Bioaster is a Technological Research Institute (TRI), the only health-related TRI in France dedicated to innovation in infectious diseases & microbiology. Fields of expertises include antimicrobials, vaccines, diagnostics, microbiota.
I - MISSIONS
The “Data management and analysis” Technological Unit is developing technologies and solutions to collect, follow, analyze, visualize and exploit the experimental data generated by the BIOASTER units: genomics, transcriptomics, proteomics, metabolomics, cytometry, imaging, and data from preclinical and clinical studies, or public databases.
The candidate will :
Propose a methodological jump for the statistical analysis of high dimensional data – from multi-omics, phenotypic and/or clinical origin - to provide strong and innovative answers to translational sciences issues of the Technology Research Institute, e.g the identification of biomarkers or the characterization of mechanisms of action, by taking more particularly into account the duality and the complexity of host-pathogen systems.
Develop the processes for a global integration and analysis of data from different sources (public, internal or generated in collaborative projects)
Contribute to the automation and the integration of these processes at the heart of the Scientific Information system and the bio-computing platforms of BIOASTER.
II - ACTIVITIES
Evaluate the technologies for the structuration and the analysis of complex or large data and perform scientific watch in this area,
In collaboration with the bioinformatics and biologists community of BIOASTER:
- identify the relevant sources of information for each project, set-up their collection, curation and delivery to the bioinformatics analysis pipelines,
- contribute to the evaluation of statistical methods for the transformation, the standardization and the integrative analyses of omics, phenotypic, preclinical and clinical data, as well as to their developments,
- Contribute to the evolution of the bioinformatics platform, and of the processes and methods governing data storage, cloud computing, and visualization.