Data Scientist/Bioinformatics
Cluj-Napoca, Romania
5 zile în urmă


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 more than 5000 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 and international, 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

QIAGEN is seeking a highly motivated individual to fill the position of Data Scientist / Bioinformatics to join our growing Data Sciences team.

The successful candidate will play a leading role developing algorithms and analytics strategies to drive next-generation biological discoveries.


  • Develop, prototype, and analyze the performance of novel statistical models by leveraging QIAGEN’s knowledge base and external datasets
  • Explore and elucidate signals relevant to biomarker discovery from biological knowledge bases and external statistical models
  • Participate in brainstorming sessions, maintain a highly productive and interactive work environment
  • Communicate analysis results to stakeholders across computational and experimental teams
  • Develop reproducible analyses for research and development activities
  • Provide written documentation and specifications
  • Personal Requirements

    About You

  • MSc (Ph.D. preferred) in computational biology / bioinformatics, genomics, machine learning, or related fields + 3 years of relevant experience
  • Strong statistical fundamentals, especially in Bayesian probability, iterative model development, and hypothesis testing
  • Experience with analysis of genomic NGS data
  • A good understanding of graph databases
  • Strong ability in a high-level scripting language (Python / R; Python preferred)
  • Dedicated to making a difference in a rapid-paced environment
  • Experienced in developing and implementing novel methods, and going beyond packaged algorithms
  • Comfortable designing and executing analyses in an open-ended, data-limited setting
  • Experienced in the visualization of complex experiments to derive biological insights
  • Strong ability in a high-level scripting language (Python / R; Python preferred)
  • Effective communicator, fast-learner, confident under pressure, easily adapts to new situations, team player who can work well also independently, problem solver, self-aware.
  • Preferred

  • Cancer biology background
  • Experience in analyzing external genomic / epigenomic datasets (e.g. TCGA, ENCODE)
  • Familiar with high-performance computing infrastructures (e.g. Spark)
  • Experience leveraging AWS-based services (e.g., EC2, S3) to speed analyses
  • 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.

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