Mots-Clés

Bioinfo NGS single-cel Brain Research

Description

Junior engineer bioinformatics / bioinformatician (M/F)
As soon as possible
18 months (extendable)
A Paris 13ème

The Paris Brain Institute (ICM) is a private foundation recognized as being of public utility, whose purpose is
fundamental and clinical research on the nervous system. On the same site, 700 researchers, engineers and
doctors cover all the disciplines of neurology, with the aim of accelerating discoveries on the functioning of
the brain and the development of treatments for diseases such as: Alzheimer's, Parkinson's, multiple sclerosis,
epilepsy, depression, paraplegia, tetraplegia, etc.
 

POSITION
Context
The Paris Brain Institute is investing in cutting-edge technologies and expertise as part of its transversal
approach to the discovery of new treatments for neurological diseases. The Data Analysis Core facility (DAC)
mission within this ambitious program is to develop new tools and analyses, coordinate FAIR data governance
across the institute, and accompany researchers in exploiting the full potential of the institute’s technology
and data ecosystem. The DAC consists of an enthusiastic interdisciplinary team of experts in biostatistics,
bioinformatics, computational neuroscience, and data management. We accompany researchers throughout
the research cycle, from idea to publication. We perform analyses, develop databases, and offer training in
data analysis and good practices in data management. We are currently recruiting new team members to
strengthen our expertise in bioinformatics (spatial transcriptomics), image analysis using deep learning
(microscopy, histology, and neuroimaging), and research data governance. If you are interested in the brain
and want to apply your skills in a stimulating research environment, the DAC could be the place for you.
 

Job description (mission)
• Development of new methods in single-cell analysis
• Perform routine NGS analysis for research teams
• Support research teams in NGS analysis and interpretation of results
• Document and teach single-cell analysis and other types of NGS analysis
 

PROFILE
Know-how (Savoir-faire)
• Expertise in the analysis of single-cell data
• Skills in building high-throughput sequencing data analysis