Senior Data Scientist
QIAGEN
Senior Data Scientist position in Cluj-Napoca focused on designing and developing biomedical knowledge graphs and AI-enabled applications. The role involves implementing graph-based systems, integrating analytical methods into production, and collaborating across cross-functional teams to advance bioinformatics capabilities.
Responsibilities
- Design, implement, and maintain biomedical knowledge graphs and supporting data stores
- Develop and integrate analytical methods including graph algorithms, embeddings, and computational biology techniques into production systems
- Evaluate emerging technologies in knowledge representation and biomedical AI, translating promising approaches into prototypes
- Contribute to applications combining knowledge graphs with large language models and emerging AI technologies
- Make architectural decisions, document trade-offs, and collaborate with bioinformaticians, engineers, and domain experts
Requirements
- Advanced degree in computer science, data science, biostatistics, or related field; bioinformatics/computational biology preferred
- Strong knowledge of knowledge graph design, schema modeling, entity resolution, data integration, and graph querying
- Strong Python programming skills for data processing and scientific computing; R or Java experience advantageous
- Familiarity with computational biology concepts including genes, variants, pathways, and biological ontologies
- Experience with LLMs, vector databases, and graph technologies such as Neo4j; RDF/property graph knowledge desired
- Fluent English with excellent communication skills and collaborative mindset
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