08.01.2021

The Bodenmiller lab is recruiting a senior computational biologist or bioinformatician to support the analysis of high-dimensional and spatially resolved single-cell data. 

For more information, please see the full ad here
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20.11.2020
The Polymenidou lab is looking for a genomic data scientist to work closely with our experimental team to analyse and explore a large collection of high-throughput sequencing data. Experience in RNA-seq data analysis, including bulk transcriptomics, splicing analysis and single cell analysis is required. The ideal candidate will also have expertise in analyzing high-throughput sequencing datasets to determine the function of RNA-binding proteins, including CLIP-sequencing and related methodologies.

The successful candidate will be fully integrated in both the Polymenidou lab and the Robinson teams. The candidate will, therefore, combine work in neurodegeneration and RNA biology (Polymenidou) with statistical methods and data science tools (Robinson). 

For more information, please see the full ad here
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Flexible starting date

The Krauthammer lab is currently looking for Master’s students in the field of bioinformatics for the following topics:

• Analyzing the effects of DNA secondary structure on the mutational pattern in cancer.
  The student will analyze the relationship between mutational patterns detected in various cancer types and the locations of non-B-DNA secondary structures in the human genome. The student should have basic experience with Unix systems and some experience with at least one scripting language (e.g. Python, R or bash). Prior experience with genomics software (mappers, samtools or variant callers) is an advantage.

• Mapping structural variation in cancer.
  The student will use genome sequencing data in order to discover novel structural variants in various cancer types (melanoma, colorectal carcinoma, lung cancer, etc.). The clinical significance of the novel and already known structural variants will also be evaluated using genome annotations. The student should have basic experience with Unix systems and some experience with at least one scripting language (e.g. Python). Prior experience with genomics software (mappers, samtools or variant callers) is an advantage.

Applications can be done by sending a CV to this e-mail along with a short description of the student’s motivation to join our lab.

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Flexible starting date

The Bodenmiller lab is seeking to fill several Master Student positions, with flexible starting date. These projects are in the field of

• Quantitative biology I: Simultaneous analysis of up to 100 markers in tumors using a new technology, called imaging mass cytometry [Link]
• Quantitative biology II: Analysis of how tumor cells become metastatic
• Computational biology: Computational analysis of signaling networks

Please send your CV and a few sentences why you would like to join our lab to Bernd Bodenmiller

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