Gunnar Rätsch

The Clinical Genomics team at the Biomedical Informatics Lab (BMI Lab), ETH Zürich, led by Dr. André Kahles and headed by Prof. Gunnar Rätsch, invites applications for a postdoctoral researcher in bioinformatics. This interdisciplinary group is part of the RADIANT-Dx consortium, focusing on the development of innovative diagnostic technologies using long-read sequencing and real-time sequence analysis to address urgent clinical challenges in infectious disease diagnostics. The project aims to create a portable diagnostic platform capable of rapid transcriptomic profiling of host responses and pathogens directly from blood samples. This approach seeks to overcome the limitations of current diagnostic methods, which can take 24–72 hours, by delivering clinically actionable results within hours. The research integrates experimental and computational expertise, with a strong emphasis on developing robust, scalable algorithms and statistical models for real-time analysis of long-read sequencing data. The successful candidate will develop and implement novel computational methods for both pre- and post-base-calling analysis, design algorithms for transcriptomic data, and collaborate closely with bioinformaticians, microbiologists, clinicians, and engineers across ETH Zurich, the University of Zurich, and the University Hospital Zurich. Responsibilities include leading computational research projects, publishing in top scientific journals, and advancing methods in microbial genomics and applied computational biology. Applicants should have a PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Applied Mathematics, or a related quantitative field, with demonstrated expertise in algorithms, data structures, and statistical modeling. Experience in sequence analysis, microbial genomics, and long-read sequencing is highly desirable, and familiarity with signal processing or applied machine learning is a plus. A strong publication record and motivation for interdisciplinary research with clinical impact are expected. ETH Zürich offers a dynamic and inclusive environment, with benefits such as public transport season tickets, car sharing, sports facilities, childcare, and attractive pension plans. The university values diversity, sustainability, and equal opportunity, fostering a supportive atmosphere for professional and personal growth. To apply, submit your application online via the ETH Zurich portal, including a research proposal (2-3 pages), CV, cover letter or personal statement, and the names of three referees. Applications via email or postal services will not be considered. For further information, contact Dr. André Kahles at [email protected] (no applications). ETH Zürich is a world-leading institution in science and technology, renowned for its research excellence and commitment to societal impact. Join a vibrant international community dedicated to developing solutions for global challenges.

The Clinical Genomics team at the Biomedical Informatics Lab (BMI Lab), ETH Zürich, led by Dr. André Kahles and headed by Prof. Gunnar Rätsch, is recruiting a postdoctoral researcher in bioinformatics. This interdisciplinary group is part of the RADIANT-Dx consortium, developing innovative diagnostic technologies based on long-read sequencing and real-time sequence analysis. The project aims to address the urgent need for rapid and accurate identification of bacterial infections in clinical settings, particularly for conditions such as sepsis where timely diagnosis is critical. The successful candidate will contribute to the development and implementation of novel computational methods for analyzing long-read sequencing data, including pre- and post-base-calling analysis. Responsibilities include designing robust algorithms and statistical models for real-time transcriptomic analysis of host and pathogen data, integrating bioinformatics approaches into a translational research project, and collaborating with bioinformaticians, microbiologists, clinicians, and engineers across ETH Zurich, the University of Zurich, and the University Hospital Zurich. The role also involves leading computational research projects, publishing in top scientific journals, and advancing methods in microbial genomics, sequencing analysis, and applied computational biology. Applicants should have a PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Applied Mathematics, or a related quantitative field, with a strong foundation in algorithms, data structures, and statistical modeling. Experience in sequence analysis, microbial genomics, and long-read sequencing is highly desirable, and familiarity with signal processing or machine learning is advantageous. Candidates should be motivated to develop innovative computational methods and contribute to interdisciplinary research with clinical impact, ideally supported by a strong publication record. ETH Zürich offers a dynamic research environment, professional development opportunities, and numerous benefits including public transport season tickets, car sharing, sports facilities, childcare, and attractive pension plans. The university values diversity, sustainability, and equality of opportunity, fostering an inclusive culture and climate-neutral future. For more information about the BMI Lab, visit their website. Questions about the position can be directed to Dr. André Kahles at [email protected] (no applications). To apply, submit your application online via the ETH Zurich portal, including a research proposal (2-3 pages), CV, cover letter/personal statement, and names of three referees. Applications via email or postal services will not be considered. ETH Zürich is a world-leading university specializing in science and technology, renowned for excellent education, cutting-edge research, and global impact. Located in Zurich, Switzerland, it provides an inspiring environment for over 30,000 people from more than 120 countries.