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University of Pennsylvania invites applications for a Liver Cancer and Ultrasound Imaging Postdoc Fellowship. The role focuses on translating HyCUS, a hydralazine-augmented contrast ultrasound technique, from bench to bedside in hepatocellular carcinoma models.
The candidate will lead validation studies in a rat model of HCC with fibrosis, define dosing regimens, and compare HyCUS with current imaging methods. Training is provided for missing techniques. NIH funding supports the project.
University of Pennsylvania – Perelman School of Medicine
Aug 10, 2026
Chandra Sehgal, PhD
Radiology
NIH
1U.S. Citizens and foreign nationals may apply
The ultrasound research lab is developing hydralazine-augmented contrast ultrasound (HyCUS), a novel functional imaging technique that exploits differences in tumor versus liver vasculature to improve early detection of hepatocellular carcinoma (HCC), the fastest-growing cause of cancer death in the U.S. Our preliminary data show HyCUS more than triples lesion visibility compared to standard B-mode and contrast-enhanced ultrasound, and detects small HCC lesions missed entirely by current clinical methods. We are seeking a motivated postdoctoral fellow to help translate this promising discovery from bench to bedside.
The candidate will lead validation studies in an autochthonous rat model of HCC with liver fibrosis, working across three interconnected aims: establishing the biological basis of HyCUS, defining an optimal hydralazine dosing regimen, and benchmarking HyCUS against existing sonographic surveillance methods. The investigator will work at the intersection of cancer biology, vascular pharmacology, and noninvasive imaging. The position provides an opportunity to shape a translational imaging technology from preclinical proof of concept toward eventual clinical application.
We will provide training in any missing technical skills for motivated candidates.
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.