PhD student position in single-cell Bioinformatics in Munich

The newly established collaborative Center for Translational Cancer Reseqarch (TranslaTUM) at the Technical University of Munich is looking for a 

PhD student in single-cell Bioinformatics

Single-cell technologies have recently gained popularity in biology due to their ability to
resolve heterogeneity in cell populations. This has translational impact, e.g. in describing
heterogeneities of developmental diseases, cancer or immunology, in particular regarding T-cell
heterogeneity during infectious processes. Analyzing high-dimensional single-cell data has its own
statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets.

The project is raised by a collaboration between the Institute of Computational Biology at the
Helmholtz Zentrum Munich (Prof. Fabian Theis) and the TranslaTUM (Prof. Christina Zielinski).

Your responsibilities:
- implement, develop and extend methods for processing and analyzing single cell RNAseq
and protein profiles
- use methods for second level analyses e.g. interaction networks, enrichment analyses
- biological interpretation of data

Your qualification
- MSc degree in bioinformatics, computer science, mathematics, physics or equivalent
- background in Machine Learning and/or RNAseq analysis
- interest in biological applications
- passion for science and scientific work
- proficient in written and spoken English
- being comfortable in interacting with colleagues in an interdisciplinary setting

Our offer:
- Working in an innovative, well-equipped and scientifically stimulating environment
- Further training opportunities
- Initial employment contract for 3 years with a standard public service salary (TV EntgO
- a first class research environment in a new modern research center in the heart of Munich

Application documents (motivation letter, CV, certificates, two references) should be submitted
as soon as possible and no later than 31stJuly as a single PDF file to

Kontakt für Bewerbungen
Prof. Christina Zielinski
Bitte beziehen Sie sich bei Ihrer Bewerbung auf jobvector und geben Sie die folgende Referenznummer an: 1234

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