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Postdoctoral Fellow, Computational Biology/Cancer Genomics, Institut Curie, Paris/St-Cloud, France

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The Cavalli Lab is seeking a highly motivated scientist interested in deciphering tumor heterogeneity to join as Postdoctoral Fellow.

Duration: 24 months with the possibility of extension, starting immediately 

The Institut Curie is a major player in the research and fight against cancer. It consists of a hospital and a Research Center of more than 1000 employees with a strong international representativeness. 

The Cavalli Lab is part of the Bioinformatics, Biostatistics, Epidemiology and Computational Systems. Biology of Cancer Unit (U900 INSERM, Mines ParisTech, Institut Curie), an interdisciplinary unit 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. The successful candidate will be a recent PhD graduate with the ambition to tackle the complexity of tumor biology and temporal and intra-tumoral heterogeneity using computational analysis of data from cutting-edge sequencing efforts. The goal of our genomic approach is to explore clinically relevant aspects of brain tumor biology using patient samples especially in the context of recurrent disease. 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 for the Treatment of High-Grade Oligodendroglial Tumours.


The successful candidate should hold a PhD in bioinformatics, statistics or computer science with knowledge and interest in biology and have a track record of creativity in developing analytic strategies. He/she should have 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. Understanding of cancer cell biology is an asset as well as experience of collaboration with biologists for solving concrete biological problems. Must be self-motivated, capable to work in autonomy and have evidence of scientific accomplishment via peer-reviewed publications. Excellent written and verbal communication skills in English and a team spirit are essential.


  • Perform full data analysis (QC, pre-processing, normalization…) from raw files

  • Use and develop methods and strategies to assess tumor heterogeneity in patient samples

  • Define the most appropriate method/statistical approach to identify key transcriptional regulators

  • Analyse single-cell data

  • Perform high dimensional data analysis and integrative ‘omic’ data analysis

  • Evaluate response to treatment with clinical data information

Interested candidates are invited to send (1) a cover letter describing previous work, interests and career goals, (2) CV, and (3) three letters of reference to Dr. Cavalli at

Application deadline: 30 Sep 2020

Procedencia European Association for Cancer Research
País Francia
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