Mots-Clés

Bioinformatics cancer genomics pediatric brain tumors single-cell

Description

The Cavalli Lab is seeking a highly motivated scientist interested in deciphering pediatric brain treatment resistance to join as Postdoctoral Fellow.

Institut Curie is one of the biggest European institutions for cancer research with strong interdisciplinary traditions. It also comprises a hospital specialized in cancer treatment, and therefore covers a continuum of expertise from fundamental research to patient care (https://institut-curie.org/). 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 (located at Institut Curie St-Cloud, west of Paris), 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 adult gliomas and pediatric brain tumors. Projects in the Cavalli lab are developed within a dynamic and collaborative environment with other researchers and clinicians at Institut Curie and beyond.

We seek a highly motivated and talented individual to be part of the ENCOURAGER project, a collaborative effort funded by Fight Kids Cancer. This project focuses on studying the causes of resistance to targeted therapy in pediatric gliomas. The applicant will investigate the longitudinal evolution of gliomas under treatment with the analysis of multi-omic profiling of pediatric glioma PDX models at single-cell resolution. This project is in close collaboration with Dr. Ana Guerreiro Stücklin lab at University Children’s Hospital Zurich performing the experiments on the tumor samples and PDX models. The successful candidate will have the ambition to tackle the complexity of tumor biology and intra-tumoral heterogeneity using computational analysis of cutting-edge sequencing datasets.

Qualification

The successful candidate should hold a recent PhD, have a track record of creativity in developing analytic strategies, and a strong foundation of knowledge in one or more of the following: genomics, cancer biology, statistics. Excellent computational skills as well as experience with high-throughput data analysis in biology and/or single-cell data analysis is highly desirable. Must be self-motivated, capable to work in autonomy, have a strong team spirit and have evidence of scientific accomplishment via peer-reviewed publications.

Responsibilities

• Drive and develop a scientific project focused on tumor heterogeneity/treatment resistance
• Perform end-to-end data analysis: QC, processing, results, visualization, interpretation…
• Analyse single-cell RNA-seq and single-nucleus ChIP-seq datasets
• Perform high dimensional data analysis and integrative ‘omic’ data analysis
• Use and develop methods and strategies to investigate treatment resistance mechanisms

Experience / Skills

• PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology
• Experience working in a Unix environment and statistical analysis using R
• Experience with single-cell RNA-seq analysis is desirable
• Proficiency in English and excellent scientific writing skills
• Understanding of cancer cell biology is an asset as well as experience of collaboration with biologists for solving concrete biological problems