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The Quantitative Biology Center (QBiC) is an interdisciplinary core facility of the University of Tübingen, the University Hospital Tübingen and the Max Planck Institute for Developmental Biology.
QBiC provides convenient access to state-of-the-art high-throughput technologies (next-generation sequencing for genomics and transcriptomics, mass spectrometry for metabolomics and proteomics).
Additionally, we offer coherent bioinformatic solutions for data processing, analysis and archiving. The QBiC is the central bioinformatics core facility and provides a full range of services from the consultation of experiments to the analysis of the resulting data.
Computational Biologist/Bioinformatician/Computer Scientist
The ideal candidate will have a MSc or PhD level degree in Computer Science, Bioinformatics or in Life Sciences with a strong focus on computational approaches and brings previous experience in one or more of three focus areas.
The candidate should be experienced in the design and realization of web-based Java applications and data management (focus area 1), in the data processing and statistical analysis of large-scale (NGS, Proteomics, Metabolomics or imaging) biological data (focus area 2) or bring significant experience in the management of scientific projects (focus area 3). Previous experience in the development of graphical user interfaces and databases or in the analysis multi-omics and/or imaging data is a plus. Furthermore, experience in high-performance computing, cloud computing and workflow systems will be beneficial.
We offer start-up spirit and interesting work in an interdisciplinary environment, as well as advanced training opportunities. Initially, the position will be funded for three years.
In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply. Furthermore, part-time employment is possible.
Please send your application (including motivation letter, statement of research interests (including the focus area that you are interested in), curriculum vitae and contact details of two referees) as one PDF via e-mail to Katrin Leichtle: email@example.com .