Senior Knowledge Graph Engineer – Python / Neo4j

• Work mode - fully remote.

• Assignment type: B2B

• Start - 01.09.2026.

• Contract length > 10-12 months + extensions.

• Language - English.

• Industry - pharmaceutical.

• Recruitment process - 2 interviews with the client.

• Workload: Full time.

This role is for a Senior Software Engineer – Knowledge Graph, responsible for maintaining data quality, integration, and development of the knowledge graph platform, a vital asset that consolidates diverse drug discovery and gene biology data.

Responsibilities:

• Own data quality: Define and enforce data validation, provenance tracking, and quality metrics across all data sources in the graph.

• Integrate data sources: Collaborate with internal and external data providers to ingest, normalize, and harmonize heterogeneous biomedical datasets.

• Maintain the knowledge graph: Manage the Neo4j schema, data modeling, and pipeline reliability.

• Prepare data for AI/analytics: Ensure graph data supports AI and analytics use cases, including the Blindspot Analysis.

• Collaborate cross-functionally: Work with research scientists, data scientists, and engineers to align scientific needs with reliable data solutions.

Must Haves:

• Strong Python skills for data engineering and pipeline development.

• Hands-on experience with Neo4j (Cypher, schema design, query optimization).

• Proven experience integrating multiple heterogeneous biomedical data sources.

• Deep understanding of data quality practices in production environments.

• Experience resolving schema, identifier, and consistency issues directly with data providers.

• Familiarity with biomedical standards and identifiers (UniProt, Ensembl, ChEMBL, etc.).

• Strong communication skills with cross-functional scientific and technical teams.

Nice to Haves:

• Experience in pharma, biotech, or academic drug discovery.

• Advanced degree (MSc/PhD) in a relevant field.

• Familiarity with graph ML, embeddings, or search/retrieval concepts.