Computational Genomics Intern: Perturb-Seq & TFs

SFBI; Illkirch-Graffenstaden; Sur place; EUR 8 900 - 18 000; Plein temps

Résumé du poste

SFBI in France is offering an M2 internship in Computational Regulatory Genomics focusing on Perturb-seq analysis of transcription factors. You will build, test and validate a complete bioinformatic pipeline for single-cell RNA-seq data, perform QC, and analyze gene expression changes with respect to nucleotide composition.

Collaboration with the Anaïs Bardet lab and IGBMC will provide an international, research-intensive environment.

Qualifications

• Education in Computational Biology, Bioinformatics or related field.
• Good programming skills in Linux (bash) and scripting languages.
• Good knowledge of statistics and biology; gen genomics interest.

Responsabilités

• Analyze Perturb-seq datasets to study TF effects on gene expression.
• Build, test and validate a complete bioinformatic pipeline for single-cell RNA-seq data.
• Perform quality control on perturbation efficacy and sequencing depth.
• Collaborate with computational and experimental biologists in a team environment.

Connaissances

bash

Python

R

Statistics

Sequencing data analysis

Team collaboration

English proficiency

Formation

Education in Computational Biology, Bioinformatics or related field

Outils

bash

Python

R

Description du poste

SFBI in France is offering an M2 internship in Computational Regulatory Genomics focusing on Perturb-seq analysis of transcription factors. You will build, test and validate a complete bioinformatic pipeline for single-cell RNA-seq data, perform QC, and analyze gene expression changes with respect to nucleotide composition.

Collaboration with the Anaïs Bardet lab and IGBMC will provide an international, research-intensive environment.