Charité - University Medicine Berlin

Postdoctoral Position - Computational Proteomics, Bioinformatics

Charité - University Medicine Berlin

Berlin, Germany

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.

Postdoctoral Position – Computational Proteomics, Bioinformatics
CC02, Institute of Biochemistry & Core Facility, High-Throughput Mass Spectrometry
Charité Campus Mitte

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.

Your profile
Essential

  • 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

Beneficial

  • 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

Plus

  • Hands-on experience in analytical instrumentation

Ref. no.: CC04-BIH-53.19

Start: 01.01.2020

Length of employment: 3 years

Working time: 39 (hrs./week)

Pay scale: E13 Acc. to collective agreement TVöD VKA – K

Employees are grouped into pay scales according to their qualifications and personal requirements. You can find our collective bargaining agreements (Tarifverträge) here:
www.charite.de/en/careers/

For further information, please contact:
Dr. Michael Mülleder
michael.muelleder@charite.de

Please send your application, quoting the above reference number, by email to michael.muelleder@charite.de

DIE CHARITÉ – UNIVERSITÄTSMEDIZIN BERLIN
makes its human resources decisions based on suitability, competence and professional performance. At the same time, it strives to increase the percentage of women in management positions and takes this into consideration where candidates are equally qualified within the limits of what is legally possible. Applications from people with a migrant background are also explicitly welcome. Severely disabled applicants are given preferential consideration in the case of candidates with equal qualifications. An extended certificate of conduct must be submitted. Any travel expenses incurred cannot be reimbursed.

DATA PROTECTION NOTICE: Charité points out that personal data is stored and processed as part of the application process in different areas of Charité (e.g. faculty, staff committee, human resources department). Furthermore, the data may be transferred or processed within the group as well as in locations outside the group (e.g. authorities) to protect legitimate interests. By applying, you agree to our data protection regulations and terms of use, which you can find here: https://www.charite.de/en/service/data_protection/data_protection_during_the_recruitment_process/

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Position

Postdoctoral Position - Computational Proteomics, Bioinformatics