Bioinformatics Postdoc at University of Regensburg, Germany | Computational Immunology
How can computational methods reveal when and how genes respond during infection and immune activity? This Bioinformatics postdoc at the University of Regensburg, Germany, combines statistical modeling, machine learning, and sequencing data analysis to investigate gene regulation. The four-year position offers opportunities to develop research methods, contribute to open-source software, and collaborate with experimental teams in immunology and virology.
- Position: Postdoctoral Researcher (m/f/d) – Computational Immunology
- Location: Regensburg, Germany
- Job ID: 26.229
- Working Hours: 40 hours per week; suitable for part-time work
- Salary Grade: TV-L E13
About The University and Research Group
The research group develops computational and statistical methods for metabolic RNA labeling data, with a strong focus on single-cell technologies such as scSLAM-seq.
Its work combines statistical modeling and scientific software development, including GRAND-SLAM and PRICE, with applications in RNA biology, virology, and immunology. The team collaborates with experimental laboratories internationally to investigate the temporal dynamics of gene regulation.
Bioinformatics Postdoc Description
The selected researcher will develop statistical and computational methods and lead data analysis projects with experimental research partners. The position includes access to primary datasets, high-performance computing infrastructure, and opportunities to shape established open-source software.
Alongside research and publication, the role involves teaching, student mentoring, grant proposal preparation, and scientific software maintenance.
Key Responsibilities
- Conceptualize, mathematically derive, and implement statistical and computational methods.
- Lead data analysis projects with experimental partners in immunology and virology.
- Prepare scientific publications and present findings at international conferences.
- Contribute to English-language lectures, seminars, and practical courses within the Faculty of Informatics and Data Science.
- Co-supervise and mentor PhD, master’s, and bachelor’s students.
- Assist with grant proposals and maintain open-source scientific software packages.
Educational Requirements and Eligibility For Bioinformatics Postdoc
- An excellent PhD in Bioinformatics or Computational Biology.
- Strong practical and theoretical expertise in statistical modeling, high-dimensional data analysis, and machine learning.
- A proven publication record in international peer-reviewed journals.
Skills and Qualifications
- Advanced programming skills, preferably in R, Python, or Java.
- Familiarity with software engineering practices, including Git and package development.
- Excellent English communication skills.
- Commitment to academic teaching and student mentoring.
Preferred Experience: Analysis of sequencing data, such as transcriptomics or single-cell genomics. Previous supervisory experience is also advantageous.
Salary and Development
Pay follows TV-L E13; a specific salary amount is not provided. The role offers support for independent research, grant writing, teaching, and academic career development, alongside flexible hours and partial remote working.
Bioinformatics Postdoc – Application Details
- Application Deadline: November 11, 2026.
- Start Date: As soon as possible.
- Contract Duration: Four years, fixed-term for scientific qualification.
- Application Method: Applications are accepted only through the online application portal.
- Scientific Enquiries: Prof. Dr. Florian Erhard — [email protected] | +49 941 943-68608.
Interested in developing methods that connect complex sequencing data with biological questions? This Bioinformatics postdoc at the University of Regensburg combines computational research, open-source software development, and international collaboration. If your doctoral training and technical expertise match the requirements, submit your application by November 11, 2026.
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