Société Française de Bioinformatique

Mots-Clés

systems biology spatial biology deep learning multimodal models tumor heterogeneity

Description

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.

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 be considered as well as.

Preferred qualifications are either a bioinformatics PhD and solid mathematics/statistics bases or a mathematics/physics/computer science PhD with strong interests in molecular biology. Deep neural network practical experience would be a plus. The position is funded for 3 years. A first contract will be established for 1 year and extended upon performance.