Mots-Clés

immuno-hematology, computational science, bone marrow microenvironnement

Description

Job description summary
The research team directed by Drs. Karl Balabanian and Marion Espéli (Inserm U1160,
Paris, France) is seeking a degree-qualified computational scientist. The
bioinformatician will be dedicated to work on several projects in the frame of
fundamental and translational immunology-hematology research, regarding the
dialogue established between lymphoid cells and their environment. This will require
analyses of large datasets generated from single cell and bulk RNAseq, single cell and
bulk ATACseq, spatial transcriptomics, proteomics and high-throughput flow cytometry
studies. The candidate will have to work with other junior staff with bioinformatics skills.
The initial contract is for 2 years with the possibility of extension.
 

Context
Projects will be developed under the supervision of Drs. K. Balabanian and M. Espeli
leading the team “Lymphoid niches, chemokines & immuno-hematological syndromes”
(https://www.balabanian-espeli-lab.com/)
The team encompasses: 1 postdoc, 7 PhD students, 3 research assistants and 5
principal investigators. The team generates large datasets such as bulk and single cell
transcriptomics.
The team is part of the unit U1160 and of the Institut de Recherche Saint-Louis located
at Saint-Louis hospital in Paris. The building is equipped with state-of-the-art facilities
(imaging, animal facility, cytometry platforms...).
 

Profile
Candidates will have a Master or Ph.D. in bioinformatics, mathematics, computer
science, or related field. She/he should have demonstrated success in a previous
research experience in immunology/hematology-applied bioinformatics and statistics.
Knowledge in approaches for high-throughput data analysis, statistical modelling, and
classification are required. Some knowledge in immunology/hematology would be a
plus.
Strong motivation, autonomy and ability to quickly and effectively adapt to new projects
will be essential.
Please send CV and motivation letter to karl.balabanian@inserm.fr /
marion.espeli@inserm.fr
 

Skills required
*Experience in NGS data analysis
*Development of bioinformatics analysis pipelines

*Good programming skills in R, Python, SQL
*Manipulation of standard NGS bioinformatics files (fasta, vcf, sam, bed)
*Training of other team members in the principles and implementation of biological
data analysis techniques.
*Good writing skills
*Good level of scientific English

Personal skills :
*Ability to work as part of a team
*Versatility, good organizational skills, planning and rigor.

Education
Minimum degree required: 5 years' higher education