You will join a dynamic research environment at the Institute of Microbiology, supporting experimental and computational groups in microbiome research. You help drive collaborative projects, manage data, and maintain computational tools to enable cutting-edge discoveries.

• Support and contribute to research projects by applying and advising on bioinformatics, biostatistics, and modelling approaches
• Analyze, integrate, and visualize multi-omics data, such as genomics, metagenomics, metatranscriptomics, proteomics, metabolomics, and imaging data
• Collaborate with researchers on study design, data interpretation, and developing reproducible computational workflows
• Manage research data, including organization, storage, documentation, and submission to repositories
• Help maintain and develop shared computational and IT infrastructure with IT staff and senior bioinformatician
• Support training for institute members in bioinformatics and computational biology through consultations and training sessions; experienced candidates may take a leading role
• Contribute to the development and maintenance of bioinformatics tools, pipelines, and methods for biological data analysis; experienced candidates can initiate and lead method development projects

• Degree in Bioinformatics, Computational Biology, Computer Science, or a related field (MSc, PhD, or relevant experience)
• Experience in bioinformatics and/or computational biology, especially in analyzing biological data
• Strong organizational skills and ability to manage multiple tasks and priorities
• Ability to work independently and in interdisciplinary teams
• Programming skills in Python, R, Bash, or similar languages
• Experience with omics data analysis (genomics, metagenomics, metatranscriptomics); experience with other data types is a plus
• Familiarity with Linux-based computing; experience with high-performance computing is an advantage
• Knowledge of reproducible research practices, workflow management, and version control (e.g. Git)
• Depending on experience: skills in data management, public repository submission, maintaining bioinformatics pipelines or infrastructure, training or mentoring, and developing bioinformatics tools or workflows

• Stimulating research environment at a leading university in science and technology
• Integration into an internationally recognized, interdisciplinary research network
• Collaborative and inclusive workplace with colleagues from diverse backgrounds
• Access to state-of-the-art computational infrastructure and resources
• Opportunities for professional development, skills training, and career advancement
• Support for attending scientific meetings, workshops, and training activities
• Competitive salary and benefits in line with ETH Zurich regulations
• Flexible working schedule to suit personal needs
• Culture of collaboration, diversity, and inclusivity where everyone is valued and supported