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Research Associate in Applied Computer Science at the Universität Augsburg 2026

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The University of Augsburg is seeking to fill a Research Associate at Postdoc Level position, Faculty of Applied Computer Science as soon as possible for the Augsburg Bioinformatics Core Facility (ABC) with a focus on single-cell data analysis and scientific support of biomedical research projects.  

The successful candidate will work closely as a research associate with the management of the ABC as well as other internationally renowned female scientists, faculty members, clinical researchers, and bioinformaticians. A particular focus will be on the integration of single-cell and multi-omics data into translational research projects.

 

Table of Content

Summary

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Benefits

  • Opportunities for independent work and taking on responsibility.
  • A scientifically demanding postdoc position in an established and cooperative bioinformatics core facility.
  • Active participation and intellectual involvement in highly relevant single-cell and multi-omics research projects with clinical and translational significance.
  • Access to modern single-cell technologies, high-performance HPC infrastructure and up-to-date bioinformatics workflows.
  • Close collaboration with interdisciplinary teams from biology, medicine and computer science.
  • Opportunities for professional development, including further training, conference participation and methodology development.
  • Flexible and family-friendly working conditions in an international research environment.
  • Appointment and remuneration according to pay grade A 13 in accordance with the applicable civil service regulations; initially limited to three years, with option of permanent employment.
  • A safe, inclusive and stimulating working environment at a public research institution.

Requirements

  • Completed doctoral studies (PhD) in bioinformatics, computational biology, systems biology, data science or a related field.
  • Proven expertise in the analysis of single-cell sequencing data.
  • Solid programming skills, preferably in Python and/or R, as well as experience with established bioinformatics tools and frameworks.
  • Experience with workflow management systems (e.g., Snakemake, Nextflow) and controlled software environments (e.g., Docker, Singularity, Conda).
  • Strong interest in interdisciplinary collaboration, especially at the interface between medicine, biology and computer science.
  • Experience in handling HPC environments and large datasets.
  • Independent, reliable and service-oriented work style within a core facility structure.
  • Excellent English skills; basic knowledge of German is required.

Application Documents

  • Cover letter
  • CV
  • Relevant certificates

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

April 30, 2026

How To Apply

  • Please send your complete application documents as a single PDF file to: Prof. Dr. Andreas Raue [email protected].

For more information kindly visit the Universität Augsburg webpage.

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