Société Française de Bioinformatique

Mots-Clés

big data health data science machine learning biostatistics modeling

Description

We are recruiting a researcher with expertise in data science, biostatistics, applied statistics and/or bioinformatics. The candidate will develop an ambitious personal research project within the unit’s urinary tract infection axis that focuses i) on the pathophysiology of urinary infections, particularly on the dynamics of uropathogens in their reservoirs (enteric, vaginal, and urinary microbiomes), and ii) on their persistence/resistance mechanisms in recurrent urinary tract infections and on treatment optimization. The goal is to bring a big-data dimension to this research, leveraging both clinical and para-clinical population data from health data warehouses and omics data generated by the team.
Specifically, the researcher will:
• Apply machine learning and deep learning methods to multi-scale data to identify diagnostic and
predictive biomarkers and stratify patient subgroups within a precision medicine framework.
• Develop advanced statistical inference methods for analyzing complex and sparse big data such
as omics datasets.
• Design and implement mechanistic and stochastic mathematical models to simulate biological
processes (host-microbiome interactions, infections, microbial population dynamics). Candidates should have experience in leading such projects from conception to execution.

Candidate Profile
The researcher will be recruited by the University of Caen Normandy under the Excellence Chair program funded by the Normandy Region, aimed at attracting highly qualified and experienced researchers.
The candidate must have experience leading a research team, preferably abroad, and in obtaining and managing collaborative and ambitious research projects (e.g., ANR, ERC). The candidate will have experience supervising PhD students or postdocs.

Recruitment Process
The Excellence Chair is funded by the Normandy Region for 3 years, covering the researcher’s salary (100% research time) and funding for the research project.
At the end of this period, the researcher will be recruited—subject to evaluation—as Full Professor at the University of Caen Normandy.

Unit Description
Founded in January 2022, the DYNAMICURE Inserm 1311 Research Unit (Microbial Dynamics in Urinary and Respiratory Infections) is a dual-site mixed research unit (Inserm / Universities of Caen and Rouen) directed by Prof. JC Plantier. It brings together faculty researchers and hospital-university staff from both CHUs and Universities, including microbiologists (bacteriology and virology), clinicians (infectious disease specialists, paediatricians, and general practitioners), methodologists, and epidemiologists.
The unit conducts innovative projects addressing two major public health priorities: urinary and respiratory tract infections 🌐 https://dynamicure.normandie-univ.fr.