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Zurich

10 hours ago

Intern - Athlete Strategy

  • 15 May 2026
  • 100%
  • Zurich

Job summary

Join ETH Zurich's Clinical Genomics team in Zurich as a Postdoctoral Researcher. This role offers a chance to innovate in diagnostic technologies.

Tasks

  • Develop computational methods for long-read sequencing data analysis.
  • Design algorithms for real-time analysis of transcriptomic data.
  • Collaborate with a diverse team across various institutions.

Skills

  • PhD in Computational Biology, Bioinformatics, or related fields required.
  • Strong background in algorithms and data structures needed.
  • Experience in microbial genomics and long-read sequencing preferred.

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About the job

Postdoctoral Researcher - Bioinformatics100%, Zurich, fixed-termThe Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic technologies based on long-read sequencing and real-time sequence analysis.Project backgroundRapid and accurate identification of bacterial infections remains a major challenge in clinical practice, particularly in emergency settings where delayed diagnosis can lead to suboptimal or delayed treatment and increased mortality in conditions such as sepsis. Current diagnostic methods often require 24–72 hours, which can contribute to the empirical use of broad-spectrum antibiotics and the emergence of antimicrobial resistance. Within the RADIANT-Dx consortium, our interdisciplinary team is developing a portable diagnostic platform based on long-read sequencing to enable rapid transcriptomic profiling of host responses and pathogens directly from blood samples. The project integrates experimental and computational expertise to enable real-time sequence analysis and deliver clinically actionable results within hours.Job descriptionYou will develop and implement novel computational methods for the analysis of long-read sequencing data, including both pre– and post–base-calling analysis, to support the development of a next-generation diagnostic platformYou will design algorithms and statistical models for real-time sequence analysis of host and pathogen transcriptomic data, with a focus on robust and scalable approaches for clinical applicationsYou will work closely with an interdisciplinary team of bioinformaticians, microbiologists, clinicians, and engineers across ETH Zurich, the University of Zurich, and the University Hospital ZurichYou will contribute to the integration of bioinformatics methods into a translational research project aimed at enabling rapid and clinically actionable infectious disease diagnosticsYou will lead computational research projects, publish results in leading scientific journals, and contribute to advancing methods in microbial genomics, long-read sequencing analysis, and applied computational biologyProfileYou should have a PhD degree in:Computational Biology / BioinformaticsComputer ScienceStatistics / Applied Mathematicsor a related quantitative fieldwith a strong background in algorithms, data structures, and statistical modeling.Experience in sequence analysis, microbial genomics, and long-read sequencing data analysis is highly desirable. Familiarity with signal processing or applied machine learning is advantageous. You should demonstrate strong motivation to develop innovative computational methods and to contribute to interdisciplinary research with potential clinical impact, ideally supported by a solid publication record.WorkplaceWorkplaceWe offerYour job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits We value diversity and sustainabilityCurious? So are we.We look forward to receiving your online application including the following documents:Research proposal (ca. 2-3 pages) CV Cover letter/personal statement including the names of three referees Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.About ETH ZürichCurious? So are we.We look forward to receiving your online application including the following documents:Research proposal (ca. 2-3 pages) CV Cover letter/personal statement including the names of three referees Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered

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