Working at Charité
Working at the Charité
The Ralser Lab at Charité – Universitätsmedizin Berlin investigates how cells control their metabolism on a large scale. With a focus on yeast, we use functional genomics and advanced mass spectrometry to study how genes and metabolic pathways interact. Our goal is to uncover basic principles of metabolism that are relevant for cancer, immunology, metabolic diseases, and clinical diagnostics.
As part of the ImmunoPreCept Cluster of Excellence, we are developing approaches to extract biological information from complex, large-scale proteomics datasets by combining them with genomics and computational methods. The project brings together method development, quantitative data analysis, and biological discovery, using unique datasets from microbial systems, microbiomes, and patient cohorts.
Overview of the position
Position Overview
We are looking for a computational biologist / bioinformatician with a strong interest in quantitative biology and mass spectrometry-based proteomics.
A major focus of the project will be the development of computational and statistical approaches for analyzing complex proteomics datasets. You will investigate how experimental design, sample complexity, mass spectrometry acquisition, and data-processing strategies influence quantitative results and their biological interpretation.
The project provides access to exceptional large-scale datasets and biological resources, including proteomic datasets from microbial communities, gut microbiomes, patient cohorts, and yeast strain libraries. These systems will provide opportunities to apply and further develop computational approaches in areas ranging from microbial physiology and systems biology to host–microbe interactions and inflammatory disease.
You will:
- Generate systematic proteomic datasets as part of a collaborative team effort
- Develop and apply statistical and quantitative approaches to extract biological information from high-dimensional data
- Integrate proteomics data with other biological data, e.g. genomics data, and clinical information
- Collaborate closely with mass spectrometry experts, experimental scientists, computational biologists, immunologists, and clinicians
You will be employed as a postdoctoral researcher: According to §110 (4), sentence 3, the BerlHG provides for postdoctoral researchers to be allotted an appropriate amount of time during their working hours for their own academic development.
Information regarding the position
- Paygrade E13 according to TVöD VKA-K. Your job grade depends on your job qualification whereas the experience level depends on the number of working years. The yearly gross salary is hereby provided based on a full time position excluding yearly bonus and additional pay. You may find further information here
- Working hours full-time with 38.5 hours per week.
- The position is limited until 30.06.2028, as it is tied to the project duration
- 30 days of paid vacation per year
- The application period ends on: 11.09.2026
- Position ID: 8122