Scientific programmer / software developer (bioinformatics)
ETH Zurich
Zürich, Switzerland  
vor 4 Tg.
source : Academic Media Group International AB

Scientific programmer / software developer (bioinformatics)

We are looking for a scientific programmer / software developer to join our at the Department of Biology.

The study of microbial communities and their genomic content (microbiomes) is a fast-growing research area. Ever-increasing amounts of data have become available to the scientific community over the past years.

The analysis of such data has led to many impactul insights about the critical importance of microbes on Earth. We have learned much about their genomic diversity and functional capacity, the role they play in the health of animals and plants, and the ecological services they provide in the natural environment, for example.

Such discoveries largely depend on extracting and integrating meaningful information from heterogeneous data sources, as well as rigorous statistical testing.

Project background

Are you interested in applying your algorithmic and programming skills to develop solutions that enable the analysis and interpretation of complex biological data?

The work in our reserach group revolves around ecological and evolutionary factors that determine the structure, function and diversity of microbial communities.

To this end, we develop and combine bioinformatic and experimental approaches to integrate quantitative omics data with contextual information to better understand and predict the role of environmental microorganisms and the underlying mechanisms of host- microbial homeostasis.

In the past years, we have established large collections of metagenomic and metatranscriptomic resources and developed methodology to analyze such data in various ways.

Examples include algorithms, tools and workflows i) to profile the taxonomic composition of microbial communities using metagenomic data or 16S rRNA sequences, ii) to integrate metagenomic and metatranscriptomic data, iii) to compare intra-specific populations at nucleotide level resolution, and iv) to localize genomic coordinates of inducible prophages in microbial genomes.

We are continuously improving these methods and develop new ones whenever the need arises.

The group is well-positioned due to its involvement in collaborative project at both the national and international level.

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