CGM Time-Series Clustering Intern

SFBI; Saint-Genès-Champanelle; On-site; EUR 8,900 - 11,000; Part time

Job summary

SFBI in Saint-Genès-Champanelle seeks a Master student for a 5–6 month data science internship focused on clustering analysis of continuous glucose monitoring (CGM) profiles within precision nutrition for healthy aging. The intern will preprocess CGM data, review CGM time series clustering literature, implement methods, and deliver a full clustering analysis with quality assessment and parameter tuning.

Work is in a multidisciplinary environment with experts in data science and nutrition

Qualifications

• Statistics and data analysis
• Programming in R or Python
• Dimension reduction and clustering on time series
• Experience with time series data or CGM is beneficial
• Literature review and scientific reporting
• Team-oriented multidisciplinary collaboration

Responsibilities

• Perform clustering analyses to identify glycemic subgroups from CGM profiles
• Preprocess CGM data for clustering analyses
• Survey literature on CGM time series clustering and select robust methods
• Implement chosen methods and provide a full clustering analysis with quality assessment

Skills

Statistics and data analysis

R

Python

Time series analysis

Clustering methods

Research methodology

Education

Master in Data Science or Statistics

Tools

R

Python

Job description

SFBI in Saint-Genès-Champanelle seeks a Master student for a 5–6 month data science internship focused on clustering analysis of continuous glucose monitoring (CGM) profiles within precision nutrition for healthy aging. The intern will preprocess CGM data, review CGM time series clustering literature, implement methods, and deliver a full clustering analysis with quality assessment and parameter tuning.

Work is in a multidisciplinary environment with experts in data science and nutrition