ML Research Intern: Decode Hidden Mitochondrial Microproteins

SFBI; Gif-sur-Yvette; On-site; EUR 12,000 - 17,000; Full time

Job summary

SFBI is offering a 6‑month internship (M2) in the Computational Biology of Noncoding Genomes team. You will characterize 35,000 sequences, explore physico-chemical descriptors and protein-language model embeddings, and build predictive models for mitochondrial targeting signals.

Collaboration with Sorbonne Univ researchers is expected. The project combines machine learning, bioinformatics and evolutionary biology.

Qualifications

• Proficient in Python programming.
• Basic knowledge of machine learning concepts.
• Interest in mitochondrial biology and noncoding genomes.

Responsibilities

• Characterize 35,000 candidate sequences using physico-chemical descriptors.
• Develop and benchmark ML models to predict mitochondrial targeting signals.
• Analyze sequencing data from the mito-Split GFP reporter experiment to identify targeting motifs.

Skills

Python

Machine Learning

Bioinformatics

Job description

SFBI is offering a 6‑month internship (M2) in the Computational Biology of Noncoding Genomes team. You will characterize 35,000 sequences, explore physico-chemical descriptors and protein-language model embeddings, and build predictive models for mitochondrial targeting signals.

Collaboration with Sorbonne Univ researchers is expected. The project combines machine learning, bioinformatics and evolutionary biology.