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
Data Scientist (m/f/d)
JOB ID: EMEA01195
LOCATION: Hilden (near Duesseldorf)
DEPARTMENT: Data Science / Analytics
EMPLOYMENT TYPE: Regular Full-Time
QIAGEN is one of the most successful biotech companies. As the leading provider of innovative purification technologies, molecular testing solutions, and smart bioinformatics we empower our customers to be at the forefront of the molecular biology revolution and advancing patient health.
The Digital Accelerator of QIAGEN was founded to lead QIAGEN’s digital transformation along the value chain, ensuring better connection with customers, investing in new businesses & technologies and building digital capabilities. The Data Science team is the cornerstone of this transformation and is looking for a new team member who shall be able to:
Minimum 2 years hands-on industry experience with data science or advanced analytics projects.
Master’s degree in a quantitative field (e.g., mathematics, physics, computer science, engineering, bioinformatics); PhD preferred.
Expert knowledge of supervised and unsupervised machine learning techniques.
Solid understanding of probability theory, statistics, and time-series analysis: Bayesian statistics, ARIMA, MCMC, ANOVA, etc.
Well-versed in R, Python and in using common machine learning libraries (e.g., sklearn, keras/tensorflow, statsmodels, OpenCV, etc.). Programming in Spark would be a plus.
Experience in C++ would be a plus.
Experience with big data ecosystems and Azure tool stack would be a plus.
Hands-on experience in any of the following areas would be a plus: anomaly detection, IoT analytics, real-time/streaming analytics, variant identification in NGS runs, RNAseq, and Metagenomics (long read sequencing).
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.