Lead Bioinformatician: Single-Cell Muscle & Vascular Omics

Eidgenössische Technische Hochschule Zürich; Zürich; Vor Ort; CHF 90.000 - 115.000; Vollzeit

Zusammenfassung

ETH Zurich’s Laboratory of Exercise and Health is seeking a Bioinformatician (postdoctoral level) to lead single-cell and spatial transcriptomics analyses in vascular and skeletal muscle biology. You will work with an international team of PhD students and postdocs and collaborate with Prof.

De Bock to design experiments and interpret results. You will design scalable pipelines, implement analyses across human and mouse samples, and advance methods for cell-cell communication and metabolism.

Qualifikationen

• PhD in bioinformatics, computational biology, computational genomics, or a related quantitative field.
• Hands-on experience analyzing single-cell RNA sequencing data from raw data processing through downstream analysis (Seurat/Scanpy).
• Experience with spatial transcriptomics is a strong plus.
• Excellent scripting and data analysis skills in R and/or Python; knowledge of Bioconductor/scverse packages.

Aufgaben

• Design, execute, and interpret scRNAseq analyses of human and mouse samples.
• Integrate scRNAseq with spatial transcriptomics, ATAC-seq, metabolomics, and imaging data.
• Perform cross-species human-mouse data integration to identify conserved signatures.
• Develop and apply tools for cell-cell communication and metabolic modeling.
• Build reproducible bioinformatics pipelines and support lab members.

Kenntnisse

Single-cell RNA-seq analysis

R scripting

Python scripting

Collaborative development

High-performance computing

Ausbildung

PhD in bioinformatics

Tools

Seurat

Scanpy

GitHub/GitLab

HPC environments

Jobbeschreibung

ETH Zurich’s Laboratory of Exercise and Health is seeking a Bioinformatician (postdoctoral level) to lead single-cell and spatial transcriptomics analyses in vascular and skeletal muscle biology. You will work with an international team of PhD students and postdocs and collaborate with Prof.

De Bock to design experiments and interpret results. You will design scalable pipelines, implement analyses across human and mouse samples, and advance methods for cell-cell communication and metabolism.