Postdoctoral position in bioinformatics. scRNAseq and spatial transcriptomics of cancer.
CDD · Postdoc · 18 mois Bac+8 / Doctorat, Grandes Écoles Gustave Roussy, U981 INSERM Unit · VILLEJUIF (France)
Date de prise de poste : 1 septembre 2023
scRNAseq, spatial transcriptomics, cancer
Exploring the role and manipulating the tumor micro-environment in aggressive meningioma
Research environment and project
Gustave Roussy, the premier European Cancer Centre, recruits a bioinformatics or computational biology postdoctoral fellow for the project in collaboration with Hopital Pitié-Salpetrière that aims at exploration of the tumor microenvironment (TME) in aggressive meningioma.
The postdoctoral fellow will have access to a unique set of scRNAseq and spatial transcriptomic data from benign, malignant and highly aggressive meningiomas. Her/his mission will be to identify markers in TME associated to different clinical variables of meningioma in order to improve understanding of the progression in a patient-specific context. Model building and validation will also exploit available public databases.
The successful candidate will be supported on the longer term to apply for CNRS/INSERM starting grants and positions in order to establish his/her own research group at Gustave Roussy.
Applicants should have doctoral experience in human genome/transcriptome data analysis and/or machine learning, with a desire and capacity to acquire complementary expertise, including in oncology. Valued skills for this position include: scRNA/CITEseq analysis pipelines, experiments with spatial transcriptomics analysis, multi-omics integrative models, statistical classification, gene network and gene module analysis.
In order to apply to CNRS or INSERM starting grants, a solid doctoral and postdoctoral publication track record is necessary.
The postdoctoral fellow will be self-motivated and able to work independently and get actively involved with colleagues of the PRISM institute.
Ph.D. in bioinformatics, computational biology, biostatistics or machine learning.
Date limite : 1 août 2023
Offre publiée le 6 avril 2023, affichage jusqu'au 1 août 2023