Job Details

Postdoctoral Fellow in Senescence, Aging and Inflammation

Position Number: 9839115
Location: Philadelphia, United States
Position Type: Medicine - Dentistry

Postdoctoral Fellow in Senescence, Aging and Inflammation

Location: University of Pennsylvania - Penn Dental Medicine
Open Date: Sep 18, 2026
Deadline:

The Opportunity

A postdoctoral position is available in the laboratory of Dr. Dana T. Graves at the University of Pennsylvania School of Dental Medicine, Department of Periodontics. The fellow will investigate mechanisms by which cellular senescence and inflammation intersect to alter age-associated pathogenesis. The position integrates experimental biology with single-cell RNA sequencing (scRNA-seq), 10x Genomics Xenium spatial transcriptomics, quantitative imaging, and molecular and cellular validation to define disease-associated cell states, inflammatory signaling networks, and potential therapeutic targets.

Research Focus

The research program will examine how senescent cell states and inflammatory signals influence pathology that enhances aging-linked pathology using a periodontal mouse model and human tissue validation. The fellow will participate in in vivo studies and analyses of scRNA-seq and 10x Genomics Xenium datasets to identify senescence-associated and inflammation-associated cell states, transcriptional programs, cell-cell communication networks, spatially organized cellular responses and mechanisms that lead to greater bone resorption. The analyses may include pathway analysis, trajectory and pseudotime analysis, regulatory-network inference, and ligand-receptor analysis. Experimental studies of aging and senescence will include genetically engineered mouse models, primary mouse and human cell cultures, molecular perturbation studies, histology, immunofluorescence, flow cytometry, quantitative image analysis, and other approaches used to validate computational findings and define mechanisms linking aging, senescence and inflammation with altered tissue function.

Key Responsibilities

* Investigate molecular and cellular mechanisms linking senescence and inflammation to tissue dysfunction, repair, and regeneration using in vivo mouse models.

* Lead or contribute substantially to bioinformatic analyses of scRNA-seq and 10x Genomics Xenium spatial transcriptomic datasets.

* Develop and execute rigorous experimental approaches using in vivo, ex vivo, and/or in vitro models as appropriate to the project.

* Perform quality control, data integration, cell annotation, differential expression, pathway, trajectory, state-transition, and ligand-receptor analyses.

* Integrate transcriptomic findings with imaging, histologic, cellular, and phenotypic measurements.

* Use immunofluorescence and quantitative image analysis to characterize cellular localization, spatial distribution, and tissue organization.

* Develop rigorous, reproducible experimental and computational workflows.

* Interpret findings in biological and disease contexts and contribute to analytical and experimental strategy.

* Generate clear figures, present findings, and communicate effectively with computational and experimental collaborators.

* Prepare first-author manuscripts and contribute to grant development and collaborative studies.

Computational and Experimental Environment

For single-cell and spatial genomics studies, the primary computational environment uses R, Seurat, and related tools, with other validated methods used when they improve analytical rigor or biological interpretation. Quantitative imaging and spatial-analysis tools will be selected based on the specimens, imaging modalities, and scientific questions. Candidates with strong experimental backgrounds will have opportunities to develop additional expertise in computational analysis, while candidates with strong computational backgrounds will have opportunities to gain experience with biological validation and experimental systems.

Research Environment and Career Development

The Graves laboratory integrates computational discovery with in vivo models, human specimens, histology, flow cytometry, immunofluorescence, primary cell culture, molecular perturbation studies, and quantitative analysis. The fellow will have substantial intellectual ownership of their project, including development of experimental directions, selection of analytical approaches, interpretation and presentation of findings, preparation of first-author manuscripts, and participation in grant writing. Development of independent fellowship applications is encouraged.

Dr. Graves will provide direct scientific mentoring and regular project guidance. The fellow will collaborate with investigators and shared-resource specialists across the University of Pennsylvania. Penn core facilities support single-cell and spatial genomics, biostatistics, imaging, histology, and quantitative analysis. The position is designed to support scientific independence, strong publications, grant development, and preparation for an academic or industry career.

Qualifications
* A PhD, MD, DMD, DVM, or equivalent doctoral degree in a relevant field.

* A strong background in cell biology, molecular biology, immunology, skeletal biology, bioengineering, genomics, computational biology, bioinformatics, systems biology, or a related discipline.

* Demonstrated scientific rigor and the ability to interpret experimental or computational findings in a biological context.

* Ability to work independently and collaborate effectively across disciplines.

* Strong scientific writing, presentation, and communication skills.

Preferred Qualifications

* Experience with aging, cellular senescence, inflammation, immune biology, tissue repair, or related areas.

* Experience with mouse genetics and disease models, molecular and cellular assays, histology, immunofluorescence, flow cytometry, or quantitative image analysis.

* Experience with scRNA-seq or spatial transcriptomics.

* Experience integrating molecular, imaging, histologic, and phenotypic data.

* Candidates with a strong experimental background who wish to develop expertise in single-cell and spatial genomics, or computational candidates who wish to expand their experimental expertise, are encouraged to apply.

Selected Publications

* Diabetes exacerbates destructive inflammation by activating the CD137L-CD137 axis. Journal of Clinical Investigation. PMID: 41379565.

* Single Cell Sequencing Identifies Distinct Cellular Alterations in Impaired Aged and Diabetic Wounds. Aging Cell. PMID: 41189300.

* Ko KI et al. NF-kappaB perturbation reveals unique immunomodulatory functions in Prx1-positive fibroblasts that promote development of atopic dermatitis. Science Translational Medicine. 2022. PMID: 35108061.

Application Instructions
Appointment and Application

* Funding: The principal investigator has multiple RO1 grant support through 2031.

* Start date: Available immediately following interviews and reference review.

* Application materials: Submit a curriculum vitae, a brief statement describing research experience and future interests, and the names and contact information of three references.

* Contact: Jen East, jeneast@upenn.edu

To apply, visit https://apply.interfolio.com/193922

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.