Modeling of the Tumor Microenvironment

Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat renouvelable
Détails de renouvellement
1+2 years
Date de prise de fonction
Date de fin de validité de l'annonce

208 rue des Apothicaires
34298 Montpellier 5

Jacques Colinge
Email du/des contacts

The Colinge Laboratory Cancer Bioinformatics and Systems Biology at IRCM (Cancer Research Institute of Montpellier) is looking for a talented postdoctoral fellow to work on the evolution of the tumor microenvironment (TME) in response to therapy. This computational work will build upon on-going developments conducted in the lab to infer cellular interactions taking place in the TME. Both single-cell and bulk transcriptomics configurations will be considered. A significant part of the research will relate to lung adenocarcinoma and involve a consortium of expert laboratories in lung cancer and mouse models thereof, animal computer tomography, and 3D imaging. The postdoc position is funded for three years; a 1-year contract will be offered first and extended for another two years based on performance.

Preferred qualifications are a bioinformatics Ph.D. with solid computational skills or a mathematics, physics, or computer science Ph.D. with strong interests in life science applications.

Interested applicants should e-mail their CV, a letter of motivation, and the names and e-mails of 2 references to Prof Jacques Colinge ( Applications will be studied immediately.

Selected publications
• Alame et al., The molecular landscape and microenvironment of salivary duct carcinoma reveal new therapeutic opportunities, bioRxiv, 2019
• Lehmann et al., In Vivo Large-Scale Mapping Of Protein Turnover In The Human Cerebrospinal Fluid, bioRxiv, 2019
• Blomen et al. Gene essentiality and synthetic lethality in haploid human cells. Science, 2015
• Pichlmair et al. Viral immune modulators perturb the human molecular network by common and unique strategies, Nature, 2012
• Stukalov et al. Deconvolution of targeted protein-protein interaction maps. J Proteome Res, 2012

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