The Cavalli Lab is seeking a highly motivated scientist interested in deciphering pediatric brain tumor heterogeneity to join as Postdoctoral Fellow.
The Cavalli Lab is part of the "Bioinformatics and Computational Systems Biology of Cancer" Unit (U900 INSERM, Mines ParisTech, Institut Curie) at Institut Curie, which consists of ~90 researchers and students. It is a very active and growing interdisciplinary team of bioinformaticians, biologists, physicians, mathematicians, statisticians, physicists, and computer scientists (U900 Unit page).
The Cavalli Lab, investigates tumor heterogeneity, targeting clinically relevant questions. The goal of our genomic approaches is to explore clinically relevant aspects of brain tumor biology. We pursue this goal using patient samples profiling, investigating temporal and intra-tumoral/spatial heterogeneity as well as tumor/tumor microenvironment interactions in gliomas and pediatric embryonal brain tumors. Projects in the Cavalli lab are developed within a dynamic and collaborative environment with other researchers and clinicians at Institut Curie and from the POLA network (National POLA Network for the Treatment of High-Grade Oligodendroglial Tumours).
The successful candidate will have completed his/her PhD recently and have the ambition to tackle the complexity of tumor biology and intra-tumoral heterogeneity using computational analysis of cutting-edge sequencing datasets. S/He will be in charge of the full analysis of a new unique cohort of matched single-nucleus RNA-seq/ATAC-seq and Visium spatial transcriptomics data of primary and recurrent embryonal brain tumors with BCOR tandem duplication. This rare brain tumor type is histologically heterogeneous but little is known regarding its cell types composition and organization.
- Drive and develop scientific projects focused on tumor heterogeneity
- Perform end-to-end data analysis (QC, processing, normalization, visualization, interpretation, etc)
- Analyze single-cell and spatial transcriptomics datasets
- Use and develop methods and strategies to assess spatial heterogeneity from brain tumor samples
- Characterize tumor – tumor microenvironment (TME) interactions
- Perform high dimensional data analysis and integrative ‘omic’ data analysis.
Training and Skills required
- PhD in bioinformatics, statistics or computer science with knowledge and interest in biology
- Have a track record of creativity in developing analytic strategies
- Strong foundation of knowledge in one or more of the following: genomics, cancer biology, statistics
- Have evidence of scientific accomplishment via peer-reviewed publications
- Excellent computational skills
- Experience working in a Unix environment
- Experience in statistical analysis using R
- Experience with high-throughput sequencing data analysis
- Experience with single-cell RNA-seq analysis is desirable
- Understanding of cancer cell biology is an asset as well as experience of collaboration with biologists for solving concrete biological problems
- Excellent written and verbal communication skills in English.
- Must be self-motivated, capable to work in autonomy
- Have a good team spirit
- Ability to communicate with clinicians and biologists.
All our opportunities are open to people with disabilities
- Type of contract: Fixed-term contract
- Starting date: as soon as possible
- Duration: 1.5 years
- Working time: full time
- Remuneration: according to the current grids
- Benefits: Collective catering, reimbursement of transportation fees up to 70%, supplementary health insurance
- Location of the position: Saint-Cloud
- Reference: 2022-07-U900-POSTDOC01
Please send your CV, letter of motivation and contact information of 3 referees, to Dr. Cavalli at email@example.com
Publication date: July 2022
Deadline for application: September 2022
Institut Curie is an inclusive, equal opportunity employer
and is dedicated to the highest standards of research integrity.