Experienced Postdoctoral Researcher in Computational Functional Genomics | Experienced Postdoc Researcher in Development and application of computational methods for functional genomics
ETH Zürich
Job Summary
Join the Laboratory for Biological Engineering at ETH Zurich in Basel to develop and apply innovative computational methods for cutting-edge functional genomics datasets. This role is crucial for advancing genome engineering technologies, focusing on in vivo single-cell CRISPR perturbation screens (Perturb-seq) and transcriptional recording (Record-seq). The Postdoc Associate will be responsible for building, maintaining, and documenting scalable, reproducible analysis pipelines using Python/R and workflow managers like Snakemake/Nextflow. You will develop and apply sophisticated statistical methods and machine learning models (PyTorch/JAX on HPC) for demultiplexing, cell-type annotation, and perturbation prediction, as well as integrating complex multi-omics data (metagenomics, transcriptomics). The ideal candidate holds a PhD in Bioinformatics or a related field and possesses substantial postdoctoral experience in handling large-scale biological datasets. This is a highly collaborative position within an international, interdisciplinary environment, requiring mastery of English, offering the chance to co-author high-impact biological and technological publications.
Required Skills
Education
PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics, or a related field.
Experience
- Substantial postdoctoral or equivalent experience developing and applying computational methods to large-scale biological datasets.
- Extensive prior experience in strong Python and R skills, solid software engineering practices, and a track record of building scalable, reproducible pipelines for large-scale in vivo perturbation and multi-omics datasets.
- Demonstrated experience analyzing deep sequencing and single-cell data, including large-scale in vivo Perturb-seq or related CRISPR-based perturbation screens.
- Extensive prior experience developing pipelines and analytic workflows for novel molecular technologies (such as transcriptional recording).
Languages
Additional
- Ability to communicate effectively in a highly interdisciplinary and international environment. Must be able to use and maintain lab resources on High-Performance Computing (HPC) and Github.
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