Société Française de Bioinformatique

Mots-Clés

single-cell, breast cancer, epigenomics, transcriptomics

Description

A 3-years Research Engineer (IR) position is available to study single-cell multi-omics data for breast cancer samples. We wish to characterize the molecular landscape (genomic, transcriptomic and epigenomic) of triple negative breast cancers in respect to their response or resistance to chemotherapies. We study different model systems: breast tumor samples, PDX (patient-derived xenografts) and cell lines.

Successful applicants must have training and/or expertise in the analysis of high-throughput sequencing, ideally single-cell, with capacity to develop scripts in R and Python. Conceptual and technical background in eukaryotic chromatin and transcriptome would be appreciated. We are looking for highly motivated, science-driven candidates trained in Data Science, Statistics, Mathematics or Bioinformatics. The salary will be provided through for 3 years (starting 1 year and renewable).

The successful candidate will work within the DEpiC group (headed by Céline Vallot) in the translational Department of Institut Curie together with wet-lab biologists and other computational biologists. The Vallot lab is a dynamic and thriving team, specialist of single-cell epigenomic analysis – recipient of the Innovation Medal of the CNRS in 2022. The lab has developed both wet-lab (Grosselin Nature Genetics 2019; Marsolier & Prompsy Nature Genetics 2022) and computational resources (seehttps://github.com/vallotlab, and Prompsy Nature Communications 2020 for e.g) to analyze single cell epigenome landscapes in tumors. The successful candidate will have the unique opportunity to develop data engineering pipelines and analysis packages for these cutting-edge technologies. Institut Curie offers state-of the-art core facilities and platforms in a highly dynamic and international environment in the center of Paris.