Senior Software Python Engineer
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.