Bioinformatics Research Assistant in the Krauthammer lab
We are looking for a bioinformatics research assistant to expand our multi-national research team of bioinformaticians and computer scientists at the University of Zurich working on cutting-edge translational research problems. The candidate will be contributing to our on-going cancer genomics projects, with a focus on whole-genome data analysis. The tasks include variant calling and structural variant detection, for both short and long-read sequencing data. In addition, the candidate will work on various biological problems, including cancer monitoring using cfDNA analysis. More information about the position and on how to apply can be found here.
Postdoc Position in Machine Learning in Biomedicine
The Krauthammer lab is looking for motivated PostDoc candidates who are interested in applying their computational skills to medical as well as biological problems. One key goal is the building of predictive algorithms for guiding patient therapy across all disease stages. We offer an interdisciplinary research environment, the possibility to direct your own research and access to state-of-the-art computational resources infrastructure.
More information can be found here.
Postdoc Position with flexible starting date in the Polymenidou lab
Computational Master Student Projects in the Krauthammer lab
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.
Professorship for Machine Learning in Precision Medicine
Our department is searching for a new faculty member (can be on the level of assistant, associate or full professor) working in the field of machine learning and precision medicine. You can find more information here:
Master Student positions with flexible starting date in the Bodenmiller lab
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