3 Masterstudent*innen (m/w/d)

Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DIFE); Nuthetal; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading research institute in nutrition located in Brandenburg is looking for a master's student to perform bioinformatic analyses on brain insulin resistance and epigenetics related to type 2 diabetes. The role involves developing analysis pipelines and working with complex datasets. Successful candidates will have a strong academic background in bioinformatics or a related field, hands-on experience in R or Python, and a collaborative spirit. Applications should be sent to [e-mail] by January 31st, 2026.

Qualifikationen

• Bachelor’s degree in a relevant field with analytical background.
• Basic skills in Unix and interest in genetics are assets.
• Experience using tools such as R/Bioconductor or Python.

Aufgaben

• Conduct bioinformatic analyses on brain insulin resistance.
• Develop analysis pipelines for epigenetic and phenotypic datasets.
• Work on multiple projects related to type 2 diabetes.

Kenntnisse

Bioinformatics

Teamwork

Data analysis

Unix operating systems

R/Bioconductor

Python

Ausbildung

Bachelor’s degree in bioinformatics, mathematics, statistics, or biological science

Jobbeschreibung

The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention.

The candidate will join an interdisciplinary team to perform bioinformatic analyses on brain insulin resistance and the epigenetic regulation of type 2 diabetes subtypes. The master’s project focuses on developing analysis pipelines to extract deeper insights from existing epigenetic and phenotypic datasets.

Project 1: Epigenetic score for brain insulin resistance

• Analyze blood DNA methylation from a large cohortli>
• Apply machine and deep learning methods to build an epigenetic risk score
• Optimize a data-integration pipeline combining epigenetic and proteomic data into a composite score

Project 2: Epigenetics and alternative splicing in type 2 diabetes

• Analyze DNA methylation in muscle biopsies
• Integrate methylome and transcriptome data to predict the relationship between DNA methylation and alternative splicing
• Use established clustering methods in the group (PAM and WGCNA)

Project 3: Epigenetic score for early T2D endotypes

• Analyze blood DNA methylation in a large cohort
• Integrate clinical and epigenetic data for correlation analyses
• Use machine and deep learning to derive an epigenetic risk score
• Apply PAM and WGCNA for data-driven patient stratification

The student will gain hands-on experience in multi-omics integration (epigenomics, transcriptomics, and clinical data) and advanced bioinformatic methods within a collaborative academic and clinical research environment.

Skills and requirements

• Bachelor’s degree in bioinformatics, mathematics, statistics, or in a biological science with substantial analytical background knowledge
• Basic skills in Unix operation systems and intrinsic interest in genetics would be an asset

The candidates will enjoy team working and interactions with experimental scientists and other bioinformaticians to work on complex datasets, and will have experience using tools such as R/Bioconductor or python. We offer excellent technical equipment and a productive working environment and expect interested and committed candidates.

Please send your application until latest January 31st, 2026 via E-Mail to [e-mail].