Apprentice: AI-Driven RNA Knowledge Graphs

Evote; Toulouse; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Evotec invites a bioinformatics software developer to join the RNA Knowledge Graph project. You will design data pipelines, implement graph-based integration, and support RNA target prioritization within our platform. Ideal candidates have Python, SQL/databases, and interest in graph databases.

Git experience and collaboration are valued; Neo4j familiarity is a plus. This role offers an opportunity to work at the intersection of biology and software, contributing to cutting-edge data science

Qualifications

• Strong interest in bioinformatics, data integration, and scientific software development.
• Proficiency in Python programming.
• Knowledge of SQL and database technologies.
• Interest in graph databases and knowledge representation.
• Familiarity with Neo4j is a plus.
• Understanding of molecular biology, genomics, or RNA biology is advantageous.
• Experience with Git and collaborative software development practices.
• Professional English proficiency is a plus.

Responsabilités

• Identify and evaluate relevant RNA data sources.
• Design and implement an RNA Knowledge Graph using Neo4j.
• Develop Python pipelines to extract, transform, and integrate heterogeneous biological datasets.
• Harmonize and validate integrated data.
• Develop graph queries and analyses to support RNA target prioritization.
• Integrate the Knowledge Graph with the internal RNA druggability assessment platform.
• Contribute to technical decisions and project documentation.

Connaissances

Python

SQL

Graph databases

Neo4j

Bioinformatics

Data integration

Git

Software development

English proficiency

Outils

Neo4j

Git

Description du poste

Evotec invites a bioinformatics software developer to join the RNA Knowledge Graph project. You will design data pipelines, implement graph-based integration, and support RNA target prioritization within our platform. Ideal candidates have Python, SQL/databases, and interest in graph databases.

Git experience and collaboration are valued; Neo4j familiarity is a plus. This role offers an opportunity to work at the intersection of biology and software, contributing to cutting-edge data science