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Description:
We are seeking a highly motivated, skilled and organized bioinformatician/computational biologist to join our recently founded research group. We are interested in studying ecological and evolutionary factors that determine the structure, function and diversity of microbial communities – with a focus on the ocean ecosystem and the gastrointestinal tract of animals and humans.
Embedded in the Institute of Microbiology at the Department of Biology, we develop and combine computational and experimental approaches to integrate quantitative ‘meta-omics’ readouts with contextual information, with the goal to better understand and predict the role of environmental microorganisms and the underlying mechanisms of host-microbial homeostasis
The postholder is able to develop, implement and maintain state-of-the-art methodology and infrastructure for microbiome data analysis (databases for original and derived data, workflows/pipelines for omics-data, statistical analysis, etc.) and analyze meta-omics data from environmental and host-associated microbiome studies. Her/his motivation is to provide cutting-edge support for ongoing research projects in the group and to showcase the potential of her/his developments in the context of a research project in the area of microbiome research.
Essential qualifications include:
- postgraduate degree in computational biology or related field
- advanced programming skills (e.g., C/C++, Python/Perl, R, Unix/Bash)
- experience in (meta)genomic (NGS) data analysis
- strong communication and teamwork skills
The following additional qualifications will be advantageous:
- background in biostatistics and machine learning
- experience in software development
- experience in developing/using software pipelines (in an HPC environment)
- experience in meta-omics (including NGS) data analysis
- background in (environmental/host-associated) population genetics / genomics
- background in (environmental/host-associated) ecology, evolution
- basic knowledge of HTML and web service development
Comments:
Applications and informal inquiries should be directed by email to Prof. Dr. Shinichi Sunagawa ([email protected]). More information about Prof. Sunagawa’s research experience and interests can be found at http://www.sunagawa.de and http://www.micro.biol.ethz.ch/research/sunagawa.html.
Time frame:
Position remains open until filled.
Description:
We are seeking a highly motivated, skilled and organized bioinformatician/computational biologist to join our recently founded research group. We are interested in studying ecological and evolutionary factors that determine the structure, function and diversity of microbial communities – with a focus on the ocean ecosystem and the gastrointestinal tract of animals and humans.
Embedded in the Institute of Microbiology at the Department of Biology, we develop and combine computational and experimental approaches to integrate quantitative ‘meta-omics’ readouts with contextual information, with the goal to better understand and predict the role of environmental microorganisms and the underlying mechanisms of host-microbial homeostasis
The postholder is able to develop, implement and maintain state-of-the-art methodology and infrastructure for microbiome data analysis (databases for original and derived data, workflows/pipelines for omics-data, statistical analysis, etc.) and analyze meta-omics data from environmental and host-associated microbiome studies. Her/his motivation is to provide cutting-edge support for ongoing research projects in the group and to showcase the potential of her/his developments in the context of a research project in the area of microbiome research.
Essential qualifications include:
- postgraduate degree in computational biology or related field
- advanced programming skills (e.g., C/C++, Python/Perl, R, Unix/Bash)
- experience in (meta)genomic (NGS) data analysis
- strong communication and teamwork skills
The following additional qualifications will be advantageous:
- background in biostatistics and machine learning
- experience in software development
- experience in developing/using software pipelines (in an HPC environment)
- experience in meta-omics (including NGS) data analysis
- background in (environmental/host-associated) population genetics / genomics
- background in (environmental/host-associated) ecology, evolution
- basic knowledge of HTML and web service development
Comments:
Applications and informal inquiries should be directed by email to Prof. Dr. Shinichi Sunagawa ([email protected]). More information about Prof. Sunagawa’s research experience and interests can be found at http://www.sunagawa.de and http://www.micro.biol.ethz.ch/research/sunagawa.html.
Time frame:
Position remains open until filled.
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