Postdoc: Single-Cell & Spatial Genomics Bioinformatics

Upenn; Philadelphia (Philadelphia County); On-site; USD 65,000 - 90,000; Full time

Job summary

The University of Pennsylvania, Penn Dental Medicine, invites applications for a postdoctoral position in the Graves laboratory. The fellow will study inflammatory processes and how they impact skin, mucosa, skeleton and periodontium in the context of diabetes, aging, or other pathologic conditions.

The role blends bioinformatics with quantitative image analysis using scRNA-seq and Xenium data. The successful candidate will lead analyses, develop reproducible workflows, and contribute to

Qualifications

• PhD, MD, DMD, DVM, or equivalent in a relevant field.
• Hands-on experience with 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 and disease context.
• Ability to work independently and collaborate across disciplines.

Responsibilities

• Lead bioinformatic studies using scRNA-seq and Xenium spatial datasets.
• Lead project for quantitative image analysis of in vivo specimens.
• Develop clear, reproducible computational workflows.
• Perform quality control, data integration, and differential expression analysis.
• Conduct pathway, trajectory, and ligand-receptor analyses.
• Integrate multiomic datasets and cross-cohort data.
• Create figures and communicate results to collaborators.
• Present results and prepare first-author manuscripts.
• Contribute to grant development and collaborative studies.

Skills

Bioinformatics leadership

scRNA-seq analysis

Spatial transcriptomics

R programming

Biostatistics

Scientific writing

Independent collaboration

Education

PhD or equivalent in a relevant field

Tools

Seurat

Multi-omics integration

Trajectory/pseudotime analysis

Job description

The University of Pennsylvania, Penn Dental Medicine, invites applications for a postdoctoral position in the Graves laboratory. The fellow will study inflammatory processes and how they impact skin, mucosa, skeleton and periodontium in the context of diabetes, aging, or other pathologic conditions.

The role blends bioinformatics with quantitative image analysis using scRNA-seq and Xenium data. The successful candidate will lead analyses, develop reproducible workflows, and contribute to