Download COMPUTATIONAL IMMUNOLOGIST

COMPUTATIONAL IMMUNOLOGIST
Description
‘PRECISESADS’ is a new research project funded by the Innovative Medicines Initiative
(IMI), a joint undertaking between the European Union and the pharmaceutical industry
association EFPIA, that brings together an extensive network of European industrial, clinical
and academic experts looking to use innovative diagnostic technology to relate systemic
autoimmune disease (SAD) to detectable changes in individual molecular signatures.
In all, 23 academic and 5 industrial partners from 12 countries spread right across Europe,
will work for 5 years to deliver a new molecular taxonomy of SAD that can be directly
accessed by physicians, patients, regulators and drug developers to help define, refine and
discover better treatments for SAD.
Scope
A major scope is the integration of high dimensional data from flow cytometry analysis to
identify cell subsets (using 8-color flow cytometry multi-analysis) as well as to generate
quantitative datasets to ultimately identify robust correlations between cellular populations,
genetic variants, gene expression and methylome marks. Subsequently, in collaboration with
the work package from ‘PRECISESADS’ dedicated to Bioinformatics, generated flow
cytometry data will be used as potential biomarkers for SADs alone or combined with other
biomarkers. Identification of immune cell clusters will demand close coordination with the
immunologists from the group to evaluate relevant and assayable readout combinations.
Qualifications
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PhD in Computational Biology or a related multidisciplinary field in the field of
immunology, focusing on the analysis and modeling of control mechanisms of
heterogeneous multicellular processes.
Demonstrated experience with high-dimensional data integration and biological
interpretation.
Demonstrated experience in handling high-dimensional single cell data, i.e. flow
cytometry, and/or mass cytometry, single cell transcriptomics, and their integration at
the population level.
Strong programming and scripting skills that enable the development of functional
prototypes.
Experience in the analysis of flow cytometry data using R/Bioconductor or similar
software and/or genomics, proteomics.
Experience with statistical deconvolution of cell type-specific expression profiles in
complex tissues would be an asset.
Excellent communication, reporting and team working skills, yet able to work
independently.
Primary Location: Brest, France
Organization and contact: Pr Jacques-Olivier Pers, UBO, EA2216, “Immunology &
Pathology”, Laboratory of Immunology, CHRU Morvan, BP 824, 29609, Brest cedex,
[email protected]
Job Function: Engineer