Mots-Clés

multi-omics spatial omics immuno-oncology cancer biology

Description

Working environment

Located in the heart of Paris, the Cordeliers Research Center (CRC) develops fundamental, translational and clinical research in the fields of biology and health. Research projects at the CRC are multidisciplinary, mainly in the fields of oncology, immunology and metabolism. The CRC is an internationally recognized research center, ranked 2nd for oncology in France by SCImago. It has 3 supervising bodies: INSERM, Université Paris Cité and Sorbonne Université. It employs more than 500 people working in 16 teams around 5 technology platforms.

The MUST team (MUltiscale and SpatioTemporal modeling in oncology), led by Aurélien de Reyniès, was recently created at the CRC. It brings together clinicians and scientists covering a continuum of expertise in oncology, including computational biology, cancer biology, bioinformatics, statistics, medical informatics, surgery, radiotherapy, medical oncology. The MUST team aims to contribute to the development of precision medicine in oncology, both by bringing new computational methods for studying the biology of cancer, and by developing new models for a selection of cancer types to improve their day-to-day clinical management. 

Research projects

The MUST team is involved in collaborative research projects:

1. in immuno-oncology (e.g. the IMMUCAN European project and the AcSé Cible project), with the aim to decipher the key factors leading to resistance or response to immunotherapy in several cancer types,
2. and in cancer biology, aiming to characterize intratumor heterogeneity for several types of cancer (e.g. colon, bladder, retinoblastoma).

Better understand cancer to better treat it is our central objective. To contribute to this widely shared objective, our team develops innovative analytical methods and analyze multimodal data (single cell and spatial transcriptome, multiplex immunofluorescence, etc.), to propose models of the cancers studied that integrate multiple scales (tissue, multi-cell structures and interactions, cell types, functional programs). These models are then exploited to provide insights for therapeutic optimization.

Responsibilities

The recruited engineer will contribute to driving research projects, helping to supervise students and junior engineers, performing end-to-end multi-omics data analysis, integration and interpretation, presenting the results to scientific audiences, and writing articles for publication in peer-reviewed journals.

They will work in close collaboration with Aurélien de Reyniès and his team.

Training and Skills required

• PhD degree in computational biology, bioinformatics, or related areas
• Track record of creativity in developing analytic strategies
• Evidence of scientific accomplishment via peer-reviewed publications
• Excellent computational skills (R, Python, bash, …)
• Solid background in molecular/cellular biology
• Understanding and strong interest in cancer biology and immunology
• Experience with bulk, single-cell and spatial RNA-seq analysis
• Experience of image analysis
• Proficiency in English and excellent scientific writing skills

Abilities

• Must be self-motivated, capable to work in autonomy
• Have a good team spirit
• Ability to communicate with clinicians and scientists from multiple disciplines