Bioinformatics Scientific Expert

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

Your tasks include

• 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.

Your profile

• 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.