Researcher in biostatistics (M/F)

The successful candidate will develop original methods applied to the study of heterogeneous tumor samples using reference data sets. These methods will rely on bioinformatics analysis and integration of transcriptome, methylome and chromatin data from surgical tumor samples. The successful candidate will address the problem of quantifying tumor heterogeneity using supervised and unsupervised methods. He/She will study the genetic regulation of tumor heterogeneity.

High-throughput multiomics cancer studies have characterized inter-tumor heterogeneity and contributed to the development of consensus molecular classifications. However, these classifications neglect intra-tumor heterogeneity and reflect only the most abundant subtype in the sample examined. Isolating a cell population of interest from heterogeneous clinical samples is not possible in practice, which is why it is essential to develop bioinformatics tools to study and estimate intra-tumor heterogeneity.

The research project aims to develop integrative models of tumor heterogeneity and to infer biological behavior and associated clinical indicators, using new computational methods based on artificial intelligence.

The CNRS stands for National Center for Scientific Research, it is a French public organization for scientific research. With more than 1,100 research laboratories spread across the country, it is considered one of the largest research organizations in the world.
The candidate will be hosted in the MAGe (Methods and Algothims for Genomics) team in the TIMC laboratory in Grenoble, a multidisciplinary lab that gathers scientists and clinicians towards the use of quantitative science for understanding normal and pathological processes in biology and healthcare. MAGe team is composed of senior researchers, postdocs and students with diverse expertise in bioinformatics, genomics, and biostatistics.
The position is funded by ITMO cancer (aviesan), which promotes the applications of data science and artificial intelligence in several scientific fields. In particular, ITMO Cancer seeks (i) to leverage interdisciplinary approaches to study oncogenic processes and therapeutic perspectives, and (ii) to foster the contributions of mathematics and computer science to oncology.
The project will be supervised by Magali Richard, CNRS researcher. The project involves close collaboration with Daniel Jost (CNRS researcher at LBMC, ENS de Lyon).