<p>INRA, Institut National de la Recherche Agronomique<br />UMR0320-UMR1319-MIA.Jouy<br />INRA, Domaine de Vilvert 78352 Jouy-en-Josas Cedex - FRANCE</p>
Jouy en Josas
We are looking for a post-doc in bio-statistics to apply for a Agreenskills grant (www.agreenskills.eu) to work on “Integration of meta-omics datasets in the context of human obesity [ObOmics]”
Eligibility criteria include “not having spent more than 12 months in France within the last 3 years immediately prior to the expected date of recruitment”, the full description is available at http://www.agreenskills.eu/agreenskills-cms/Applications/Eligibility-Requirements
The research proposal
ObOmics proposes to implement a broad data-integration, collating and connecting microbiomic data from diversity to collective genome, proteome and metabolome of the intestinal bacterial community in 50 moderately overweight patients. Complex data-sets (phylogeny, metagenomics and metabolomics) have already been acquired in the MICRO-Obes ANR, a longitudinal study including a 6-week period of well controlled energy-restricted diet, and will be advantageously enriched with quantitative metaproteomics data during the course of the proposal. This huge amount of meta-omics longitudinal data will be put in perspective with biological and physiological trajectories of the patients (host data sets from the MICRO-Obes ANR) to tentatively discover if the outcome of nutritional intervention can be related to particular functional and/or structural modules of the associated microbiota at the starting point, or to particular changes of bacterial traits over the period of nutritional transition. The future of the project is naturally geared towards modeling and a virtual ecosystem construction, with predictive potential to improve personalized nutrition strategies. The strength of ObOmics lies in the joining of complementary expertise of the partners, including nutritionists, physicians, biologists, microbiologists, specialists of all -omics sciences, bioinformaticians and statisticians. Another strength of ObOmics lies in its high added value in a field that remains largely untapped so far, and where INRA can open new avenues by its own expertise and as a leader of an international network for a comprehensive and predictive global view of the intestinal microbial community in connection with host's physiology.
Hosting conditions and research facilities: The research project relies on the complementary competencies and technological resources of internationally recognized experts in applied mathematics, human gut microbiology, nutrition, proteomics and metabolomics. It therefore provides an excellent opportunity for networking, learning new skills, and continuing professional development. All but one partners are located in Paris area, which will facilitate interactions.
The hosted fellow will be in charge of the ultimate task of the project, that is the development of a workflow for the integration of data. Enrichment of a pre-existing database with proteomic and metabolomic data will be implemented in close relationship with the MICALIS-MetaGenoPolis platform, and the phylogenetic, genomic, proteomic and metabolomic data from the gut microbiota will be put in perspective with biological and physiological trajectories of the host. Review and implementation of statistical methods for analyzing longitudinal and high-dimensional data will be conducted in the MIA-INRA research unit, in close coordination with other partners. The hosted fellow will receive personalized support of the MIA unit whose researches are devoted to applied mathematics (statistics, dynamical systems, stochastic processes, image analysis), with special interest for selection of models, high dimensional statistics, dynamical systems, and modeling of spatio-temporal systems.
The hosted fellow will also participate in the development of a workflow for the qualitative and quantitative assessment of the collective proteome of gut microbes in a fast, broad and in-depth manner, using LC-MS/MS label-free proteomics in the facilities and with the scientific support of the research unit MICALIS-INRA and the IBiSA-labelled proteomics platform PAPPSO-INRA. The fellow will benefit of unique competencies of PAPPSO-INRA in management of large-scale experiments and optimization of procedures on highly sensitive mass tandem equipments, interrogation of metagenomic databases (MetaHit), and alignment and quantification of mass spectrometry data.
Keywords: statistics; bioinformatics; data integration; multivariate data analysis; functional microbiomics
Subjects of the research proposal: Statistics; Bioinformatics; Multivariate data analysis; Predictive ecology, Personalized nutrition, Gut microbiome.
Expertise and competences: candidates should have good knowledge in Biostatistics. Skills in bioinformatics, proteomics, systems biology and a prior experience in multivariate data analysis would be very appreciated.
The candidate should also be able to interact and communicate effectively and creatively with both statisticians and biologists, in French and/or English.
Full name: Catherine JUSTE
Telephone: +33 1 34 65 24 93
Email address: firstname.lastname@example.org
Mailing address : Bât 405, INRA, Domaine de Vilvert 78352 Jouy-en-Josas Cedex - FRANCE