Senior Data Scientist

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

QIAGEN Romania (Ingenuity Systems) is a group of creative, energetic people helping life science researchers understand the biological mechanisms that cause human disease. Our interdisciplinary, entrepreneurial team of researchers, scientists and semantic technologists built an industry-leading technology platform.

Key Responsibilities

Model Development : Design, develop, and deploy machine learning models, encompassing traditional ML, as well as DL and LLMs.

Knowledge Graph Implementation : Utilize knowledge graphs to represent and query structured biological data, enabling relationship discovery, and reasoning over gene-drug-disease interactions.

Software Engineering : Write well-documented, extensible software code that is easy to maintain, and that adheres to generally accepted programming standards and OOP practices.

Data Integration : Integrate heterogeneous data sources, such as gene expression profiles, pathway data, gene metadata, and others, to draw insights and create representations for AI analysis.

Collaboration : Work cross-functionally with bioinformatics experts and software engineers to align AI solutions with customer requests and our company’s strategic goals.

Ethical AI : Ensure transparent reporting of AI methodologies and limitations to maintain public trust, addressing risks like model bias, data security, and intellectual property.

Position Requirements

• 5 years working as a Data Scientist, with a proven track record in machine learning and AI-driven projects.
• Proficiency in Python, R, and SQL for data analysis and model development
• Strong understanding of ML algorithms and inferential statistics
• Expertise in data preprocessing, feature engineering, and model evaluation techniques
• APIs designing, OOP concepts, design patterns
• Source control and issue tracking systems
• Excellent problem-solving and analytical skills.
• Strong communication skills to collaborate with technical and non-technical stakeholders.
• Ability to document methods and processes clearly

Personal Requirements

Nice to have

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.