Apprentice in AI In SIlico

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

Development of an RNA Knowledge Graph for Therapeutic Target Prioritization

Context

RNA is emerging as a major therapeutic modality, driving the development of innovative approaches such as RNA-targeting small molecules, antisense oligonucleotides, and RNA editing therapies.

The objective of this project is to develop an RNA-focused Knowledge Graph by integrating information from multiple public RNA resources. This platform will support Evotec's internal RNA druggability assessment application, helping scientists prioritize promising therapeutic targets. It will also serve as a strategic foundation for future RNA-focused research and data science initiatives.

Missions

• Identifying and evaluating relevant RNA data sources.
• Designing and implementing an RNA Knowledge Graph using Neo4j.
• Developing Python pipelines to extract, transform, and integrate heterogeneous biological datasets.
• Harmonizing and validating integrated data.
• Developing graph queries and analyses to support RNA target prioritization.
• Integrating the Knowledge Graph with the internal RNA druggability assessment platform.
• Contributing to technical decisions and project documentation.

Required Skills

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

FR : Dans le cadre de sa politique Diversité, Evotec étudie, à compétences égales, toutes les candidatures dont celles des personnes en situation de handicap.

ENG : In the frame of our Diversity policy, Evotec considers, with equal competences, all applications including people with disabilities.