We are seeking a bioinformatician/computational biologist with experience in data modelling and analysis to support interdisciplinary and collaborative projects within a newly established National Centre of Competence in Research in the area of microbiome research (NCCR Microbiomes).
The NCCR Microbiomes encompasses an interdisciplinary research network that aims to identify and control the principles that govern microbiomes across various biological systems. Various project members across Switzerland seek, for example, to design and/or specifically modify microbiomes, to eliminate pathogens in humans, animals and plants, and to use microorganisms for an improved functionality of existing systems.
More detailed information about the NCCR Microbiomes can be found here:
The successful candidate leads and/or supports the modelling and analysis of primarily genomic and multi-omics data that are generated by several project partners of the NCCR Microbiomes. The project partners study natural and synthetic microbial communities by applying state-of-the-art molecular and imaging technologies, such as: microbial genome sequencing, multi-omics (i.e., community genomics, transcriptomics, proteomics, metabolomics), microfluidics and (single-cell) imaging. The successful candidate is proficient in the use of bioinformatics/computational tools for modelling, analyzing and interpreting the various types of data.
The position is located at the Institute of Microbiology at ETH Zurich (www.micro.biol.ethz.ch) and embedded in the Laboratory of Microbiome Research (www.micro.biol.ethz.ch/research/sunagawa), providing an environment of complementary expertise and infrastructure for high-performance computational analysis. A focal area will be projects driven by research groups at ETH Zurich, although coordination across projects is required. Therefore, strong organisational, teamwork and communication skills are essential.
- Postgraduate degree in bioinformatics, biostatistics, computer science, computational biology or a related field
- Experience in the modelling and analysis of genomic and multi-omics (meta-genomics, meta-transcriptomics, meta-proteomics, meta-metabolomics) data
- Excellent skills in biological/statistical data analysis
- Excellent communication, teamwork and organizational skills
- Proficient programming skills (e.g., Python/Perl, R, UNIX/bash scripting)
The following additional qualifications may be advantageous:
- Background in microbial population / comparative genomics, microbial ecology
- Experience in image data analysis
We look forward to receiving your online application with the following documents:
- A cover/motivation letter (one page) that demonstrates your suitability for the offered position
- A curriculum vitae including a list of publications and academic records
- Names and contact information of two references
Please note that we exclusively accept applications submitted through our online portal: https://emea2.softfactors.com/job-opening/rgum-AVg4PMTyrYb7aYCmQi#/?lang=en
Applications via email or postal services will not be considered. The application review will begin on 1. April 2020, and continue until the position is filled (and this advertisement is online). Questions regarding the position should be directed to Prof. Dr. Shinichi Sunagawa at email@example.com (no applications).