinformatics, computer science, or biology; familiarity with ontologies and data modelingBachelor's or master's in bioinformatics, biology, or related fields; programming skills beneficial
Work EnvironmentResearch labs, academic institutions, or bioinformatics tool development teamsHealthcare, research institutions, biotech companies, analyzing biological data
Employer & Industry UsageUsed in data annotation, knowledge representation, and database integration within bioinformaticsData analysis, interpretation, and reporting in biological research and clinical settings

Bioinformatics Ontology focuses on developing structured frameworks for biological data, while Bioinformatics Analysts interpret and analyze this data to support research and decision-making. Both roles are essential but serve different functions within the bioinformatics field.

More about Bioinformatics Ontology jobs
What cities are hiring for Bioinformatics Ontology jobs? Cities with the most Bioinformatics Ontology job openings:
What states have the most Bioinformatics Ontology jobs? States with the most job openings for Bioinformatics Ontology jobs include:
What job categories do people searching Bioinformatics Ontology jobs look for? The top searched job categories for Bioinformatics Ontology jobs are:
Bioinformatics Ontology jobs near you
Infographic showing various Bioinformatics Ontology job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Bioinformatics Analyst III

Bioinformatics Analyst III

Oran Inc

Herndon, VA

Other

Posted 7 days ago

Job description

Experience Required

7+ Years

Position Overview

We are seeking a highly skilled Bioinformatics Analyst III to support biomedical and clinical research data initiatives. The ideal candidate will have extensive experience analyzing structured and unstructured clinical datasets and supporting AI/ML-driven healthcare analytics initiatives. This role requires strong technical expertise in biomedical data systems, healthcare interoperability standards, and statistical analysis.

Key Responsibilities
  • Support biomedical and clinical research data analysis initiatives.
  • Analyze structured and unstructured clinical datasets.
  • Develop and maintain data pipelines for healthcare analytics projects.
  • Support AI/ML and predictive analytics initiatives in healthcare environments.
  • Collaborate with data scientists, clinicians, and research teams.
  • Perform statistical analysis and data wrangling activities.
  • Implement ontology mapping and clinical data harmonization.
  • Ensure compliance with healthcare and regulatory data standards.
  • Develop APIs and integration workflows for healthcare data systems.
  • Document technical processes and analytical methodologies.
Required Qualifications
  • Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline.
  • 7+ years of professional experience in bioinformatics or healthcare analytics.
  • Experience supporting biomedical or clinical research data analysis initiatives.
  • Strong understanding of healthcare and life sciences environments.
  • Hands-on experience with clinical datasets and healthcare interoperability.
Required Skills
  • Python
  • R
  • SQL
  • Clinical Data Analysis
  • Biomedical Datasets
  • HL7/FHIR
  • Statistical Analysis
  • Data Wrangling
  • Ontology Mapping
  • AI-Assisted Analysis
  • Git
  • Jupyter
  • APIs
Preferred Qualifications
  • AWS Certified Data Analytics Certification
  • Certified Health Data Analyst (CHDA)
  • SAS Certifications
Work Environment
  • Experience working in healthcare, biomedical, or regulated environments preferred.
  • Ability to work independently and collaboratively in cross-functional teams.
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