Postdoc: Lead Single-Cell & Spatial Genomics Bioinformatics

University of Pennsylvania Perelman School of Medicine; Harrisburg (Dauphin County); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Mentorship

Core facilities access

Job summary

University of Pennsylvania Perelman School of Medicine seeks a postdoctoral researcher to advance bioinformatics in a lab focusing on diabetes, inflammation, and tissue repair. The role combines scRNA-seq and 10x Xenium spatial studies with leadership of an image-analysis project in vivo.

The fellow will own analytic strategies, develop workflows, and contribute to manuscript preparation, grant development, and collaborative studies with Penn core facilities and colleagues.

Qualifications

• PhD or equivalent in a relevant field.
• Hands-on bioinformatic analysis of scRNA-seq or spatial transcriptomic data.
• Strong skills in R and modern single-cell analysis workflows.
• Ability to interpret results in a biological/disease context.
• Ability to work independently and collaborate across disciplines.
• Clear scientific writing and communication skills.

Responsibilities

• Lead bioinformatic studies using scRNA-seq and Xenium spatial datasets.
• Lead quantitative image-analysis study of in vivo specimens.
• Develop clear, reproducible computational workflows.
• Perform QC, data integration, cell annotation, and differential expression analyses.
• Conduct pathway, trajectory, and cell-cell communication analyses.
• Integrate multiomic and cross-species datasets; present results.

Skills

Bioinformatics

R programming

Independent work

Scientific writing

Education

PhD or equivalent

Tools

Seurat

10x Xenium

Bioconductor

Job description

University of Pennsylvania Perelman School of Medicine seeks a postdoctoral researcher to advance bioinformatics in a lab focusing on diabetes, inflammation, and tissue repair. The role combines scRNA-seq and 10x Xenium spatial studies with leadership of an image-analysis project in vivo.

The fellow will own analytic strategies, develop workflows, and contribute to manuscript preparation, grant development, and collaborative studies with Penn core facilities and colleagues.