Société Française de Bioinformatique

Mots-Clés

Statistical genetics gene-environment interaction GWAS metabolic disorder

Description

Overview
The Statistical Genetics unit at the Institut Pasteur and the Systems Toxicology team at Université Paris Cité are collaborating on a long-term project to develop and implement novel methodologies to investigate how environmental risk factors shape the genetic risk of metabolic-related disorders. We seek a motivated and talented Postdoctoral Fellow to join this exciting multidisciplinary research effort.

Project Objectives
The primary goal of this project is to study the interplay between genetics and environmental factors in metabolic-related disorders using multiple innovative methodologies and large human biobanks. The project encompasses 1) Developing strategies to identify and quantify relevant exposures from large-scale human genetics cohorts, with a focus on xenobiotics, and 2) Developing and implementing approaches to screen for interactions between genetic variants and environmental factors. The application will cover multiple metabolic-related disorders, their comorbidity, and intermediate molecular phenotypes.

Position Description
The position involves a significant statistical and computational component, with a particular emphasis on gene-environment interactions and multivariate approaches. The candidate will work with real data from large-scale multidimensional cohorts and will have the opportunity to contribute to the development of cutting-edge methodologies in statistical genetics and systems toxicology.

Responsibilities
1. Data Analysis: Perform statistical analyses on large-scale genetic and environmental data to identify relevant exposures and gene-environment interactions.
2. Method Development: Develop novel statistical and computational methodologies to address the challenges of studying the interplay between genetics and the environment.
3. Collaboration: Work closely with collaborators from both the Statistical Genetics unit and the Systems Toxicology team, as well as other researchers in the field.
4. Publication: Prepare manuscripts for publication in high-impact journals and present findings at scientific conferences.
5. Mentorship: Provide guidance to students and junior researchers as needed.

Qualifications
1. PhD Degree: A Ph.D. in Statistical Genetics, Computational Biology, Bioinformatics, Epidemiology, or a related field.
2. Statistical and Programming Skills: Proficiency in statistical methods and programming languages such as R, Python, or similar.
3. Experience: Previous experience with large-scale genetic datasets and exposure data.
4. Research Experience: A strong publication record and experience in collaborating on multidisciplinary research projects.
5. Communication Skills: Excellent communication skills, both written and oral, in English.

Application Instructions
Interested candidates should submit a brief cover letter outlining your research interests and qualifications, a detailed curriculum vitae including the list of your publications, and contact information for three references.
Applicants may start in September-November 2025 and applications will be considered until the end of November 2025.
For further information and submitting your application, please contact hugues.aschard@pasteur.fr and karine.audouze@u-paris.fr