Senior Data Scientist
- Hiring from
- Romania
- Work type
- Hybrid
- Posted
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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.
About QIAGEN Digital Insights
QIAGEN Digital Insights is a global leader in providing bioinformatics solutions that empower researchers and scientists in the life sciences industry. Our innovative software tools enable the analysis and interpretation of complex biological data, driving breakthroughs in genomics, molecular diagnostics, and personalised medicine. We are passionate about our people, our users, our products, our technology, and our vision.
About the opportunity
We are seeking a dynamic and self-motivated Senior Data Scientist to join our team. The ideal candidate will play a leading role in designing and developing knowledge graphs and knowledge graph-based applications. The successful candidate will demonstrate a keen interest in exploring and adapting to emerging technologies and ideally possess a good understanding of the biomedical domain.
Your tasks
- Design, implement and maintain of biomedical knowledge graphs, supporting data stores and related applications.
- Develop and integrate analytical methods into production applications, potentially including graph algorithms, graph embeddings, link prediction, entity resolution, statistical inference, pathway analysis, and other computational biology methods.
- Evaluate emerging methods in knowledge representation, biomedical AI, and systems biology, and translate promising approaches into prototypes and production capabilities.
- Contribute to the design and implementation of applications that combine knowledge graphs with large language models and other emerging AI technologies.
- Make and document architectural decisions, evaluate technical trade-offs, and define reusable patterns for knowledge graph and AI-enabled applications.
- Collaborate with bioinformaticians, software engineers, product managers, domain experts, and DevOps or platform teams to bring capabilities from prototype to production.
Your profile
- Advanced degree in computer science/ data science/ biostatistics/ related field OR equivalent industry experience. Ideally advanced degree bioinformatics/ computational biology.
- Strong knowledge of knowledge graph design, including schema or ontology modeling, entity resolution, data integration, provenance, and graph querying. Experience with biomedical knowledge graphs is highly desirable. Familiarity with RDF representations and property graph technologies such as Neo4j and Cypher is an advantage.
- Strong Python programming skills for data processing, scientific computing, and application development. Experience with R, Java, or another relevant language is an advantage.
- Experience designing and implementing systems that leverage LLMs, vector databases and agents is a plus.
- Familiarity with computational biology concepts and data types, such as genes, variants, diseases, pathways, molecular interactions, gene expression, functional enrichment, and biological identifiers and ontologies.
- Fluent English with excellent communication skills and an enthusiasm to work in a collaborative, international team environment with an openness to experimentation as well as a passion for exploring new technologies and methodologies.
- This is a hybrid role: 3 days onsite, 2 days from home.
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.
About QIAGEN
At QIAGEN, our vision is clear: Making improvements in life possible.
This is reflected in our daily actions to help scientists, clinicians and professionals tackle some of the world’s greatest challenges – unlocking insights that advance science, improve healthcare and enhance lives.
To achieve this, we stay focused on one mission: to offer Sample to Insight solutions.
Our products and services turn complex biological samples into valuable answers. Whether it’s enabling a breakthrough discovery or improving patient outcomes, we help our customers move from data to insight, faster and with greater confidence.
Beware of job scams
Please be cautious of unsolicited job offers and requests for personal or financial information. QIAGEN will never ask candidates to make a payment as part of the recruitment process. If you are unsure whether a communication or job opportunity is legitimate, please verify it through your personal contact or hiring partner.
Your path to QIAGEN
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