Lead Bioinformatician - Single-Cell Muscle & Vascular Omics

Immigration Policy Lab; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive salary

International team

Zusammenfassung

ETH Zurich's Laboratory of Exercise and Health invites applications for a Bioinformatician to lead single-cell and spatial transcriptomics analyses in vascular and skeletal muscle biology. The role collaborates with an international team of PhD students and postdocs and engages with wet-lab colleagues.

The successful candidate will design and execute scRNAseq analyses, integrate multi-omics data, develop reproducible pipelines, and contribute to manuscripts.

Qualifikationen

• PhD degree in bioinformatics or related quantitative field.
• Hands-on experience analyzing single-cell RNA sequencing data (Seurat/Scanpy) from raw data processing to downstream analyses.
• Excellent scripting in R and/or Python with Bioconductor knowledge.
• Experience with collaborative development environments (GitHub/GitLab) and version control.
• Working experience in high-performance computing environments.
• Interest in skeletal muscle physiology and vascular biology.
• Strong communication skills and ability to work independently with wet-lab colleagues.
• Advanced proficiency in English.

Aufgaben

• Design, execute, and interpret scRNAseq analyses of human and mouse skeletal muscle samples.
• Integrate scRNAseq with spatial transcriptomics, ATAC-seq, metabolomics, and imaging data.
• Cross-species integration to identify conserved signatures.
• Develop tools for cell–cell communication and metabolic modeling.
• Analyze datasets from in vivo cell interaction tracing models.
• Perform pseudobulk and differential expression analysis (e.g., edgeR).
• Build reproducible bioinformatics pipelines and support lab members.
• Design Shiny apps for data visualization and publication use.
• Contribute to manuscripts, data visualization, and project reporting.

Kenntnisse

PhD in bioinformatics

scRNAseq analysis

R/Python scripting

Git/GitLab collaboration

High-performance computing

Muscle physiology interest

Communication skills

English proficiency

Ausbildung

PhD in bioinformatics or related field

Tools

Seurat

Scanpy

Bioconductor

scverse packages

Jobbeschreibung

ETH Zurich's Laboratory of Exercise and Health invites applications for a Bioinformatician to lead single-cell and spatial transcriptomics analyses in vascular and skeletal muscle biology. The role collaborates with an international team of PhD students and postdocs and engages with wet-lab colleagues.

The successful candidate will design and execute scRNAseq analyses, integrate multi-omics data, develop reproducible pipelines, and contribute to manuscripts.