Postdoc: Lead Single-Cell & Spatial Genomics Bioinformatics

The Chronicle Of Higher Education, Inc.; United (PA); On-site; USD 60,000 - 75,000; Full time

Job summary

The University of Pennsylvania invites applications for a Postdoctoral Fellow in Single-Cell and Spatial Bioinformatics and Quantitative Image Analysis in the Graves lab. The fellow will lead bioinformatic projects using scRNA-seq and Xenium spatial data and supervise an image-analysis study of adhesion molecules in tissue specimens.

Working with computational and experimental collaborators, the fellow will develop reproducible workflows, perform QC and differential analyses, and contribute to

Qualifications

• PhD, MD, DMD, DVM, or equivalent in a relevant field.
• Hands-on bioinformatics analysis of scRNA-seq or spatial transcriptomic data; leadership experience.
• Strong skills in R and modern single-cell 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 datasets.
• Lead quantitative image analysis of in vivo specimens for adhesion molecules.
• Develop clear, reproducible computational workflows.
• Perform QC, data integration, cell annotation, and differential expression analysis.
• Conduct pathway, trajectory, state-transition, and ligand-receptor analyses.
• Integrate multiomic, cross-species, and cross-cohort datasets.
• Integrate transcriptomic data with imaging and phenotypic measurements.
• Create figures and communicate results to collaborators.
• Help define analytical strategy and interpret biological findings.
• Present results and prepare first-author manuscripts.
• Contribute to grant development and collaborative studies.

Skills

Bioinformatics

R programming

Single-cell analysis

Data interpretation

Scientific writing

Education

PhD or equivalent doctoral degree

Tools

Seurat

Job description

The University of Pennsylvania invites applications for a Postdoctoral Fellow in Single-Cell and Spatial Bioinformatics and Quantitative Image Analysis in the Graves lab. The fellow will lead bioinformatic projects using scRNA-seq and Xenium spatial data and supervise an image-analysis study of adhesion molecules in tissue specimens.

Working with computational and experimental collaborators, the fellow will develop reproducible workflows, perform QC and differential analyses, and contribute to