New Emmy Noether Group led by Dr. Julian Wolf M.Sc. at the University Eye Center Freiburg is looking as soon as possible for a
PostDoc (Bioinformatics or Biology/Biochemistry/Molecular Medicine or related with strong bioinformatics background) (m/f/d)
with focus on the analysis of cutting-edge liquid biopsy proteomics, transcriptomics and other omics data sets related to blinding diseases, such as age-related macular degeneration (AMD).
AMD is the most common cause of vision loss in elderly affecting about 300 million people by 2040. Currently, there is no effective treatment for the majority of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms and to identify new therapeutic targets and prognostic biomarkers. Novel data integration methods allow to identify signatures of retinal cell types in liquid biopsies without the need for a direct retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years.
We offer:
- a state-of-the-art workplace at the Division for Experimental Ophthalmology at the University Eye Center located at the heart of the medical campus
- a highly-motivated young team funded by the Emmy Noether Programme of the DFG eager to approach blinding diseases such as AMD
- established interface between the clinic and the lab with routine large-scale collection of clinical samples
- widespread local, national and international collaborations
Your profile at our group:
- analysis of high-throughput proteomic, (single cell) transcriptomic, digital spatial and other omics data in health and disease states
- multi omics data integration
- implementation of machine learning in data analysis
- development and implementation of custom data analysis pipelines
- manage your own projects and work on various data analysis projects (independently and in our team)
- involvement in teaching across different life science study programs at the Faculty of Medicine
Required skills:
- Ph.D. (or comparable) in Bioinformatics, Computational Biology, Computer Science or related field, or Biology/Biochemistry/Molecular Medicine with strong bioinformatics background (m/f/d)
- high-quality publications covering relevant topics (see below)
- demonstrated experience with omics data analyses guided by strong biological understanding
- demonstrated experience in statistical analysis and development of computational tools
- documented programming skills, preferably in R
- documented excellent and intuitive graphical presentation of data analyses for presentation and publication
- excellent English language skills (speaking and writing)
- comprehensive presentation of results in group meetings and at conferences
- a strong interest in translational research, to acquire biological knowledge and to work together with physicians and life scientists
- ability to work independently and in a team
The position is a fixed-term contract (expected E13 TV-L) for three years (with optional extension for another three years).
Are you interested? We are looking forward to receiving your documents. Please apply via the Apply Now-Button.
Applications should include:
- curriculum vitae with educational and employment history, research experience, publications, awards/distinctions
- motivation letter
- academic reference letter or name and e-mail address of academic references
Application deadline is August 1st, 2025.
Do you have questions? Please send us an email:
Eye Center, Medical Center, Faculty of Medicine, University of Freiburg
General information: Salary is assigned according to a pay scale. Unless prevented by operational or legal reasons, full-time positions are generally open to those wishing to job share. Where two candidates are equally suitable for a post, severely disabled candidates are given priority. Employment decisions are made by the Personnel Department.
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