Research Associate, Kidney & Cardiovascular Metabolic Disease

University of Pennsylvania; United (PA); On-site; USD 60,000 - 90,000; Full time

Job summary

University of Pennsylvania invites applications for a Research Associate in Kidney and Cardiovascular-Metabolic Disease within the Perelman School of Medicine. The role focuses on molecular and cellular mechanisms of kidney and cardiovascular-metabolic diseases, including diabetic kidney disease and therapeutic responses to SGLT2 inhibitors.

Responsibilities include experimental design, advanced molecular biology, genetically modified models, and integrative multi-omics analyses.

Qualifications

• Applicants must have an M.D. or M.D./Ph.D. or equivalent degree.
• Experience in experimental design and advanced molecular biology techniques.
• Experience with genetically modified animal models and computational analysis.

Responsibilities

• Design and conduct biomedical research on molecular and cellular mechanisms underlying kidney and cardiovascular-metabolic diseases.
• Perform molecular biology experiments and work with genetically modified mouse models.
• Conduct computational analyses of human genetic, single-cell, and spatial transcriptomic datasets; integrate multi-omics data.
• Collaborate with multidisciplinary research teams and external facilities.

Skills

Experimental design

Molecular biology

Animal models

Computational analysis

RNA sequencing

Spatial transcriptomics

Multi-omics integration

Diabetic kidney disease

Education

MD or MD/PhD or equivalent

Tools

Single-cell RNA sequencing

Computational tools

Job description

University of Pennsylvania invites applications for a Research Associate in Kidney and Cardiovascular-Metabolic Disease within the Perelman School of Medicine. The role focuses on molecular and cellular mechanisms of kidney and cardiovascular-metabolic diseases, including diabetic kidney disease and therapeutic responses to SGLT2 inhibitors.

Responsibilities include experimental design, advanced molecular biology, genetically modified models, and integrative multi-omics analyses.