Bioinformatician : Analysis of Interactome and Protein Turnover Dynamics Regulating Antiviral Immunity

в Immunopathology of Virus Infections Laboratory, Technical University of Munich (посмотреть профиль)
Город Munich, Germany
Опубликовано 15.01.2019
Категория Биоинформатика
Тип вакансии PhD или аспирант
Постдок или научный сотрудник
Адрес Schneckenburger Str. 8 (Max-Weber-Platz)


The pathogenic activity of viruses is to a large extent based on their ability to modulate protein activities in infected cells. In the course of an European Research Council (ERC)-funded (5 years perspective) project (ProDAP) we want to study the influence of viruses on the host proteome.

We use state-of-the-art mass spectrometry (MS) and deep sequencing techniques to obtain large-scale data and study how a particular immune stimulus transforms the landscape of protein interactions. To analyze the data and pinpoint interesting patterns we have developed comprehensive bioinformatic pipelines combining the leading approaches for Bayesian statistical modeling, biological data processing and visualization (R, Julia, Stan, Plotly, Sun Grid Engine).

For the ProDAP project we will generate novel large-scale MS-based datasets dissecting the cellular response to virus infections. We plan to complement MS data with automated light-microscopy experiments that will link molecular-level changes to the changes of host phenotype.

Your ultimate mission will be to use the power of bioinformatics and bring our understanding of host-pathogen interactions to the next level. You are expected to further develop our bioinformatic framework and deliver the tools that will analyze this new data and explain how and why the infection modulates protein expression and protein-protein interactions.

The strength of our lab is the synergy between wet-lab work and data analysis. At each stage of the project you will be working in a close collaboration with wet-lab scientists: from the initial experiment design to the hypothesis validation. Your creativity and involvement will be the key to success.


  • university degree
  • strong coding skills (knowledge of R, Julia or Python is a plus)
  • solid knowledge of statistics
  • biological background and/or wet lab experience are a plus
  • fluent English
  • excellent communication skills and general interest in biology
  • motivation letter, CV and names of the two referees


  • vibrant and international research group
  • high-profile ERC-funded project
  • one of the most comfortable cities in the world
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