M2 internship: statistical genetics and proteomics of glycemic control in type 1 diabetes

SFBI; Paris; Vor Ort; EUR 11.000 - 18.000; Vollzeit

Benefits dieser Stelle

Standard internship stipend

Zusammenfassung

SFBI in Paris offers an M2 internship focused on statistical genetics and proteomics of glycemic control in type 1 diabetes. The project works with HbA1c genetics, inflammatory proteomics, and CGM-derived metrics across multiple cohorts.

The role provides hands-on data analysis experience in a high-impact biomedical environment, bridging genetics, bioinformatics, and biostatistics. The internship is designed as the first step toward doctoral study.

Qualifikationen

• This is an M2 internship in a Master-level program.
• Research focuses on genetic and proteomic determinants of glycemic control in type 1 diabetes.
• Work is a data analysis (dry lab) project using multiple French T1D cohorts.

Aufgaben

• Perform HbA1c genetics GWAS meta-analysis on T1D data.
• Analyze inflammatory proteome data and map pQTLs.
• Characterize CGM-derived metrics and conduct exploratory genetic analyses.

Kenntnisse

Statistical genetics

Biostatistics

Bioinformatics

GWAS meta-analysis

pQTL analysis

CGM data analysis

Ausbildung

Master's degree

Jobbeschreibung

M2 internship: statistical genetics and proteomics of glycemic control in type 1 diabetes

Stage·Stage M2·6 moisBac+5 / MasterInstitut Necker Enfants Malades (INEM), Inserm U1151 / CNRS UMR8253·Paris 15 (France)Standard legal internship stipend

Type 1 diabetes HbA1c Glycemic variability CGM GWAS meta-analysis Olink pQTL Statistical genetics Biostatistics Bioinformatics

Description

Genetic and proteomic determinants of glycemic control in type 1 diabetes: from HbA1c meta-analysis to CGM-derived glycemic risk signatures

Managing glycemic control in type 1 diabetes (T1D) remains challenging despite insulin and continuous glucose monitoring (CGM). Glycated hemoglobin (HbA1c) is the reference marker of long-term glycemic control, yet its genetic determinants in T1D are poorly characterized and it is only weakly correlated with the day-to-day glycemic variability captured by CGM metrics. Our group hypothesizes that glycemic variability is causal of T1D complications.

This is a data analysis (dry lab) project based on three French T1D cohorts (GENDIR, REVADIAB, GLUTADIAB), with three objectives:

• HbA1c genetics: GWAS meta-analysis of HbA1c, possibly extended with public summary statistics.
• Inflammatory proteome: analysis of 92 circulating inflammatory proteins (Olink panel), association with HbA1c, and mapping of protein quantitative trait loci (pQTLs).
• CGM metrics: characterization of CGM-derived metrics and a first exploratory genetic association analysis, to be extended and replicated in the SFDT1 cohort.

The student will acquire solid skills in statistical genetics (association testing, meta-analysis, colocalization) and in the analysis of proteomic and CGM-derived data.

PhD opportunity: this M2 internship is designed as the first step of a PhD project