Postdoctoral Position in Modeling the Metabolic States of Cells and Tissues in Space

Inserm; France; Sur place; EUR 35 000 - 45 000; Plein temps

Résumé du poste

A leading research institute in France is seeking a skilled postdoctoral fellow in cancer bioinformatics. The role focuses on developing algorithms and statistical models to analyze cellular metabolism related to tumor biology and inflammatory diseases. Ideal candidates will have a PhD in bioinformatics or a related field, with solid machine learning and programming skills. This position is funded for 2.5 years, starting on April 1, 2026, with the first contract lasting one year.

Qualifications

• PhD in bioinformatics or related field with machine learning skills.
• Experience with deep neural networks is a plus.
• Strong interests in life science applications.

Responsabilités

• Develop algorithms and statistical models for metabolic state inference.
• Analyze the immunosuppressive microenvironment of different tumors.
• Investigate mechanisms behind chronic inflammation in autoimmune diseases.

Connaissances

Bioinformatics

Computer programming

Machine learning

Deep learning

Systems biology

Mathematical modeling

Formation

PhD or equivalent

Outils

Python

R

Description du poste

IRCM - Cancer Research Institute of Montpellier

Organisation/Company Inserm Department IRCM - Cancer Research Institute of Montpellier Research Field Computer science • Modelling tools Computer science • Programming Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France Application Deadline 17 Jan 2026 - 20:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Cancer Bioinformatics and Systems Biology team at IRCM (Cancer Research Institute of Montpellier) is looking for a talented postdoctoral fellow.

The cellular metabolism is involved in numerous aspects of tumor biology and in inflammatory diseases in general. We are developing a research program where the computational inference of cell and more globally tissue metabolic states is central. We will design and implement algorithms and statistical models that will be challenged in two application domains, which are the analysis of the immunosuppressive microenvironment of different tumors (breast, colorectal, ovary, and pancreas primarily), and the mechanisms behind chronic inflammation in specific autoimmune diseases.

Different data modalities will be considered with a preferential scenario combining transcriptomics and targeted metabolomics at spatial resolution. The bulk analysis of samples or spatial transcriptomics without matching metabolomics will also be considered.

Preferred qualifications are either a bioinformatics PhD and solid machine learning skills or a mathematics/physics/computer science PhD with strong interests in life science applications. Deep neural network practical experience would be a plus. The position is funded for 2.5 years. A first contract will be established for 1 year and extended upon performance.

Where to apply

E-mail [e-mail]

Requirements

Research Field Computer science • Modelling tools Education Level PhD or equivalent

Skills/Qualifications

Bioinformatics, computer programming (Python, R would be a plus), machine learning, deep learning, systems biology, mathematical modeling