Lead researcher position : Computational modeling for multi-omics data

Nature Careers, France

Updated: 17 days ago
Location: Marseille, PROVENCE ALPES COTE D AZUR
Job Type: FullTime

The generalization of new generation sequencing data (i.e., multi-omics: genomics, transcriptomics, proteomics, ...) as well as the emergence of new methods (single cell sequencing, spatial transcriptomics) opens new research horizons on cancer pathologies. These data, of very large dimensions and volume, bring new methodological challenges in terms of statistical and mathematical analysis, as well as computational modeling. The development and numerical implementation of novel methods has become a key issue in modern oncology, both in terms of understanding the biology of cancers and for medical oncology. On the first aspect, the analysis and modeling of these data are, for example, fundamental for the study of key phenomena such as intra-and inter-tumor heterogeneity of cancer cells and their microenvironment. On the other hand, the integration of multi-omics data into predictive artificial intelligence models will allow the development of precision medicine based on personalized treatments.
This junior chair position will aim at developing cutting-edge computational methods to leverage multi-omics and single-cell resolution data into novel and translational discoveries in cancer research. This will be performed in synergistic interaction with the other CRCM teams.


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