Overview
At the heart of QIAGEN’s business is a vision to make improvements in life possible.
We are on an exciting mission to make a real difference in science and healthcare. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe.
Our most valuable asset are our employees – around 6000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us.
There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started.
If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic, international and diverse teams and want to make a real impact on people’s lives, then QIAGEN is where you need to be.
Join us. At QIAGEN, you make a difference every day.
Position Description
We are looking for a Senior Computational Scientist to join our Genomic Services team to help with our mission of enabling investigators, institutions and industries around the world in answering their research questions, by providing support data analysis and interpretation with existing or dedicated solutions. This position offers a critical opportunity to contribute to the Genomic Services team by developing and executing tailored data analysis strategies. The focus will be on processing and interpreting NGS and PCR-based assay data, building robust computational pipelines, and driving actionable insights for internal stakeholders and external customers in life sciences.

Position Requirements

• Strong expertise in genomics and data analysis for next-generation sequencing (NGS) or other complex biological data (required).
• Experience developing analytical pipelines and custom analyses (required).
• Proficient in scientific programming with R or Python, and with Unix/Linux environments, including Bash scripting (required).
• Solid foundation in mathematics and statistics (required), ideally including statistical design of experiments.
• Effective communicator with the ability to present complex data to non-experts and produce clear technical documentation in English (required).
• Skilled in using common bioinformatics tools and resources; experience with relational databases (SQL) and data integration (plus).
• Knowledge of version control (Git), product development tools (Confluence, Jira), HPC, and AWS environments (plus).
• Experience collaborating with both wet-lab and computational scientists; familiarity with clinical or biopharma knowledge and settings (plus)

• Conduct genomic services projects: study design, analysis and interpretation, planning and data management/data curation, documentation to meet timelines and satisfy customer needs.
• Design, implement, refine, use data analysis workflows for genomic projects using proprietary and/or open-source tools and technologies.
• Contribute to computational strategy development or solution development in support of internal goals and customer needs.
• Maintain, update and curate automated reporting systems aligned with specific service offerings.
• Maintain, update and curate internal documentation, data archiving and software/IT infrastructure.
• Deliver clear and actionable insights and timelines for cross-functional internal projects.
• Communicate analytical outcomes to both technical and non-technical audiences with clarity and precision.

Position Requirements

• Strong expertise in genomics and data analysis for next-generation sequencing (NGS) or other complex biological data (required).
• Experience developing analytical pipelines and custom analyses (required).
• Proficient in scientific programming with R or Python, and with Unix/Linux environments, including Bash scripting (required).
• Solid foundation in mathematics and statistics (required), ideally including statistical design of experiments.
• Effective communicator with the ability to present complex data to non-experts and produce clear technical documentation in English (required).
• Skilled in using common bioinformatics tools and resources; experience with relational databases (SQL) and data integration (plus).
• Knowledge of version control (Git), product development tools (Confluence, Jira), HPC, and AWS environments (plus).
• Experience collaborating with both wet-lab and computational scientists; familiarity with clinical or biopharma knowledge and settings (plus).

What we offer
At the heart of QIAGEN are our people who drive our success. We act with passion, always challenging the status quo to drive innovation and continuous improvement. We inspire with our leadership and make an impact with our actions. We create a collaborative, safe and engaging workplace which forms the basis for high performing individuals and teams. We drive accountability and entrepreneurial decision-making and want you to excel your growth and shape the future of QIAGEN.
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.