PostDocs and PhD students in Bioinformatics, Computational Biology and Information Systems

To drive the newly funded research effort “Data integration, Analytics and Services in ProteomicsDB” (DIAS) jointly run between the chairs of Proteomics and Bioanalytics, Bioinformatics, Information Systems and the University Medical School, we are looking to fill five positions for PostDocs and PhD students in Bioinformatics, Computational Biology and Information Systems with a strong background or interest in bioinformatics, database design, data visualization, machine learning and their application in biomedical research. The successful candidates will be key members of a strong interdisciplinary team focused on the development and application of proteomic and genomic approaches to cellular signaling, chemical biology and biomarker discovery in the areas of cancer research and personalized medicine. Five research topics are available which focus on:

·         Service engineering in life science research

·         Data services for mass spectrometry-based proteomics

·         Integration and analytics of drug effect data

·         Integration and analytics of protein structure data

·         Support decision making in molecular tumor boards

You will collaborate with colleagues at the European Bioinformatics Institute (PRIDE, ChEMBL and Uniprot), Cellzome (a GSK company) and ThermoFisher Scientific. The project goals are: i) to provide FAIR access to research data, data analytics and data services in ProteomicsDB to the world-wide scientific community; ii) to demonstrate that the integrated analysis of heterogeneous data modalities leads to new models providing insight into complex biological relationships; iii) to demonstrate that molecular, drug and phenotypic data and data services in ProteomicsDB can be translated to aid clinical decision making.

Requirements: candidates should hold a degree in Bioinformatics, Informatics or a related discipline. Extensive theoretical knowledge of and practical skills in statistical analysis, relational database technology, programming and scripting 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 self-motivated and broadly interested individuals with high potential. Flexibility and the ability to work in a multidisciplinary environment on multiple scientific and infrastructure projects focused on innovative ideas are essential. Good communication and interpersonal skills and experience in presenting concepts and data in oral and written formats are also important.

Application: Applications should include a motivational statement (max. one g 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 Dr. Mathias Wilhelm (mathias.wilhelm[at]tum.de).