France Job Openings

CEA

Post-doctoral fellow in cell biology / biotechnology field H/F

Grenoble

August 30, 2024

Description du poste
Domaine
Santé
Contrat
Post-doctorat
Intitulé de l'offre
Post-doctoral fellow in cell biology / biotechnology field H/F
Sujet de stage
Islet transplantation graft follow-up on-chip for type 1 diabetes
Durée du contrat (en mois)
24
Description de l'offre
Project context: Diabetes is a growing threat to global health, affecting 463 million people worldwide in 2019, or 1 in 11 adults. The World Health Organization predicts that 578 million people will suffer from diabetes in 2030. Diabetes, type 1 or 2, cause an abnormal and prolonged increase of the blood glucose level, mainly caused by deficiency or failure to use insulin. In the long term, diabetes can lead to many complications, including vasculopathy, neuropathy, retinopathy, and diabetic foot ulcer.
Cell replacement therapy is possible for some patients, called pancreatic islet transplantation, which has recently been accepted into routine care by the French “Haute Autorité de Santé”. Despite the effectiveness of this therapy some weaknesses remain, highlighting the need to have a relevant human model, to understand the decline of pancreatic islets transplant in order to finely-tune the treatment for each grafted patient.
In this context, we aim at personalized medicine for T1D patients’ ongoing pancreatic islet transplantation.
Project description: This candidate will be using native human islets and be involved in the cryopreservation of native islets, islet-on-chip experiments, and immunity assessment with the patient’s samples, to answer the personalized medicine challenges. The candidate will work closely with our research team and collaborate with our partners (CEA Leti, CHU Grenoble).
The candidate will perform cell culture, microfluidics, transcriptomics analysis, image analysis and quantification.
Profil du candidat
Candidate profile:
  • Highly motivated, enthusiast and curious,
  • Background in cell biology, primary cell culture, molecular biology, or a related field,
  • Background in image analysis and quantification (Imaris for eg)
  • Background in bioinformatics and transcriptomics analysis would be a plus,
  • Strong analytical and organizational skills,
  • Ability to work independently and as part of a team,
  • Good ability to interact with people.
Localisation du poste
Site
Grenoble
Localisation du poste
France, Auvergne-Rhône-Alpes, Isère (38)
Ville
Grenoble
Demandeur
Disponibilité du poste
01/01/2025



Informations générales
Entité de rattachement

Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.

Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.

Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.

Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :

  • La conscience des responsabilités
  • La coopération
  • La curiosité
Référence
2024-32782
Description de l'unité

Laboratory: BIOMICS LAB, IRIG, CEA Grenoble (UGA/Inserm/CEA), 17 avenue des Martyrs, 38 054 Grenoble, France. Head of lab: Xavier Gidrol.

We conduct complementary scientific and technological work and coordinate our research to implement our global scientific project aiming at the identification of biomarkers and therapeutic targets, the study of their function, their use for diagnosis and for the development of new therapeutic solutions in the form of drug candidates or biotherapies derived from cell and tissue engineering, as well as tools for bioinformatics analysis of experimental data, mainly in metabolic diseases and cancer
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