|Postdoc, Institut de Recherche en Santé, Environnement et Travail (UMR 1085), Rennes (Brittany), France.|
|Entreprise/Organisme :||French Institute for Health and Medical Research (INSERM)|
|Niveau d'études :||Doctorat|
|Date de début :||January 2020 (ajustable)|
|Durée du contrat :||12 to 14 months, depending on starting date and salary|
|Rémunération :||2544 - 2919 euros per month (gross salary), depending on experience|
|Secteur d'activité :||Biostatistics, epidemiology|
|Description :||With more than 250 members, the Institut de Recherche en Santé, Environnement et Travail (UMR 1085 – Irset ; https://www.irset.org/en) is one of the largest inter- and multi-disciplinary European research centres on environmental and occupational health. Irset is a joint research unit of the Inserm institute, Rennes 1 University and the EHESP - School of Public Health, in partnership with the Universities of Angers and the French Antilles, the CNRS, and the Teaching Hospitals of Rennes, Angers and Pointe-à-Pitre. Its mission is to study the biological processes and the environmental factors (whether chemical, biological, physical, social and cultural, occupational, geographical or economic) that affect human health, and to help public health authorities make informed decisions on the basis of scientific data.
The team 3ERD aims to identify and characterize environmental exposure induced by human activity and its impact on the reproductive system (function and organs) and on child development. A specific research axis of the team is focusing on the influence of occupational and environmental exposures to chemicals during the pregnancy. In this field of research, the most robust results are obtained through longitudinal studies of mother-child/birth cohorts combined with precise measurements of pre- and post-natal exposure to environmental contaminants.
The project is based on the Inter-Cal project, coordinated by the International Agency for Research on Cancer (IARC, World Health Organization), and funded by the French Agency for Food, Environmental and Occupational Health & Safety. The Inter-Cal project seeks to address and take into account selection and classification bias in the InterPhone study. Inter-Cal also seeks to extend statistical techniques developed for research on mobile phones and cancer to other research areas, such as pesticides and child health.
In collaboration with the IARC investigators and statisticians, the applicant will have to investigate different statistical methods, including hierarchical Bayesian approaches, to control simultaneously for selection/attrition bias and multiple types of classification bias / measurement errors when assessing the influence of prenatal pesticide exposures on child growth, in the Elfe French birth cohort. This will include theoretical work conducted via computer simulation, but also characterization of the bias present in different types of measure of exposure used in several studies conducted in our team.
The applicants must have a PhD (or be about to earn one), preferably in epidemiology or biostatistics. The applicant is expected be able to conduct appropriate statistical models in the R or Python plateform, and to have a good command of English language (French is not mandatory). Experience in SAS and WinBUGS/JAGS/STAN software is a plus. Experience in one of the following fields is also welcome: Bayesian statistics; pesticides exposures; Birth cohort; classification bias characterization.|
|En savoir plus :||xx|
Post-doc offer - Inter-cal.pdf