Mots-Clés

data analyses omics data bioinformatics cancer

Description

Context: The Gilles Thomas Bioinformatics platform of the Synergie Lyon Cancer Foundation (SLC), is mainly dedicated to the analysis of high-throughput sequencing data (NGS) in cancer research. After building its expertise with NGS data in participating in European and international projects such as the International Cancer Genome Consortium (ICGC), it is now part of the Cancer Research Center of Lyon (CRCL) and the department of transfer research and innovation of the Centre Léon Bérard (CLB) and runs several projects in fundamental, translational and clinical research, under the scientific supervision of Alain Viari. The platform is composed of bioinformaticians, biostatisticians, bioanalysts and data managers, and uses large computing facilities to conduct the analyses.

To face the launch of several new projects involving omics data analyses, we are looking to strengthen our team of bioinformaticians and bioanalysts.

Profile: The candidate should have a background (Phd or engineer diploma) either in bioinformatics or in biology with additional skills in bioinformatics data analysis. The candidate should be able to work within a Unix environment, with the R software and should be familiar with another scripting language like bash or python. A previous experience in analyzing high-throughput sequencing data (rna/exome/genome sequencing) is mandatory.

Missions: The successful candidate will be involved in cancer research projects in collaboration with bioinformaticians, biostatisticians, biologists and clinicians, with various challenges to better understand tumour progression, susceptibility, plasticity and immune microenvironment. The main activities will consist in:

• Designing analysis plans with research partners to answer the biological and clinical questions
• Conducting bioinformatics analyses involving various types of omics data to gain new biological insights on tumour processes
• Reporting the results in written and oral communications

Not required but appreciated:

• Knowledge in cancer biology/immunology would be ideal
• Previous experience in single cell data analysis
• Previous experience in a high performance computing (HPC) environment