The German Center for Neurodegenerative Diseases (DZNE) is a world-leading internationally oriented research center, committed to discovering new approaches to prevent and treat neurodegenerative diseases. To this end, researchers at ten DZNE sites across Germany pursue a translational and interdisciplinary strategy comprising five interconnected areas: fundamental research, clinical research, health care research, population health science, and systems medicine.

Student assistant (f/m/x)

Code: 1284/2024/2

The Rhineland Study is a large-scale, population-based, long-term study with up to 20 thousand participants from the Bonn area. The aim of this epidemiological study is to research prevention options and preclinical biomarkers of neurodegenerative and neuropsychiatric diseases as well as to investigate normal and pathological brain structure and function in adults over the course of their lives. The two examination centers (Beuel and Duisdorf) are equipped with state-of-the-art technology for comprehensive health examinations. The study is being conducted in collaboration with national and international academic and other scientific partners. Further information on the Rhineland Study can be found here:

Within the area of Population Health Sciences in Bonn, we are offering a position for a Student assistant for 12-19 hours/week.

Your tasks

You are actively involved in supporting the data preparation and data quality control of our ongoing research projects, this entails:

  • Quality control of data (data from questionnaires and cognitive testing)
  • Setting up R scripts for data preparation
  • Preparation of quality reports


  • Background in Computer Sciences, Data Science, Mathematics, Bioinformatics or a similar field
  • Experience in data analysis with R and willingness to enhancen your R-skills
  • Experience with data management and Gitlab is definitely a plus
  • Highly motivated
  • Conscientious, reliable working style
  • German language skills are a plus

We Offer

  • Close and active participation in a large-scale research project
  • Working in a dynamic, international environment
  • Excellent scientific infrastructure with state-of-the-art research and computational facilities

How To Apply

If we could spark your interest, we look forward to receiving your application including the following documents in one single file:

  • Letter of Motivation
  • CV
  • Transcript of records


If you have any queries about the position, please contact Rika Etteldorf (

Review of applications will begin immediately and continue until the position is filled.

Apply here



Contact details

Marie Hardt

Working hours


Contract length


Payment, social benefits

according to TVöD-Bund

Application deadline


The DZNE is an equal opportunity employer. It is committed to employing disabled individuals and especially encourages them to apply.

You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE.