Software Engineer – Knowledge Graph

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