Postdoctoral Fellow in Computational Biology/Cancer Genomics

Institut Curie
Paris, France, France
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoctoral Fellow in Computational Biology/Cancer Genomics

The Cavalli Lab is seeking a highly motivated scientist interested in deciphering tumor heterogeneity 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 ( 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 (

The Cavalli Lab, located at Institut Curie St-Cloud (west of Paris), investigates tumor heterogeneity, asking clinically relevant questions. 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 (National POLA Network for the Treatment of High-Grade Oligodendroglial Tumours).

The successful candidate should hold a 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 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


  • PhD in bioinformatics, statistics or computer science with knowledge and interest in biology
  • Experience working in a Unix environment
  • Experience in statistical analysis using R
  • 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
  • How to Apply

    Applicants should email (1) a cover letter describing previous work, interests and career goals, (2) CV, and (3) three letters of reference to Dr. Cavalli at