Senior Software Python Engineer
⚲ Warsaw
20 000 – 35 000 zł / mies.
Wymagania
- Data modeling
- Data analysis
- Quality Management
- Python
- Use Cases
- Artificial Intelligence (AI)
- Data Integration
- Machine Learning (ML)
- Microsoft Platform
- Data Engineering
Opis stanowiska
•
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.
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.
🔍 Dekoder Ogłoszenia
🔴
Contract length > 10-12 months + extensions.
Umowa jest początkowo krótka, a jej przedłużenie nie jest gwarantowane, mimo że jest prawdopodobne.
🔴
Own data quality
Będziesz odpowiedzialny za zapewnienie jakości danych, co może oznaczać rozwiązywanie problemów pozostawionych przez innych.
🔴
Integrate data sources
Przygotuj się na pracę z wieloma różnymi, często nieuporządkowanymi i trudnymi do połączenia systemami danych.
🔴
Prepare data for AI/analytics
Twoja praca będzie kluczowa dla projektów AI/analitycznych, co może oznaczać presję na dostarczanie danych w określonym formacie i czasie.
🟡
Collaborate cross-functionally
Oczekuje się od Ciebie efektywnej komunikacji i współpracy z różnymi zespołami, co może wymagać tłumaczenia potrzeb technicznych na język naukowy i odwrotnie.