Computational biologist in bulk and single cell genomics and epigenomics

Institut Curie Siège
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Centre de Recherche
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 objective of the Curie Institute Research Center is to develop basic research and to use the knowledge produced to improve the diagnosis, prognosis, and therapeutics of cancers as part of the continuum between basic research and innovation serving the patient.

Context and environment

The group of Olivier Delattre at Institut Curie (Paris) “Diversity & Plasticity of Childhood Tumors (DePiCT)” investigates the mechanisms of development of childhood cancers. It seeks to unravel the role of specific genetic alterations and to understand in which cell context these alterations are oncogenic with a particular focus on the understanding of the processes that define cell identity and plasticity.  For these projects the laboratories is generating and using a variety of genomic and epigenomics data to investigate cancer and microenvironment cells at the population and single cell levels. The position will strongly beneficiate from the outstanding scientific, multidisciplinary, environment of the Institut Curie.



The candidate will investigate a variety of NGS-based omics data including GWAS, short and long reads sequencing, exome-seq, RNA-seq, HiC, HiChIP, ChIP-seq, methylation…) and single cell RNA-seq data generated from a large series of cell culture and mouse models as well as from patients. The candidate will report directly to the group director, Olivier Delattre. S/He  will closely interact with wet-lab biologists and with other bioinformaticians in the lab and within the Curie campus. The candidate will have access to bioinformatics tools and cluster server of the bioinformatic core unit (U900).  S/He will also have the ability to conceive new analysis and presentation tools and to conduct specific projects. The candidate will be in charge of statistical analyses, will present results at lab meetings and will have the opportunity to contribute publication and to attend scientific meetings.



We will consider both candidates on the postdoc level with strong bioinformatics experience and engineers with a master degree in bioinformatics with a relevant experience.

The candidate should master programming languages (R, Python…), NGS (STAR, Trinity, picard, samtools, DEseq, EdgeR, CellRanger, Juicebox…) and single cell analysis software (Seurat, Monocle, Velocyto…). S/he should also have practical understanding of multidimensional mathematical methods (ACP, t-SNE, UMAP, pseudotime, machine learning, etc.), biostatistics and mathematical modeling. S/he masters spoken and written scientific language.

Solid bases in genetics, oncology and/or in statistics would constitute strong assets.

This position requires great organizational and communication skills, capacity to present data in a clear and synthetic manner and to interact in a multidisciplinary environment.


Permanent Position / CDI.

Starting date: To be defined, in agreement with the selected candidate.

Salary: dependent on background and experience.


Applications including a cover letter with a brief statement of research experience, technical expertise and interests, a CV, a list of publications and contact details of two referees, should be sent to: Olivier Delattre, and Sandy Azzi-Hatem,

Exemple : +33112365489.
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