Randall J Platt

The Laboratory for Biological Engineering at ETH Zürich, led by Professor Randall J Platt, is offering a postdoctoral position focused on the development and application of computational methods for functional genomics. The successful candidate will join a dynamic research environment in Basel, Switzerland, and contribute to cutting-edge research at the intersection of computational biology, bioinformatics, and systems biology. The position involves designing and implementing novel algorithms and computational tools to analyze genomic data, with the goal of advancing our understanding of gene function and regulation. The laboratory is renowned for its interdisciplinary approach, combining expertise in biological engineering and computational sciences. ETH Zürich is one of Europe's leading universities, providing access to state-of-the-art facilities and a collaborative scientific community. While specific funding details and application requirements are not provided in the current description, candidates with a strong background in computational biology, bioinformatics, or related fields are likely to be well-suited for this role. Interested applicants are encouraged to seek further information directly from the Laboratory for Biological Engineering or ETH Zürich's official channels.

The Laboratory for Biological Engineering, led by Professor Randall J Platt at ETH Zürich, is seeking a full-time Postdoctoral Associate to develop and apply computational methods for novel experimental functional genomics datasets. The lab specializes in genome engineering technologies and their application to fundamental and disease-focused research. The postdoctoral researcher will contribute to two main areas: in vivo single-cell CRISPR perturbation screens and transcriptome recording/cellular history reconstruction. The first area involves expanding AAV-based methods for direct in vivo single-cell CRISPR screening, generating cell-type perturbation atlases, interrogating disease mechanisms, and identifying therapeutic targets. The second area focuses on advancing CRISPR-based transcriptional recording methods to encode and read out transient cellular events, with computational challenges in signal detection and tool development for complex in vivo environments, including drug-host microbiome interactions. The successful candidate will join a multidisciplinary team, collaborating closely with experimental and computational lab members. Responsibilities include developing analysis methods, advising on experimental design, building reproducible analysis pipelines (Python/R; Snakemake/Nextflow), applying methods for data demultiplexing, normalization, effect-size estimation, biological inference, and predictive modeling. Additional duties include contributing to manuscripts, presenting results, mentoring students, and maintaining lab resources on HPC and Github. The position is based in the Department of Biosystems Science and Engineering (D-BSSE) in Basel, a hub for systems and synthetic biology, bioinformatics, and engineering sciences, with strong links to leading academic institutions and biotech/pharma companies. ETH Zürich is a globally renowned university, and Basel offers a vibrant international environment. Applicants must have a PhD or equivalent in a relevant field, strong programming and statistical skills, and experience with deep sequencing/single-cell data. Prior experience with CRISPR screen analysis, metagenomics, machine learning for genomics, multi-omics integration, and genome-scale metabolic modeling is highly desirable. Applications must be submitted online as a single PDF including a cover letter, CV, diplomas/transcripts, and contact details of three referees by 10 October 2025.