The University of Bonn is seeking a dedicated researcher to join the Chair of Computational Life Sciences within the Bonn Center for Mathematical Life Sciences. This position is part of the DFG-funded Collaborative Research Center/Transregio 333, “Brown and Beige Fat – Organ Crosstalk, Signaling and Energetics (BATenergy),” which aims to advance understanding of metabolic regulation and identify new therapeutic strategies for metabolic disorders.
Research Associate in Biomedical Data Science and Bioinformatics (Postdoc or PhD student) University of Bonn, Germany
Key Position Details
| Feature | Details |
| Designation | Research Associate (Postdoc or PhD student) |
| Research Area | Biomedical Data Science and Bioinformatics |
| Location | Bonn, Germany |
| Pay Grade | TV-L EG 13 (100% for Postdoc, 75% for PhD) |
| Last Date to Apply | July 26, 2026 |
Eligibility and Qualifications
- For Postdoc: PhD in (bio) informatics, computational biology, computer science, statistics, mathematics, or a related quantitative discipline.
- For PhD Student: University degree (master’s degree or equivalent) in the fields mentioned above.
- Alternative: Candidates with a life sciences degree and a strong track record in computational data analysis are also encouraged to apply.
- Key Skills:
- Profound knowledge of statistics, bioinformatics, machine learning, and/or data science methods.
- Experience in analyzing large-scale biological datasets.
- Proficiency in R or Python programming.
- Strong command of written and spoken English.
- Ability to work independently and collaboratively in an interdisciplinary environment.
Job Description
Depending on your level, you will either work under guidance (PhD) or independently (Postdoc). Responsibilities include:
- Performing bioinformatic, statistical, and machine learning analyses of various data types, such as proteomics, single-cell RNA sequencing, spatial transcriptomics, and in vitro metabolic phenotyping.
- Developing and implementing computational methods, software tools, and reproducible analysis pipelines.
- Providing computational support, consulting, and collaborating with clinical and experimental partners.
- Publishing and presenting scientific results at international conferences and in journals.
- Supervising and mentoring Bachelor’s and Master’s students.
How to Apply
Interested candidates should send their application via email to iru-mls@uni-bonn.de, quoting reference number 2026/317.
For more information, please visit the official Job posting (pdf).
Last Date to Apply: 26 July 2026
