Lead Single-Cell Omics Bioinformatician for Muscle & Vascular

ETH Zürich

Schwerzenbach

Vor Ort

CHF 110.000 - 140.000

Vollzeit

Vor 5 Tagen

Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Research funding support

Computational resources

International collaboration

Competitive salary

Zusammenfassung

ETH Zürich's Laboratory of Exercise and Health invites a fixed-term postdoctoral bioinformatician to lead single-cell and spatial transcriptomics analyses within the lab of Exercise and Health.

You will design and run scRNAseq analyses on human and mouse skeletal muscle samples, integrate datasets with spatial data and other omics, and develop reproducible computational pipelines in collaboration with PhD students and postdocs.

Qualifikationen

Hands-on experience with single-cell RNA-seq pipelines from raw data to downstream analysis.
Experience with spatial transcriptomics is a strong plus.
Proficiency in R and/or Python with Bioconductor packages.

Aufgaben

Lead scRNAseq analyses for human and mouse skeletal muscle samples.
Integrate scRNAseq with spatial and other omics data.
Perform cross-species data integration to identify conserved signatures.
Develop pipelines and support lab members.
Design Shiny apps for data visualization.
Contribute to manuscript preparation and data visualization.

Kenntnisse

scRNA-seq analysis

Spatial transcriptomics

R programming

Python programming

Bioconductor tools

Git / GitHub

HPC experience

English proficiency

Collaboration

Ausbildung

PhD in bioinformatics

Computational biology

Tools

Seurat

Scanpy

edgeR

COMPASS

scFEA

GitHub

Jupyter / RMarkdown

Jobbeschreibung