Bioinformatics Quality Engineer, QDI

Posted 2 Days Ago
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Redwood City, CA, USA
In-Office
130K-160K Annually
Senior level
Biotech
The Role
Designs and executes automated quality controls and test plans for biomedical data, software features, pipelines, tools, and models. Reviews requirements and workflows for scientific validity and testability, owns testing lifecycles, develops automation frameworks, supports continuous integration infrastructure, and documents validation under quality and regulatory standards. The role requires bioinformatics industry experience, human genetics and genomics expertise, software development skills, database knowledge, and familiarity with biomedical ontologies.
Summary Generated by Built In

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.  

Skills Required

  • Undergraduate degree in bioinformatics, genetics, molecular biology, or a related field
  • 5+ years of industry experience in bioinformatics
  • Experience writing production-quality code for bioinformatics tools and pipelines
  • Graduate degree
  • Domain knowledge of human genetics and genomics
  • Familiarity with genomic biomedical research tools and databases, including NCBI, Ensembl, RefSeq, ClinVar, COSMIC, or OMIM
  • Software development experience with multiple general-purpose programming languages, including Python
  • Comfort operating in a Linux environment
  • Experience with version control, code review, unit testing, integration testing, documentation, and collaborative development
  • Experience with relational SQL databases and non-relational data models such as graph databases
  • Experience with graph databases such as AWS Neptune or Neo4j
  • Hands-on experience with biomedical ontologies and technologies such as RDF and OWL

QIAGEN Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about QIAGEN and has not been reviewed or approved by QIAGEN.

  • Flexible Benefits — Flexible work options (hybrid or remote where roles allow), flexible hours, sabbaticals, and site-specific childcare support work–life fit. Programs are presented as available where roles allow, signaling adaptable benefit design.
  • Wellbeing & Lifestyle Benefits — A global Employee Assistance Program for employees and immediate family, alongside broader wellbeing initiatives and community volunteering time, provides everyday support. Recognition for inclusive culture reinforces the emphasis on a supportive environment.
  • Parental & Family Support — Paid parental leave positioned as above typical U.S. norms and family-oriented offerings (e.g., on-site childcare at some locations) enhance caregiver support. Reports of solid PTO and holidays further strengthen family time.

QIAGEN Insights

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The Company
HQ: Hilden
6,000 Employees
Year Founded: 1984

What We Do

QIAGEN is the leading global provider of Sample to Insight solutions that enable customers to gain valuable molecular insights from samples containing the building blocks of life. Our sample technologies isolate and process DNA, RNA and proteins from blood, tissue and other materials. Assay technologies make these biomolecules visible and ready for analysis. Bioinformatics software and knowledge bases interpret data to report relevant, actionable insights. Automation solutions tie these together in seamless and cost-effective workflows. QIAGEN provides solutions to more than 500,000 customers around the world in Molecular Diagnostics (human healthcare) and Life Sciences (academia, pharma R&D and industrial applications, primarily forensics).

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