The Chair of Proteomics and Bioanalytics at the Technical University of Munich in Freising Weihenstephan invites applications for a

Data Scientist (multi-omics)

with a strong background or interest in bioinformatics, data visualization, big data analytics, machine learning and their application in biomedical research. The successful candidate will become a key member of a strong interdisciplinary team of scientists and technical staff focused on the development and application of proteomic approaches to cellular signaling, chemical biology and biomarker discovery in the areas of cancer research and personalized medicine. In particular, this position will strengthen our ongoing collaborations with the TUM University hospital in Munich that aim to improve the lives of cancer patients by integrating molecular profiling information at the level of the genome, transcriptome, proteome, phospho-proteome and phenotypic drug sensitivity into therapeutic decision making. In light of this background, the most important aspects of the job description are:

• Data analysis and interpretation of clinical and chemical proteomic projects
• Integration and analysis of multi-omics data
• Integration and analysis of phenotypic drug effect data
• Service engineering and infrastructure support for life science data

Requirements: Candidates should hold a MSc or PhD degree in Bioinformatics, Biostatistics or a related discipline. Extensive theoretical knowledge of and practical skills in statistical analysis, data mining, data integration, machine learning, programming and database design are essential. Additional desirable skills include a sound understanding of proteomic and genomic technologies and data as well as basic biological and (bio) chemical concepts. We are looking for a self-motivated and broadly interested individual with high potential and a strong sense of responsibility. Flexibility and the ability to work in a fast-paced environment on multiple scientific and infrastructure projects are essential. Good inter-cultural and interpersonal communication skills as well as presenting complex data to scientists and clinicians in English are also important.

Our offer: You will join an interdisciplinary team of biochemists, biotechnologists, cell biologists, bioinformaticians, chemists and clinicians that uses the latest proteomic approaches and equipment to help fighting cancer. The Technical University is one of the best academic institutions in Germany and offers a stimulating work environment and excellent future perspectives. The position is initially available for three years and the salary follows the TVL/E13 scale.

Application: Applications should include a motivational statement (max. one page), a curriculum vitae summarizing qualifications and experience, copies of degrees/university transcripts, names and email addresses of at least one referee. Applications should be sent as a single PDF to Prof. Dr. Bernhard Küster (kuster[at]tum.de).