Job Board Title:
Post-doctoral position in Environmental Epidemiology - Biostatistics Inserm (Grenoble or Rennes, France)
Post Date
6/12/2025
Expiration Date
8/11/2025
Details:
Start date: Fall 2025 (no later than December 1st, 2025)
Contract duration: 2 years
Host institution & location:
The candidate can choose between the Institute for Advanced Biosciences (IAB, Inserm U1209) in
Grenoble and the Research Institute for Environmental and Occupational Health (IRSET, Inserm
UMR 1085) in Rennes.
Project focus:
This postdoctoral position is centered on the impact of early-life chemical exposure on child
cardiovascular and metabolic health. The innovative aspects of the project include the large sample
size (1000 participants across three cohorts), the use of novel markers of cardiovascular health
(retinography), and the application of untargeted metabolomics. This project has the potential to
produce clear guidelines for citizens and stakeholders on which are the most harmful chemicals for
cardiovascular health and how to reduce exposure to these chemicals. In practice, the candidate will be
involved in two projects.
Project 1 : Epidemiological analysis of European cohorts
You will explore associations between prenatal and early childhood exposure to chemicals (e.g.,
phthalates, phenols, PFAS, PCBs, pesticides) and cardiovascular health using harmonized data from
three European mother-child cohorts: INMA (Spain, https://www.proyectoinma.org/), PELAGIE
(France, https://www.pelagie-inserm.fr/), and SEPAGES (France, https://cohorte-sepages.fr/fr).
Health outcomes include blood pressure, pulse wave velocity, and retinal microvascular
measurements (retinography).
Project 2 : Intervention study and untargeted metabolomics
You will contribute to the analysis of the IRECO intervention study (https://ireco.hypotheses.org/),
in which exposure to endocrine disruptors was reduced through personal care product substitution.
Untargeted metabolomic profiling (HRLC-MS) is ongoing in urine and blood samples. You will
analyze pre/post-intervention data using dimension reduction and mixture modeling techniques to
identify the impact of the intervention on health-related biomarkers.
Main activities:
-Design and conduct advanced statistical analyses (exposure mixtures, untargeted metabolomics)
-Manuscript writing and presentation of results at international conferences
-Collaborate within a dynamic, international consortium (Inserm, ISGlobal)
Qualifications:
Required profile:
-PhD in epidemiology, biostatistics, data science, or a related field
-Strong experience in data analysis (preferably R or Python)
-Experience with exposure-health modeling and/or omics data is a plus
-Good English level required (French not necessary)
Comments:
To apply, please send your CV and a motivation letter to:
-Claire Philippat: claire.philippat@inserm.fr
-Marion Ouidir: marion.ouidir@univ-grenoble-alpes.fr
-Charline Warembourg: charline.warembourg@univ-rennes.fr
Application deadline: June 25th, 2025
Employer:
INSERM
Contact:
Claire PHILIPPAT
Email:
claire.philippat@inserm.fr
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