Postdoc Bioinformatician: Single-Cell Muscle & Vascular Omics

Master in Integrated Building Systems ETH Zürich; Zürich; Vor Ort; CHF 90.000 - 120.000; Teilzeit

Zusammenfassung

ETH Zurich’s Laboratory of Exercise and Health invites a postdoctoral-level bioinformatician to lead single-cell and spatial transcriptomics analyses in skeletal muscle research. You will integrate multi-omics data, perform cross-species analyses, and advance computational tools for cell communication and metabolism.

The role combines wet-lab collaboration with computational pipeline development, manuscript support, and data visualization within an international team.

Qualifikationen

• PhD in bioinformatics, computational biology, or related quantitative field.
• Hands-on experience analyzing single-cell RNA sequencing data from raw to downstream analysis; spatial transcriptomics a plus.
• Proficient in R and/or Python with Bioconductor/scverse packages.

Aufgaben

• Design, execute, and interpret scRNA-seq analyses of human and mouse skeletal muscle samples.
• Integrate scRNA-seq with spatial transcriptomics, ATAC, metabolomics and imaging data.
• Perform cross-species data integration and develop cell-cell communication tools.
• Build reproducible bioinformatics pipelines and support lab members.

Ausbildung

PhD in bioinformatics

Tools

Seurat

Scanpy

Bioconductor

scverse

Git

Jobbeschreibung

ETH Zurich’s Laboratory of Exercise and Health invites a postdoctoral-level bioinformatician to lead single-cell and spatial transcriptomics analyses in skeletal muscle research. You will integrate multi-omics data, perform cross-species analyses, and advance computational tools for cell communication and metabolism.

The role combines wet-lab collaboration with computational pipeline development, manuscript support, and data visualization within an international team.