Bioinformatics Research Engineer: Single-Cell Spatial Omics

SFBI; Toulouse; On-site; EUR 45,000 - 70,000; Full time

Job summary

INFINITy in Toulouse seeks a Research Engineer in bioinformatics to support single-cell and spatial omics projects investigating immune regulation of mammary gland physiology. You will collaborate with experimental scientists to design analyses and build reproducible workflows.

Responsibilities include QC, data processing, visualization, pipeline development, data submission and training colleagues in relevant methods. A strong background in computational biology is essential.

Qualifications

• Proficiency in R and/or Python and analysis of scRNA-seq and spatial transcriptomics.
• Knowledge of transcriptomic data processing, dimensionality reduction and clustering.
• Basic knowledge of immunology, physiology and molecular biology.
• Clear, organized and documented coding practices; strong communication.

Responsibilities

• Define bioinformatics requirements with researchers and project objectives.
• Analyse scRNA-seq and spatial datasets including QC, normalisation, clustering and differential expression.
• Develop reproducible analysis pipelines for multi-sample datasets.
• Integrate multi-modal data, reanalyse existing datasets and support future studies.
• Develop scripts and tools; generate figures, reports and presentations.
• Prepare public data submissions (e.g., GEO) and train team members.

Skills

R

Python

scRNA-seq

Spatial transcriptomics

Seurat/Scanpy

Education

Master’s degree or PhD in bioinformatics or computational biology

Tools

Seurat

Scanpy

GEO

QuPath

Job description

INFINITy in Toulouse seeks a Research Engineer in bioinformatics to support single-cell and spatial omics projects investigating immune regulation of mammary gland physiology. You will collaborate with experimental scientists to design analyses and build reproducible workflows.

Responsibilities include QC, data processing, visualization, pipeline development, data submission and training colleagues in relevant methods. A strong background in computational biology is essential.