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We are seeking a highly motivated, skilled and organized bioinformatician to join our 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, 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:
• MSc or PhD degree in Bioinformatics, Computer Science, or a related field
• development of bioinformatic analysis workflows
• strong expertise in Python/R programming
• work experience in Linux environment
• familiarity with HPC systems
• strong communication and teamwork skills
The following additional qualifications will be advantageous: 
• experience in (meta)genomic data analysis
• background in (environmental/host-associated) genomics
• background in (environmental/host-associated) ecology, evolution
• experience in web/database development (HTML, SQL)
Applications and informal inquiries should be directed by email to Prof. Dr. Shinichi Sunagawa (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!).
Prof. Dr. Shinichi Sunagawa
ETH Zürich
Institute of Microbiology, Department of Biology
Vladimir-Prelog-Weg 4; HCI F 423
8093 Zürich, Switzerland
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!
Phone: +41 (0) 44 633 61 55 



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