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 – more than 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 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’s Digital Business Solutions leads digital transformation along the value chain, ensuring better customer service and customer satisfaction, investing in new businesses & technologies, and building & enhancing digital capabilities. The Data Science & AI Team is the cornerstone of this transformation and is looking for a new team member who is expected to:
- Take ownership of end-to-end data science & AI projects within a global organization, ensuring tasks are completed on time and meet project goals.
- Apply advanced analytical methods and develop algorithms/models to extract insights from various data sources that support business operations across the value chain.
- Collaborate with stakeholders (both technical and non-technical) to understand their needs and help translate those needs into clear analytical tasks. Provide support in making data-driven decisions across different business areas and communicate analytical insights.
- Assist in the development and maintenance of data infrastructure, dashboards, and algorithms, contributing to the ongoing improvement of the Data Science & AI department.
Position Requirements
Minimum 2 years hands-on industry experience with data science, AI or advanced analytics projects.
- Master’s degree in a quantitative field (e.g. computer science, mathematics, physics, engineering, bioinformatics); PhD optional.
- Expert knowledge of supervised and unsupervised machine learning techniques.
- Solid understanding of probability theory and fundamental statistical concepts.
- Fluent in Python and in using common machine learning libraries (e.g., sklearn, keras/tensorflow/pytorch, etc.). Programming in Spark would be beneficial.
- Familiar with agile software development and knowledge of professional software development practices, tools for source control and project management especially Git, JIRA and Azure DevOps
- Experience implementing Large Language Models or GenAI pipelines will be an asset
- Big data ecosystems, common ETL processes, and experience with the Azure tool stack will be an asset.
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.
We offer:
- Possibility to develop in an international company
- Training and development programs
- Private medical care
- Group Life Insurance
- Multisport card
- Flexible benefits platform
- Language classes
- Pension Scheme (PPE) after 12 months
- Childcare subsidy
- Happy Monday :)
- Friendly atmosphere
- Casual dress code
- Attractive location (Sky Tower)
Please make sure to send an English version of your CV!
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.
Job Reference: EMEA04605