Student Assistant / Studentische Hilfskraft (f/m/x) Data Quality Control

Code 1284/2024/2
12-19 hours/week

The German Center for Neurodegenerative Diseases (DZNE) is a world-leading, international research center dedicated to the discovery of new approaches for the prevention and treatment of neurodegenerative diseases. To this end, researchers at ten DZNE sites throughout Germany pursue a translational and interdisciplinary strategy that encompasses five interlinked areas: Basic Research, Clinical Research, Health Services Research, Population Research and Systems Medicine.

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/ studentische Hilfskraft 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

Your Profile

  • 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.

Application deadline: 31.03.2024


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



Rika Etteldorf

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