Software Engineer – Knowledge Graph

Lokation: København

On behalf of a client in the life sciences industry, we are looking for a Senior Software Engineer – Knowledge Graph to develop and maintain a knowledge graph integrating drug discovery and gene biology data, with a strong focus on data quality and reliability. Main Responsibilities • Own data quality across the knowledge graph, including validation, provenance tracking and quality metrics • Integrate, normalise and harmonise biomedical data from multiple internal and external sources • Maintain and develop the Neo4j schema, data models and supporting data pipelines • Work with data providers to resolve schema, identifier and data consistency issues • Prepare reliable graph data for downstream AI, analytics and search/retrieval use cases • Collaborate with research scientists, data scientists and engineers to translate scientific requirements into data solutions Key Requirements • Strong Python skills for data engineering and pipeline development • Hands-on Neo4j experience, including Cypher, schema design and query optimisation • Proven experience integrating heterogeneous biomedical datasets • Strong production experience with data validation, provenance and data quality management • Experience resolving schema, identifier and consistency issues directly with data providers • Familiarity with biomedical standards and identifiers such as UniProt, Ensembl and ChEMBL • Strong communication skills across scientific and technical teams • Experience within pharma, biotech or academic drug discovery is an advantage • MSc/PhD in a relevant field is an advantage • Familiarity with graph ML, embeddings or search/retrieval concepts is an advantage Other Details Assignment duration: 1/10/2026 - 31/03/2027 Location: Greater Copenhagen, 3 days onsite/week

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