Senior Data Scientist

Overview

At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.

We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented individuals to join our exceptional teams.

We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.

At QIAGEN, every day is an opportunity to make a real-life impact.

Join us, grow with us, and together, let's shape the future of biological discovery.

‎

Senior Data Scientist

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.

We have used this technology to develop industry-leading analytic solutions for the life sciences and healthcare markets. We are passionate about our users, our products, our technology, and our vision, and are looking for talented and entrepreneurial developers who are eager to join our world-class team.

Qiagen Romania offers a professional work environment, valuing work-life balance.

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

• Comfortable in a client-facing role

Nice to have

• Developed full data-focused applications to analyze & process data

• Worked with biological data (e.g., gene expression profiles, pathways, gene metadata, etc.)

• Proficiency in graph-based analysis and network modeling, including experience with tools like NetworkX, Neo4j, or similar

• Research experience in bioinformatics, AI, or drug discovery

• Experience working with LLMs, vector DBs, RAG systems

What we offer

• Bonus/Commission

• Local benefits

• Referral Program

• Volunteer Day

• Internal Academy (QIALearn)

• Employee Assistance Program

• Hybrid work (conditional to your role)

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.

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.