Mots-Clés

Bioinformatician, Computational biologist, Imunology

Description

Gustave Roussy, Europe's leading cancer center, is recruiting a Bioinformatician or Computational biologist to join our group Research Unit 1015, headed by Dr. L. ZITVOGEL, as part of Florent GINHOUX's team working on the “spatial transcriptomic and myeloid cell” project.

The position is for a 12-month fixed-term contract (with the possibility of a 6-month extension).
Possibility of extension to a permanent site contract.

As a full-time employee in the Ginhoux Laboratory, the candidate will work to develop bioinformatics pipelines for spatial trancriptomic (e.g., single-cell RNAseq, image analysis, spatial transcriptomics, etc.), but also on the analysis of the data generated in the lab.

Fluent programming in Python and advanced knowledge in one of the other languages (R, Perl, Julia, Matlab, or Java) is required.

Experience in applied machine learning and/or deep learning is a plus.

We are developing spatial technologies (Merscope, Xenium, Visium HD, MACSIMA) to study the spatial interaction between the immune system and different types of tumours (HNSCC, PDAC,Neuroblastoma, Breast, Lung…). Other techniques will be associated with these studies to understand the tumoral microenvironment fully (Proteomics, Metabolomic, Single-cell RNA-seq, ATAC-seq).

We are looking for someone with experience in single-cell RNA-seq data analysis and multi-omics data integration, knowledge of immunology, and an eagerness to learn more.

Basic Qualifications

• Master’s degree in bioinformatics/computational biology or a related field with 1+ year of experience, or a PhD in bioinformatics, computational biology, genomics, or a related field.

• Proficient in Python, Unix, R, and advanced knowledge in other languages.

• Good knowledge of immunology

Additional Qualifications and Skills

• Knowledge in Linux shell scripting, high-performance computing, and workflow management systems such as Snakemake or Nextflow

• Excellent written and verbal communication skills, including the ability to document methods and results clearly and concisely for tutorials and manuscripts

• Ability to interact well with a broad constituency including students, postdoctoral fellows, faculty, and research staff.

Additional Information

• This is a one-year term position with the possibility of extension based on performance

• All formal written offers will be made by Gustave Roussy Human Resources.

Department

Florent Ginhoux laboratory
“Myeloid cells in health and disease”
INSERM Unit 1015
Gustave Roussy
114 Rue Edouard Vaillant
94805 -Villejuif
France

POSITION DESCRIPTION

Key responsibilities include:

• Analyse data in collaboration with scientists generating spatial transcriptomic data

• Work closely with Gustave Roussy faculty, postdocs, and students to advise on the analysis of biological ‘big data.’

• A key part of this responsibility will be to incorporate best practices to build a highly valued set of training materials.

This flexible job provides opportunities for research and extensive collaboration in the context of a strong intellectual environment with a good work-life balance. The Ginhoux group lies at the intersection of scientific research and large-scale computational analysis and works with many research groups. We are thus looking for someone who has a keen ability to pick up new knowledge and enjoys working on a wide variety of projects across a range of methods.

We are an equal-opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, gender identity, sexual orientation, pregnancy, or any other characteristic protected by law.

Working Conditions

• Work is performed in an office setting.

• This position will be based on our laboratory in Gustave Roussy, with the possibility of having a hybrid in-person/remote schedule.

We are seeking talented and passionate people to join our team. If you are interested in joining us, please send an email to margaux.gardet@gustaveroussy.fr and include your CV and contact information for three references.