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Bioinformatics Ontology Jobs (NOW HIRING)

QIAGEN

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ... Maintain and extend a complex biomedical ontology spanning the entire range of biological entities ...

Qiagen

Bioinformatics Engineer, QDI

Redwood City, CA · On-site

$130K - $150K/yr

As a Bioinformatics Engineer in the Content Development team, you will play a critical role in ... Maintain and extend a complex biomedical ontology spanning the entire range of biological entities ...

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$59.5K

$94.5K

$149.5K

How much do bioinformatics ontology jobs pay per year?

As of Aug 31, 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 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 are the key skills and qualifications needed to thrive as a bioinformatics ontologist?

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 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.

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Bioinformatics Ontology jobs near you
Infographic showing various Bioinformatics Ontology job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Senior Manager, Ontology Engineering, QDI

QIAGEN

Redwood City, CA • On-site

$180K - $235K/yr

Full-time

Medical, Vision, Life

Re-posted 2 days ago

Job description

Overview
At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.
We're dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We're always striving to identify talented individuals to join our exceptional teams.
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.
At QIAGEN, every day is an opportunity to make a real-life impact.
Join us, grow with us, and together, let's shape the future of biological discovery.
About the opportunity
QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives.
Located in Redwood City, CA, QIAGEN offers a professional work environment, competitive benefits, and values work-life balance.
As the Manager of Bioinformatics / Ontology Engineering, you will be managing a team of 7-10 bioinformaticians that are part of a collaborative, cross-functional team of scientists, bioinformaticians, knowledge engineers, and software engineers building powerful tools to gain biological insight into RNA-Seq and DNA-Seq data.
You will use your background in biological science and programming skills to assure the scientific quality of biological interpretations, supporting analytics, and information in our applications. We have built a world-class Knowledge Base rich with molecular and functional relationships derived from scientific literature and biological databases. In combination with our Knowledge Base, we use semantic technologies and other computational techniques to provide biological context to our analytics.
Your tasks include
  • Hands on management and development of creating new pipelines for content acquisition including targeted manual curation and automated processing of structured and unstructured biological data.
  • Work collaboratively with the other teams to make decisions on content modeling and integration for all QIAGEN products and services.
  • Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance of our biological content.
  • Review and refine data and software requirements, use cases, and workflows for product features to ensure that they are scientifically valid, technically robust, and testable.

Your profile
  • Domain knowledge evidenced by a graduate degree and applied experience in genetics, molecular biology, bioinformatics, or related field.
  • Familiarity with bioinformatics tools in genome biomedical research (e.g., genomic databases, genome browsers, mutation repositories), or integrative data analysis as it relates to genetics, multiomics, cell biology, physiology and pathology.
  • Proven ability to solve problems using programming skills, especially in Python, Perl, or Java. 5+ years of experience or formal or advanced training preferred.
  • Experience with database design and programming (e.g. PostgreSQL, Oracle, Neo4j).

Preferred (one or more of the following):
  • 7-10 yrs hands-on experience developing bioinformatics data pipelines including testing and deployment to production systems.
  • 7-10 years management experience of software and bioinformatics engineers, QA engineers, and strong agile process management.
  • Experience in working with formalized Quality Assurance (QA) processes within a Quality Management System (QMS).
  • Strong understanding of medical genetics, pharmacogenetics, molecular pathology, or oncology.
  • Knowledge of information extraction (IE), data integration, ontology, semantic technology, machine learning (ML), or natural language processing (NLP).
  • Knowledge of software development best practices, quality controls, testing techniques.

The estimated base salary range for this position is $180,000 - $235,000. Compensation will be based on the candidate's experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits.
What we offer
  • Bonus/Commission

  • Local benefits

  • Referral Program

  • Volunteer Day

  • Internal Academy (QIALearn)

  • Employee Assistance Program

  • Hybrid work (conditional to your role)

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.
QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.

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