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.
- Develop, optimize, validate, and maintain bioinformatics workflows and pipelines for next-generation sequencing (NGS) data analysis.
- Analyze large-scale genomic and sequencing datasets to generate scientific insights that support product innovation and development.
- Design and optimize PCR and digital PCR (dPCR) assays using sequence analysis tools and bioinformatics methodologies.
- Create computational approaches for primer and probe design, target selection, and assay performance evaluation.
- Collaborate closely with molecular biologists, assay developers, software engineers, and product development teams throughout the product lifecycle.
- Evaluate emerging bioinformatics technologies, algorithms, AI/ML approaches, and software tools to improve analytical performance and efficiency.
- Document methods, validation activities, and scientific findings in accordance with quality standards and communicate results to internal stakeholders.
- Master's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related discipline with 1-3 years of relevant academic or industry experience; PhD preferred.
- Hands-on experience with NGS data analysis and familiarity with common genomic file formats such as FASTQ, BAM/CRAM, and VCF.
- Experience with PCR and/or digital PCR (dPCR) assay design, including primer and probe design principles.
- Strong programming skills in Python, R, or similar scripting languages, with experience working in Linux/Unix environments.
- Knowledge of machine learning methods applied to biological or genomic data and familiarity with frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Understanding of molecular biology, genomics, nucleic acid chemistry, and statistical analysis techniques relevant to bioinformatics applications.
- Experience with Git, software development best practices, and production-quality bioinformatics pipelines; experience in a regulated biotechnology, diagnostics, or pharmaceutical environment is considered an advantage.
The estimated base salary range for this position is $80,000-$110,000. 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
- Master's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related discipline
- 1-3 years of relevant academic or industry experience
- Hands-on experience with NGS data analysis
- Familiarity with FASTQ, BAM/CRAM, and VCF genomic file formats
- Experience designing PCR and/or digital PCR assays
- Knowledge of primer and probe design principles
- Strong programming skills in Python, R, or similar scripting languages
- Experience working in Linux/Unix environments
- Knowledge of machine learning methods applied to biological or genomic data
- Familiarity with scikit-learn, PyTorch, or TensorFlow
- Understanding of molecular biology, genomics, and nucleic acid chemistry
- Knowledge of statistical analysis techniques relevant to bioinformatics applications
- Experience with Git and software development best practices
- Experience developing production-quality bioinformatics pipelines
- PhD in a relevant discipline
- Experience in a regulated biotechnology, diagnostics, or pharmaceutical environment
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.
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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.
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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.
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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
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).
