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
DK
