Bioinformatics ML Internship: Immune Aging & Immunotherapy

SFBI; Bordeaux; On-site; EUR 12,000 - 18,000; Full time

Job summary

SFBI in Bordeaux invites a Master 2 student to join a research internship project focused on bioinformatics, ML and AI for health. The work targets immune aging clocks and cancer immunotherapy response using single-cell datasets and multi-modal analyses.

You will apply Python or R to real-world data, perform longitudinal analyses, survival modelling and exploratory ML, and contribute to developing quantitative tools for clinical trials in oncology and immunology.

Qualifications

• Master 2 student in bioinformatics, biostatistics, data science, AI for health or computational biology.
• Strong interest in oncology and immunology.
• Experience with Python or R and longitudinal datasets is required.

Responsibilities

• Apply immune aging clocks to published single-cell datasets.
• Perform multi-modal data analyses to identify biomarkers of response.
• Contribute to development of quantitative tools for clinical trials.

Skills

Python

R

Longitudinal data analysis

Machine learning

Survival analysis

Clinical data analysis

Education

Master 2 in Bioinformatics/Computational Biology

Job description

SFBI in Bordeaux invites a Master 2 student to join a research internship project focused on bioinformatics, ML and AI for health. The work targets immune aging clocks and cancer immunotherapy response using single-cell datasets and multi-modal analyses.

You will apply Python or R to real-world data, perform longitudinal analyses, survival modelling and exploratory ML, and contribute to developing quantitative tools for clinical trials in oncology and immunology.