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Post-Doctoral Fellow Department of Radiation Oncology , Lab of Dr. Vinogradskiy

Jefferson Health

Philadelphia (Philadelphia County)

On-site

USD 50,000 - 70,000

Full time

25 days ago

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Job summary

A leading health institution is seeking a Post-Doctoral Fellow in the Department of Radiation Oncology. This role focuses on pioneering research in functional imaging and machine learning to enhance cancer treatment. The fellow will engage in collaborative projects, utilizing advanced imaging techniques to improve clinical outcomes for patients.

Qualifications

  • Strong interest in academic or data science career.
  • Ability to thrive in a collaborative environment.
  • Opportunities for clinical experience and mentorship.

Responsibilities

  • Conduct research integrating functional imaging into radiation therapy.
  • Apply ML and DL techniques to identify imaging biomarkers.
  • Collaborate with faculty and national/international partners.

Skills

Machine Learning
Image Processing
Deep Learning
Clinical Outcome Modeling
Computational Skills

Education

PhD in Medical Physics, Electrical Engineering, Physics, or related field

Tools

Eclipse
MOSAIQ

Job description

Post-Doctoral Fellow Department of Radiation Oncology, Lab of Dr. Vinogradskiy

Join to apply for the Post-Doctoral Fellow Department of Radiation Oncology, Lab of Dr. Vinogradskiy role at Jefferson Health.

Job Details

Thomas Jefferson University is accepting applications for a post-doctoral fellow in the Department of Radiation Oncology within the computational physics lab. The position focuses on research in functional imaging, image processing, machine learning (ML), deep learning (DL), and clinical outcome modeling prediction.

Job Description

This is an exciting opportunity to work on NCI-funded research integrating functional imaging into radiation therapy and clinical care for cancer patients. The research involves working with patient data from prospective clinical trials and retrospective datasets. The fellow will apply image processing, ML, DL, and clinical outcome modeling techniques to functional imaging to identify early imaging biomarkers for predicting and mitigating treatment side-effects. Collaboration with Jefferson faculty, national and international partners, and investigators at the NCI Quantitative Imaging Network will be integral.

Candidates should have a PhD in Medical Physics, Electrical Engineering, Physics, or a related field. The ideal candidate will be highly interested in an academic or data science career, possess strong computational skills, and thrive in a collaborative environment. Opportunities for clinical experience, treatment planning, and mentorship in clinical trial design and statistical modeling will be provided based on the fellow's interests.

Additional Information

The Thomas Jefferson Medical Physics Division includes 33 physicists, a computational physicist, 7 residents, and 6 post-doctoral fellows. Equipment includes Varian and Elekta Linacs, a ViewRay MRI-Linac, and Elekta’s brachytherapy studio. Treatment planning is mainly performed with Eclipse, and MOSAIQ is used for record and verify.

Jefferson is an Equal Opportunity Employer committed to diversity and encourages applications from women, minorities, LGBTQ individuals, disabled persons, and veterans. Applications should be sent to Julianne Johnson at Julianne.Johnson@jefferson.edu with a CV and statement of interest.

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