Postdoc: Single-Cell & Spatial Genomics Bioinformatics

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

Job summary

University of Pennsylvania Perelman School of Medicine seeks a Postdoctoral Fellow in the Graves lab to lead bioinformatics analyses of scRNA-seq and Xenium spatial transcriptomics and to validate findings with immunofluorescence and image analysis.

The position offers cross-disciplinary training across computational biology and translational research, with opportunities to lead manuscript preparation and grant development. Start date is available after interviews; funding through 2031.

Qualifications

• A PhD, MD, DMD, DVM, or equivalent doctoral degree in a relevant field.
• Hands-on experience with bioinformatic analysis of scRNA-seq or spatial transcriptomic data, sufficient to lead the single-cell/Xenium bioinformatics component.
• Strong proficiency in R or Python and modern single-cell analysis workflows.
• Ability to interpret analytical results in biological and disease contexts.
• Ability to work independently and collaborate effectively across disciplines.
• Strong scientific writing and communication skills.
• Relevant fields include bioinformatics, computational biology, genomics, biostatistics, systems biology, molecular or cell biology, immunology, bioengineering, diabetes biology, skeletal biology, computer science, statistics, data science, or a related discipline.

Responsibilities

• Lead bioinformatic analyses of scRNA-seq and 10x Genomics Xenium spatial transcriptomic datasets.
• Serve as project leader for quantitative image analysis of in vivo specimens to characterize the spatial distribution, cellular localization, and tissue organization of adhesion molecules.
• Develop rigorous, reproducible computational workflows.
• Perform quality control, data integration, cell annotation, and differential expression analyses.
• Conduct pathway, trajectory, state-transition, and ligand-receptor analyses.
• Integrate multiomic, cross-species, and cross-cohort datasets.
• Integrate transcriptomic data with imaging, histologic, and phenotypic measurements.
• Generate clear figures and communicate findings to computational and experimental collaborators.
• Contribute to analytical strategy and biological interpretation.
• Present findings and prepare first-author manuscripts.
• Contribute to grant development and collaborative studies.

Skills

Bioinformatics

scRNA-seq analysis

Python

R

Single-cell analysis workflows

Scientific writing

Education

PhD/MD/DMD/DVM or equivalent

Tools

Seurat

R packages

Python

Job description

University of Pennsylvania Perelman School of Medicine seeks a Postdoctoral Fellow in the Graves lab to lead bioinformatics analyses of scRNA-seq and Xenium spatial transcriptomics and to validate findings with immunofluorescence and image analysis.

The position offers cross-disciplinary training across computational biology and translational research, with opportunities to lead manuscript preparation and grant development. Start date is available after interviews; funding through 2031.