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Liver Cancer and Ultrasound Imaging Postdoc Fellowship

University of Pennsylvania

Philadelphia, PAResearchSeen 1mo agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
Philadelphia, PA
Role Type
Research
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

University of Pennsylvania is hiring a Liver Cancer and Ultrasound Imaging Postdoc Fellowship. The ultrasound research lab at the University of Pennsylvania seeks a motivated postdoctoral fellow to lead validation studies of a novel hydralazine‑augmented contrast ultrasound technique for early detection of hepatocellular carcinoma, translating preclinical findings toward clinical application.

Key focus areas include Lead validation studies in an autochthonous rat model of HCC with liver fibrosis, Establish the biological basis of HyCUS, and Define an optimal hydralazine dosing regimen.

Important skills include Animal Models, Histology, and Analytical Writing. Preferred (not required): Ultrasound Imaging, Contrast-Enhanced Ultrasound, Tumor Biology, and Vascular Physiology.

Skills & qualifications

RequiredNice to have

Skills

Ultrasound ImagingContrast-Enhanced UltrasoundAnimal ModelsHistologyAnalytical WritingTumor BiologyVascular PhysiologyPharmacology

Qualifications

PhD MD/PhD or Equivalent Doctoral Degree in Biomedical Engineering Bioengineering Chemical Engineering Pharmacology Imaging Sciences or Related FieldHands-on Experience With Animal Models and HistologyBackground in Tumor Biology Vascular Physiology or PharmacologyInterest in Contrast-Enhanced Ultrasound Imaging

Full job description

Description

Mentor: Chandra Sehgal, PhD

Hiring Department: Radiology

Funding Source: NIH

Number of positions: 1

U.S. Citizens and foreign nationals may apply

Project overview

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.

Research Activity

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.

  • PhD, MD/PhD, or equivalent doctoral degree in Biomedical Engineering, Bioengineering, Chemical Engineering, Pharmacology, Imaging Sciences, or a related field.

  • Background and interest in tumor biology, vascular physiology, or pharmacology

  • Hands-on experience with animal models and histology is required

  • Interest in contrast-enhanced ultrasound imaging

  • Strong analytical and writing skills; interest in building an independent research trajectory

We will provide training in any missing technical skills for motivated candidates.

To apply, please submit the following through Interfolio:

  • Brief statement of your research experience and interests

  • Curriculum Vitae

  • Name and contact information of three references.

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.

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