Bioinformatics Quality Engineer, QDI
Qiagen N.V.
Redwood City, CA · Posted August 25, 2026
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Where Redwood City, CA ranks
Where Redwood City, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Best cities for director and executive jobs in the West Coast32% · of 71
- #3Cities with the most hybrid jobs28% · of 100
- #3Cities with the most hybrid jobs in the West Coast28% · of 66
- #8Best all-round cities for remote workers in the West Coast68 / 100 · of 39
- #9Cities that post pay most often44% · of 100
- #10Best cities for entry-level jobs that want AI skills in the West Coast17% · of 54
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among bioengineers and biomedical engineers, AI is already used for some of the tasks. Measured exposure for bioengineers and biomedical engineers: 13% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
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
As a Bioinformatics Quality Engineer in the Content Development team, you will play a critical role in maintaining and validating QIAGEN’s biomedical knowledge base and content delivered to QIAGEN’s analytics software.
You will define and implement test plans using scalable methods to assess the correctness and completeness of our biological data and fulfillment of product requirements. You will be part of a collaborative, cross-functional team of content scientists, knowledge engineers, and software engineers building powerful tools to gain insight into biomolecular data.
Your tasks include
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.
Design and implement automated quality controls and improve reliability of processes, pipelines, tools, and models that support development, build, and maintenance of our biological content.
Own the test automation lifecycle for specific data, product features, or tools, taking individual responsibility to specify and execute the testing approach in design, implementation, and reporting.
Select or develop test automation tools and frameworks. Contribute to maintenance of existing continuous integration pipelines and infrastructure.
Document testing and validation efforts according to appropriate quality management frameworks and regulations (ISO 9001, ISO 13485, IVDR)
Your profile
Undergraduate degree in bioinformatics, genetics, molecular biology, or related field. Graduate degree preferred.
5+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines.
Domain knowledge of human genetics and genomics, and familiarity with tools and databases used in genomic biomedical research (e.g., NCBI, Ensembl, RefSeq, ClinVar, COSMIC, OMIM).
Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control, code review, unit and integration testing, documentation, and collaborative development.
Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j).
Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL.
The estimated base salary range for this position is $130,000 - $160,000. 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.