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Postdoctoral researcher genetic epidemiology F/H
Il y a 2 mois
Employeur
Today, the University of Bordeaux is one of the most influential multidisciplinary research universities in France and internationally. Based on its core values of education and research, and through its 2030 strategic plan "Making our university model a lever for a new balance, towards action and impact", the University of Bordeaux is now accelerating its commitment to the societal challenges of the 21st century. With numerous major programs and ambitious international partnerships focused on excellence and inclusion, the University of Bordeaux is an attractive and sought-after partner for its capacity to transform, while ensuring responsible and ethical progress. It offers a privileged environment with an ambitious, diverse and open professional community, with numerous opportunities for training and mobility, and instruments supporting integration and inclusion. Joining the University of Bordeaux means embarking on an academic, scientific and human adventure with a strong commitment to meet the challenges of the 21st century.
Would you like to contribute to a major project aimed at slowing cognitive decline and preventing dementia?
Join the Bordeaux Population Health Center ( BPH, U1219 Univ. Bordeaux - Inserm) - of the University of Bordeaux, one of the leading population health research centers in France (nearly 500 staff members).
For this position, you will join the ELEANOR team, one of the BPH's 10 research teams.
This team conducts research in the following areas of expertise: Epidemiology of cancer and environmental exposures. Find out more about the team's multidisciplinary approach and the work carried out by its members.
In this context, we are recruiting two post-doctoral researchers in genetic epidemiology with a experience in biostatistics (or bioinformatics) to work on the SHIVA research project (Stopping cognitive decline and dementia by fighting covert vascular brain injury).
Votre mission
Your main mission is twofold :
The implementation of association analyses between molecular biomarkers and phenotypes linked to small cerebral vessel disease,
And the development of methodologies for integrating multi-omics data to identify new molecular phenotypes.
More specifically, your activities will be as follows:
# Data analysis
- You will participate in the bioinformatics/statistical pre-processing of multi-omics data;
- You will conduct statistical analysis of multi-omics data from the SHIVA project cohorts, and in the context of meta-analyses of other international cohorts;
- You will develop computer programs dedicated to the analysis of (gen)omic data.
# Integration of results and promotion of research
- You study the biological consistency of statistical results using bioinformatics tools and various databases;
- You participate in the promotion of results (constitution, organization, management, visualization), notably by writing scientific articles (high-level scientific journals).
# Supervision
- You will participate in the training and supervision of trainees and PhD students in the use of multi-omics data analysis software;
- You will communicate with the various project partners (national and international), in particular within the , ISGC and BRIDGET consortia.
You will be working on a high-performance computing server and will have access to multiple molecular data generated by large-scale cohorts that also include epidemiological and brain imaging data.
Vos atouts / Vos talents
Holder of a PhD in genetic epidemiology, genetic statistics, bioinformatics or equivalent, you have experience in the statistical and bioinformatics analysis of genomic data (and associated methodologies).
You are fluent in English (written, spoken and read) and have good communication skills (written and oral);
You are familiar with different programming languages (eg R, Python, C, C++, Perl), different computing environments (LINUX, Windows), and the use of computer clusters/grids.
You know how to manage, organize and manipulate large-scale (genomic) data, combining the right tools for the right problems;
You are familiar with common statistical genetics and bioinformatics tools (e.g. FUSION, GATK, GSEA, GWAMA, LDPRED, MAGMA, Metal, Plink, Regenie, PRScs, R, Regar);
You are able to carry out studies and analyses based on omics data and implement integrated multi-omics analysis strategies.
More information:
By joining the Bordeaux Population Health Center, you will work in the ELEANOR team under the direct supervision of David-Alexandre Tregouët and Stéphanie Debette.
You will interact closely with other teams at the BPH, the IHU VHI and the SHIVA project in Bordeaux.
Based in Bordeaux – access by tramway line A (stop « Hopital Pellegrin ») buses, bike.
The laboratory is near the city-centre of Bordeaux and about 60 Km of the Atlantic coast.
18-month fixed-term contract
Salary gross: between 2750€ and 3000€ according the salary grid
Job Benefits:
50 days of vacation from the first year of collaboration
Remote working possible according to needs and organization of the service
Refill of 75% of the subscription to the public transport
Participation in the private healthcare up to 15€ / month
Leisure, sport and culture for all staff
Disabled-friendly establishment
Possibility of staff parking
Sustainable mobility package for commuting – work
