You will work on multi-layer high-throughput sequencing data (ChIP-seq, mRNA-seq, miRNA-seq) generated for several cancer types in order to bind novel biomarkers of the disease. The data include public datasets and in-house ChIP-seq and RNA-seq data.
We are a young international team of 7 people (boevalab.com/) working mostly on the questions related to cancer epigenetics. We have a nice location close to Port-Royal in Paris 75014 with a view on the (very) top of the Eiffel Tower, and in a walking distance from the Luxembourg garden.
Selected team publications (boevalab.com/publications.html):
Heterogeneity of neuroblastoma cell identity defined by transcriptional circuitries. V. Boeva, et al. Nature Genetics, 2017 Sep;49(9):1408-1413. PMID: 28740262.
HMCan-diff: a method to detect changes in histone modifications in cells with different genetic characteristics. H. Ashoor, et al. Nucleic Acids Research. 2017. 45(8):e58. doi: 10.1093/nar/gkw1319, PMID: 28053124
Comparative analyses of super-enhancers reveal conserved elements in vertebrate genomes. Y.A. Pérez-Rico, et al. Genome Research, 2017. 27(2):259-268. PMID: 27965291
Expected skills:
• Experience in data analysis
• Good level of R and Bash-scripting is required
• Knowledge of statistical tests
• Good level of spoken English - the candidate will work in an international environment
We expect the candidate to have accomplished a Master degree in bioinformatics or a related field. Applicants with PhD will not me considered.
Please send your CV, a motivation letter and names of two references to Valentina Boeva: valentina.boeva@inserm.fr