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.

Data Scientist (f/m/x) or Bioinformatician (f/m/x) for the Image and Data Analysis facility

Code: 1076/2022/5

The DZNE has one open position for an expert in image analysis in the Core Research Facilities at the headquarters in Bonn. Do you want to join our highly dynamic team and develop new computational tools to analyze data? You will be part of the Image and Data Analysis facility team and work on exciting projects ranging from biology to drug development.

We are seeking individuals with a high motivation to work in a service-oriented team with strong expertise in bioimaging analysis and programming.         

As you will be involved in a variety of projects, you will grow your expertise in applied data science and signal processing. Working in a stimulating research environment, you will get in touch with world-leading experts in neuroscience leveraging the latest methods such as high content screening microscopy, super-resolution microscopy, and laboratory automation technologies.

Your tasks

  • You will provide service and support related to data science and image analysis.
  • You will design, test, and implement workflows for automated analysis of high-dimensional data. For example, detection of objects in microscopic images, feature engineering, unsupervised clustering, and predictive modeling.


  • We are looking for an enthusiastic personality with great team spirit and a positive, hands-on attitude, and good communication skills.
  • We are looking for scientists with a talent for the analysis of high-dimensional datasets using state-of-the-art data science methods and a passion for developing innovative tools 
  • You have a Ph.D. and/or Master’s degree in Physics, Mathematics, Bioinformatics, Computer Science, Neuroscience, or related discipline.
  • You are fluent in Python and/or R.
  • You are confident with the Linux command line.
  • You are dedicated to writing readable and reliable code and you are familiar with software engineering methods such as testing and version control.
  • You are fluent in the English language.

Must have

  • You have experience with machine learning (e.g., clustering/classification) and multivariate analysis.
  • Able to work on an international and cross-functional team.

Not required but nice to have

  • You have experience in image processing.
  • You have experience in predictive data science related to molecular structures.
  • You have experience with SQL databases and data modeling

We offer

  • An interesting and challenging position in a research center that works on the future topics of health research.
  • An international environment characterized by a strong focus on science and research.
  • A high potential for the individual development of our employees.
  • Targeted personnel development.
  • A full-time position, initially temporary limited to 2 years (desired starting date: August 2022).
  • Employment, payment and social benefits are determined by the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst – TVöD Bund).
Apply here



Contact details

Dr. Miguel Fernandes

Working hours


Contract length

2 years, extension possible

Payment, social benefits

according to TVöD Bund

Application deadline

July 31st, 2022

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. We would like to point out that as an employee (f/m/x) of the DZNE Bonn you are subject to facility-related compulsory vaccination against the COVID-19 virus (according to § 20a of the Infection Protection Act).