En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR5525-ELSGEN-016 - Post-Doctorant en biostatistique ou en bioinformatique - H/F

Post-Doc (M/F) in biostatistics or bioinformatics

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : lundi 30 novembre 2020

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

Faites connaître cette offre !

General information

Reference : UMR5525-ELSGEN-016
Workplace : LA TRONCHE
Date of publication : Monday, November 09, 2020
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 January 2021
Proportion of work : Full time
Remuneration : 2617.05 € gross salary
Desired level of education : PhD
Experience required : 1 to 4 years

Missions

The project will continue the lab's recent work on statistical methods for causal analysis of epigenome-wide association studies in environmental epidemiology.

Activities

The project will use complementary approaches combining a concept-driven analysis with an Epigenome-Wide Association Study (EWAS) to identify CpGs and differentially methylated regions associated with post-conceptional and pre-conceptional maternal smoking. Mediation-EWAS models (multi-mediator models) will be developed and investigated in order to provide accurate identification of multiple mediators and estimation of direct and indirect effects of maternal smoking on birth weight. We will apply causal analysis, machine learning and latent variable methods to characterize causal and confounding factors. The objective of the project is to better understand the relationship between a high-dimensional set of causal markers and maternal smoking and offspring birth weight for our cohort data. Depending on the post-doc's interests, there is plenty of opportunity to add elements to the project perhaps a larger epidemiological component, a modeling dimension, methylation experiments, etc

Skills

We are seeking highly motivated applicants with a PhD in bioinformatics, biostatistics, computer science, mathematics or epidemiology. Applicants should have expertise in handling genomic or epigenomic data, and have strong statistical and computer skills. An interest in genetic epidemiology and maternal smoking would be a plus.

Work Context

The host laboratory TIMC-IMAG is a CNRS laboratory located on the La Tronche Health Campus, just opposite the Grenoble Alpes University Hospital. It brings together nearly 300 people divided into twelve research teams focused on Technologies for Health. The BCM (Computational and Mathematical Biology) team, which will host the post-doctoral student, includes around twenty people whose research themes relate to data sciences and modeling for living and health.
This work is part of a research grant from the « Institut National du Cancer » and the « Institut de Recherche en Santé Publique » that conducts in vitro experiments and compare the expected data with the dataset from placenta samples in order to identify the molecular basis of cigarette smoke-induced epigenetic alterations, their inheritability and their functional consequences. The hosting research groups are located on a medical school campus and separated by a very short distance. They are supportive, high-energy groups that currently includes 3 grad students and undergrads. The campus is located in the city of Grenoble, in the heart of the French Alps, close to plenty of hiking and outdoor activities.

We talk about it on Twitter!