Research Associate position

University of Pennsylvania Perelman School of Medicine

Philadelphia, PA0–3 yrs38m agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 3 years
Must know
Data analysis
Work
On-site in Philadelphia
Pay
Not stated by the employer.
Skill demand
Data analysis15%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 5, 2026 · still open

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Research Associate

Division of Endocrinology, Diabetes, and Metabolism

Department of Medicine

Perelman School of Medicine at the University of Pennsylvania

Philadelphia, PA

About the Role

This is a Research Associate position within the Academic Support Staff of the Division of Endocrinology, Diabetes, and Metabolism. The appointment is initially for one (1) year, with continuation and renewal based on satisfactory performance and funding availability, limited to three (3) years.

Key Responsibilities

  • Conduct independent and collaborative research on the role of nuclear receptors (PPARα and HNF4α) in hepatic lipid metabolism and metabolic disease.
  • Analyze epigenomic and transcriptomic datasets generated from genetically engineered mouse models.
  • Investigate mechanisms underlying circadian regulation in the liver and the role of the hepatic vagus nerve in maintaining circadian rhythms.
  • Contribute to experimental design, data interpretation, manuscript preparation, and presentation of research findings.
  • Collaborate with laboratory members on related research projects.

Requirements & Tech Stack

  • Expertise in nuclear receptor signaling, including PPARα and HNF4α.
  • Expertise in hepatic lipid metabolism.
  • Expertise in genetic regulation of metabolism.
  • Expertise in circadian biology.
  • Expertise in epigenetic and transcriptomic data analysis.
  • Expertise in metabolic disease research using genetically engineered mouse models and advanced genomic approaches.

Qualifications

  • Ph.D. degree.
  • Opportunity to develop advanced expertise in metabolic disease research, genomic and epigenomic data analysis, circadian biology, and nuclear receptor signaling.
  • Training and mentorship provided in experimental design, data interpretation, scientific communication, and collaborative research.

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