Postdoctoral Fellow/Research Engineer in Computational Biology -pediatric brain tumors

Postdoctoral Fellow/Research Engineer in Computational Biology - Pediatric Brain TumorsCDD · Postdoc · 24 mois · Bac+8 / Doctorat, Grandes ÉcolesInstitut Curie - Computational Biology and Integrative Genomics of Cancer, Computational Oncology Dpt · Saint-Cloud (France)DescriptionThe Hosting StructureInstitut Curie is a major player in the research and fight against cancer, consisting of a hospital group and a research center with over 1000 employees and strong international representation.The objective of the research center is to develop basic research and use the knowledge produced to improve the diagnosis, prognosis, and therapeutics of cancers, bridging basic research and innovation serving the patient.LaboratoryThe Cavalli Lab is seeking a highly motivated scientist interested in deciphering pediatric brain treatment resistance.The Cavalli Lab is part of the "Bioinformatics and Computational Systems Biology of Cancer" Unit (U900 INSERM, Mines ParisTech, Institut Curie), which consists of approximately 90 researchers and students. It is a very active and growing interdisciplinary team of bioinformaticians, biologists, physicians, mathematicians, statisticians, physicists, and computer scientists.The Cavalli Lab investigates tumor heterogeneity, targeting clinically relevant questions. Our genomic approaches aim to explore clinically relevant aspects of brain tumor biology using patient sample profiling, investigating temporal and intra-tumoral/spatial heterogeneity, and 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.The ProjectWe 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 through 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's lab at the University Children’s Hospital Zurich, performing experiments on tumor samples and PDX models. The successful candidate should hold a recent PhD, have a track record of creativity in developing analytic strategies, and possess the ambition to tackle the complexity of tumor biology and intra-tumoral heterogeneity using computational analysis of cutting-edge sequencing datasets.ResponsibilitiesDrive and develop a scientific project focused on tumor heterogeneity/treatment resistance.Perform end-to-end data analysis: QC, processing, results, visualization, interpretation.Analyze 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.Candidate ProfileTraining and Skills RequiredPhD in bioinformatics, statistics, or computer science with knowledge and interest in biology.Track record of creativity in developing analytic strategies.Strong foundation of knowledge in one or more of the following: genomics, cancer biology, statistics.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.Proficiency in English and excellent scientific writing skills.Understanding of cancer cell biology is an asset, as well as experience collaborating with biologists to solve concrete biological problems.AbilitiesSelf-motivated and capable of working autonomously.Good team spirit.Ability to communicate with clinicians and biologists.Contract InformationBenefits: Collective catering and 70% reimbursement of annual travel costs, company health insurance scheme.CandidaturePlease send your CV, letter of motivation, and contact information of 3 referees to Dr. Cavalli. #J-18808-Ljbffr