AI-Driven Multi-Omics Reprogramming for Regenerative Cells

SFBI; Toulouse; Sur place; EUR 13 000 - 20 000; Plein temps

Avantages offerts par ce poste

PhD funding

Research environment

Résumé du poste

SFBI in France invites a motivated M2 internship or PhD candidate to join a project on multi-omics profiling and AI-driven reprogramming to enhance regenerative medicine. You will integrate scRNA-seq, bulk transcriptomics, and epigenomics data across adipose and muscle tissues.

Proficiency in R or Python, Git, and high-throughput bioinformatics tools is expected. The role offers funded PhD opportunities and a collaborative environment at the forefront of cell therapy research in Toulouse.

Qualifications

• M1/M2 in Bioinformatics, Computational Biology, Systems Biology, or Data Science.
• Strong programming background in R and/or Python with Git experience.
• Experience with high-throughput bioinformatics tools (e.g., Seurat/Scanpy for scRNA-seq, multi-omics integration).

Responsabilités

• Integrate published and in-house multi-omics datasets across adipose and muscle tissues.
• Identify pharmacological targets and molecules using AI-based approaches.
• Translate multi-omics patterns into biological mechanisms for reprogramming ASCs.

Connaissances

Python

R

Git

Machine learning

Formation

M1/M2 Bioinformatics

Outils

Seurat/Scanpy

Description du poste

SFBI in France invites a motivated M2 internship or PhD candidate to join a project on multi-omics profiling and AI-driven reprogramming to enhance regenerative medicine. You will integrate scRNA-seq, bulk transcriptomics, and epigenomics data across adipose and muscle tissues.

Proficiency in R or Python, Git, and high-throughput bioinformatics tools is expected. The role offers funded PhD opportunities and a collaborative environment at the forefront of cell therapy research in Toulouse.