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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building and maintaining a knowledge graph that integrates heterogeneous drug discovery and gene biology data. Required technologies include Neo4j (Cypher, schema design, query optimization) and strong Python skills for pipeline and data engineering. Responsibilities cover ownership of data quality, validation, provenance tracking, integration and harmonization of sources, Neo4j schema maintenance and preparing graph data for AI/analytics. Compensation: 43 EUR/h. Benefits: sports activity cost sharing, private medical care.
from: 24 September 2026
to: 17 October 2026
salary not specifiedB2B contract (full-time)
Salary details
43 EUR / h
basic salary
Offer parameters
level:senior
working mode:hybrid
location:Warszawa, Masovian
Warszawa, Masovian
Requirements
Expected technologies
Neo4j
Python
Our requirements
- 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 working directly with data providers to resolve schema, identifier, and consistency issues
- Familiarity with biomedical standards and identifiers (UniProt, Ensembl, ChEMBL, etc.)
- Strong communication skills with cross-functional scientific and technical teams
Your responsibilities
- Own data quality: Define and enforce data validation, provenance tracking, and quality metrics across all data sources in the graph
- Integrate data sources: Work closely with internal and external data providers to ingest, normalize, and harmonize heterogeneous biomedical datasets
- Maintain the knowledge graph: Own the Neo4j schema, data modeling, and pipeline reliability
- Prepare data for AI/analytics: Ensure graph data is structured and trustworthy enough to support downstream AI and analytics use cases – including the Blindspot Analysis
- Collaborate cross-functionally: Work with research scientists, data scientists, and engineers to translate scientific needs into reliable data solutions
About the project
This is a Senior Software Engineer – Knowledge Graph role responsible for owning the data quality, integration, and development of the knowledge graph platform – a critical asset that integrates heterogeneous drug discovery and gene biology data. The primary responsibility is ensuring the knowledge graph contains accurate, traceable, and reliable data. As the robustness of the graph grows, a key expected outcome is a measurable reduction in time spent resolving data quality issues across the teams that depend on it.
This is how we organize our work
This is how we work
at the client's site
Benefits
- sharing the costs of sports activities
- private medical care
Recruitment stages
- 1.Rozmowa z rekruterem ok. 15 min
- 2.Spotkanie rekrutacyjne z klientem ok. 60 min
IT CONNECT Sp. z o.o. Sp. k.
ITConnect – Twój partner w świecie nowoczesnych kadr.
Jesteśmy polską firmą z blisko 20-letnim doświadczeniem na rynku. Nasza historia zaczęła się w 2007 roku, a dziś, dzięki dynamicznej transformacji, wspieramy nie tylko sektor IT, ale również branże takie jak inżynieryjna, budowlana, telekomunikacyjna oraz wiele innych.
W ITC wierzymy, że technologia nas łączy, ale to relacje nas budują.
Nie jesteśmy zwykłym dostawcą usług – przejmujemy operacyjne wyzwania rekrutacyjne, aby nasi klienci mogli w pełni skupić się na swojej strategii i rozwoju.
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Senior Software Engineer
I apply to:
IT CONNECT Sp. z o.o. Sp. k.
Warszawa, Masovian
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