Bioinformatics Quality Engineer, QDI

Qiagen
Location
Redwood City
Job Type
Full-time
Posted
September 11, 2026
Views
5
Salary Range
$130k - $160k USD

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

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

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.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in Redwood City. Qiagen offers hybrid work, which is conditional to your role.
What are the required qualifications and experience levels for this role?
You need an undergraduate degree in bioinformatics, genetics, molecular biology, or a related field (graduate degree preferred). Additionally, you must have 5+ years of industry experience in bioinformatics, including writing production-quality code for bioinformatics tools and pipelines, strong software development fundamentals (including Python and Linux), and experience with SQL and non-relational databases.
What are the key responsibilities of the Bioinformatics Quality Engineer?
You will review and refine data and software requirements, design and implement automated quality controls, own the test automation lifecycle, select or develop test automation tools and frameworks, and document testing and validation efforts according to quality management frameworks and regulations like ISO 9001, ISO 13485, and IVDR.
What is the salary range for this position?
The estimated base salary range is $130,000 - $160,000. Actual compensation is based on your experience, skills, geographic location, and other job-related factors.
What benefits and compensation perks are offered?
In addition to base salary, Qiagen offers a total compensation package including a bonus plan, local benefits, a referral program, a Volunteer Day, an Internal Academy (QIALearn), and an Employee Assistance Program.

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Job Information

Source: manual
AI Relevance: 75/100 (Relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
qiagen bioinformatics genomics LLM

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