Senior Software Python Engineer

This role is in the pharmaceutical industry focusing on developing and maintaining a knowledge graph platform that consolidates diverse drug discovery and gene biology data.

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

Nice to have:

• 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.

• 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.

Work mode: fully remote. Assignment type: B2B. Language requirement: English. Contract length: > 10-12 months + extensions. Recruitment process: 2 interviews with the client.