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
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.
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.
Skills Required
- 5+ years working as a Data Scientist with ML and AI-driven projects
- Proficiency in Python
- Proficiency in R
- Proficiency in SQL
- Strong understanding of ML algorithms and inferential statistics
- Expertise in data preprocessing, feature engineering, and model evaluation
- API design experience
- Familiarity with OOP concepts and design patterns
- Experience with source control and issue tracking systems
- Excellent problem-solving and analytical skills
- Strong communication skills for technical and non-technical stakeholders
- Ability to document methods and processes clearly
- Comfortable in a client-facing role
- Developed full data-focused applications to analyze and process data
- Experience working with biological data (gene expression, pathways, gene metadata)
- Proficiency in graph-based analysis and network modeling (e.g., NetworkX, Neo4j)
- Research experience in bioinformatics, AI, or drug discovery
- Experience with LLMs, vector databases, and RAG systems
QIAGEN Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about QIAGEN and has not been reviewed or approved by QIAGEN.
-
Flexible Benefits — Flexible work options (hybrid or remote where roles allow), flexible hours, sabbaticals, and site-specific childcare support work–life fit. Programs are presented as available where roles allow, signaling adaptable benefit design.
-
Wellbeing & Lifestyle Benefits — A global Employee Assistance Program for employees and immediate family, alongside broader wellbeing initiatives and community volunteering time, provides everyday support. Recognition for inclusive culture reinforces the emphasis on a supportive environment.
-
Parental & Family Support — Paid parental leave positioned as above typical U.S. norms and family-oriented offerings (e.g., on-site childcare at some locations) enhance caregiver support. Reports of solid PTO and holidays further strengthen family time.
QIAGEN Insights
What We Do
QIAGEN is the leading global provider of Sample to Insight solutions that enable customers to gain valuable molecular insights from samples containing the building blocks of life. Our sample technologies isolate and process DNA, RNA and proteins from blood, tissue and other materials. Assay technologies make these biomolecules visible and ready for analysis. Bioinformatics software and knowledge bases interpret data to report relevant, actionable insights. Automation solutions tie these together in seamless and cost-effective workflows. QIAGEN provides solutions to more than 500,000 customers around the world in Molecular Diagnostics (human healthcare) and Life Sciences (academia, pharma R&D and industrial applications, primarily forensics).
