Charité - Universitätsmedizin Berlin - CC02, Institute of Biochemistry & Core Facility, High-Throughput Mass Spectrometry
The Charité - Universitätsmedizin Berlin is a joint medical faculty, which serves both Freie Universität Berlin and Humboldt Universität zu Berlin. As one of the largest university hospitals in Europe with an important history, it plays a leading role in research, teaching and clinical care. The Charité university hospital has also made a name for itself as a modern business with certifications in the medical, clinical and management fields.
The Institute of Biochemistry together with the Core Facility High-Throughput Mass Spectrometry is looking for an open-minded, motivated researcher (post-doc) with a strong background in bioinformatics/computational biology or a related field. We are developing methods for high throughput proteomics and apply them to basic science, clinical, as well as epidemiological studies. This position is highly attractive for a scientist, who aims to improve his skills and advance proteomic data analysis, as well as to apply advanced statistical learning methods on biomedical data, to predict disease risk, as well as the action of drugs.
Your area of responsibility
In the past, clinical proteomics was limited by sample throughput and precision in data acquisition. Recently, we have developed methods that allow precise proteome measurements to be performed at high throughput (thousands of samples). Our approach challenges current workflows including sample preparation, analytical instrumentation and data analysis. New solutions in automation, performance control, data analysis, visualization and interpretation are required to keep pace and to allow non-expert users access to the technology. The quality and size of these datasets enable new approaches for data-driven biology, such as the prediction of unknown gene function, drug action, or disease predisposition. The candidate is expected to contribute to further develop these core technologies, as well as to work on biological as well as medical research questions.
The facility is working closely with Prof. Dr. Markus Ralser. His laboratory is renowned for its studies on how the cellular metabolism, the network of biochemical reactions in the cell, is regulated, how it evolved, and how it maintains functional integrity in the ever changing environment the cell is exposed to. His research addresses fundamental problems in the life sciences, where knowledge of cellular metabolic systems is required to develop new therapeutics and to understand the molecular basis of disease.
We are open to topics, proposed by the candidate, but favour projects that generate synergies with the Departmental facilities directions and aims. Collaborations with experimental groups at the Charité and the bioinformatics core facility of the Berlin Institute of Health are strongly encouraged.
PhD or research doctorate (bioinformatics, computational biology, alternatively mathematics, statistics, physics background, or life sciences background with documented skills in mentioned fields)
Experience in the handling of large datasets, either through respective programming skills (i.e. R, Python, C, Matlab, etc.), and/or, documented handling of multivariate data analysis and foundations in machine learning
Productivity documented in published research articles or patents
Experience in processing omics data, generated by mass spectrometry (proteomics, metabolomics, ionomics, or similar), or other techniques
Documented contribution to collaborations and participation in multi-disciplinary teams
Concepts for data visualisation and interpretation, especially for non-experts
Hands-on experience in analytical instrumentation
How to apply:
Please send your application quoting the reference number to
Employees are grouped into pay scales according to their qualifications and personal requirements. You can find our collective bargaining agreements (Tarifverträge) here: https://www.charite.de/en/careers/
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