Master 2 Internship: Agentic AI for Pharmacogenomics

SFBI; Grenoble; Sur place; EUR 8 900 - 13 000; Temps partiel

Résumé du poste

The SFBI internship offers a Master 2 / Engineering internship focusing on Agentic AI for pharmacogenomics. You will contribute to building and benchmarking an ontology-guided knowledge graph from clinical trial literature, aligning data across genes, therapies, cohorts, and observed effects.

The project sits at the intersection of AI, biomarker research, and graph-based knowledge representations. You will work with a multidisciplinary team in Grenoble, under supervisors with expertise in AI and

Qualifications

• Engineering degree or Master 2 in AI applied to life sciences, bioinformatics or data science.
• Strong Python programming skills and interest in AI applications.

Responsabilités

• Build and benchmark an ontology-guided knowledge graph from clinical trial literature.
• Optimize the processing pipeline for information extraction and data integration.
• Evaluate multiple language models on a pharmacogenomics benchmark.

Connaissances

AI for life sciences

Python

Formation

Master 2 in AI

Outils

Python

Description du poste

The SFBI internship offers a Master 2 / Engineering internship focusing on Agentic AI for pharmacogenomics. You will contribute to building and benchmarking an ontology-guided knowledge graph from clinical trial literature, aligning data across genes, therapies, cohorts, and observed effects.

The project sits at the intersection of AI, biomarker research, and graph-based knowledge representations. You will work with a multidisciplinary team in Grenoble, under supervisors with expertise in AI and