PhD: AI-Driven Cancer Genomics & GRN Inference

CNRS; France; On-site; EUR 34,000 - 42,000; Full time

Job summary

The CNRS Institute of Genetics and Development of Rennes (IGDR) invites applications for a First Stage Researcher PhD position in bioinformatics, focusing on tumor cell plasticity using single-cell data. The project combines regulatory network inference with AI approaches and multimodal data integration in a collaborative, interdisciplinary setting.

The PhD will be conducted at Rennes on the Villejean campus, benefiting from local computing resources and strong ties to AIMPACT partners.

Qualifications

• PhD-level candidate in genetics, bioinformatics or related field.
• Strong background in bioinformatics and cancer genomics.
• Experience with single-cell transcriptomics and Python or R.
• Ability to work in an interdisciplinary team.

Responsibilities

• Identify regulatory programs linked to tumor cell plasticity using the PDAC atlas.
• Integrate multimodal data (epigenomic and transcriptomic) to refine gene regulatory networks.
• Assess generalizability to other cancers with distinct plasticity landscapes.
• Collaborate within AIMPACT and contribute to data challenges on single-cell GRN inference.

Skills

Bioinformatics

Single-cell RNA-seq

Python

Machine learning

Genomics

Education

Enrolled in PhD program

Tools

SCENIC

GenOuest platform

Job description

The CNRS Institute of Genetics and Development of Rennes (IGDR) invites applications for a First Stage Researcher PhD position in bioinformatics, focusing on tumor cell plasticity using single-cell data. The project combines regulatory network inference with AI approaches and multimodal data integration in a collaborative, interdisciplinary setting.

The PhD will be conducted at Rennes on the Villejean campus, benefiting from local computing resources and strong ties to AIMPACT partners.