Postdoctoral Researcher in Bioinformatics for Clinical Genomics and Long-Read Sequencing ETH Zürich in Switzerland

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).

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