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spin-offs. The lab belongs to the Department of Mechanical and Process Engineering (D-MAVT) and sits in the CLA building at Tannenstrasse 3, on the Zentrum campus next to the ETH main building. About 25
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support to the team Building and maintaining reproducible data-processing pipelines (e.g., Snakemake or Nextflow, containers, version control) Data harmonization: standardizing clinical metadata across
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is responsible for the design, implementation, operation and continuous improvement of the technical infrastructure supporting the Genome of Switzerland programme. The position ensures the efficient
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to organ-level repair processes. The project has a strong translational angle, motivated by clinical challenges in abdominal surgery such as adhesion formation, and is conducted in close collaboration with
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. Document data workflows, standards and project procedures. Collaborate with software engineers and researchers to improve data management processes. Profile Required qualifications MSc Bioinformatics
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infrastructure and expert services for data- and compute-intensive research, including high-performance computing, scientific data processing and storage, secure research data environments, consulting, and
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concepts such as data parallelism, tensor parallelism, pipeline parallelism, checkpointing, and GPU communication. Experience with frameworks such as veRL, slime, Megatron-LM, DeepSpeed, TRL, vLLM, SGLang
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programmes will run in parallel: (1) reconstructing the regulatory architecture of E. coli at high resolution as a foundation for predictive models of gene regulation; (2) building large-scale single-cell
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, you will expand this research to uncover biomarkers of aging, a process driven by DNA damage. You will use DNA sequencing and related methods to characterize cellular responses to stress and following
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, networking, storage performance, checkpointing, and scheduling Support the Apertus serving stack, which builds on the same images (operation of the serving stack is owned by a separate engineer) Profile