Research Assistant Professor – Artificial Intelligence in Cancer Imaging

Job description

Research Assistant Professor – Artificial Intelligence in Cancer Imaging

Philadelphia, PA
Open Date:
Aug 24, 2020
Close Date:
Aug 24, 2022

The Department of Radiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure research track. Expertise is required in the specific area of data science; medical image analysis; deep learning and machine learning methodologies; x-ray imaging systems, ideally for breast cancer imaging applications; experience in conducting multi-disciplinary translational research studies; prior experience of supervising research trainees; track record of first-author peer-reviewed publications; writing grant applications. Applicants must have a Ph.D. or equivalent degree.

Research or scholarship responsibilities may include developing of a largely collaborative and/or independent research program with participation in multidisciplinary research developing and implementing novel approaches of artificial intelligence (AI) in cancer imaging applications, with a particular focus in precision cancer screening and multi-omic data integration. Planning and implementing the program’s long-term goals, including writing grant applications and designing experiments; taking the lead in producing peer-reviewed publications; supervising trainees, developing novel techniques for quantitative analysis of multi-modality imaging data, including x-ray mammography, breast tomosynthesis, MRI and molecular imaging data using statistical tools and machine learning algorithms; working towards the clinical translation of AI in precision screening of cancer.

This position offers an opportunity to participate in cutting-edge collaborative multi-disciplinary projects in the Radiology department as well as the departments of pathology, oncology, genetics, biostatistics, informatics and epidemiology. Additionally, the applicant will perform front-line independent research, publishing papers in the top scientific literature and pursuing collaborative as well as independent funding.

The successful applicant will be a leading faculty member within the Computational Biomarker Imaging Group (CBIG), a research group within the Center for Biomedical Image Computing and Analytics (CBICA) of the Department of Radiology, with a vision is to act as a translational catalyst between computational imaging science and clinical cancer research by integrating image analysis, pattern recognition and data mining in clinically relevant cancer imaging applications. CBIG collaborates with faculty in the University of Pennsylvania Abramson Cancer Center (ACC), the Institute for Biomedical Informatics (IBI), and the Center for Clinical Epidemiology and Biostatistics (CCEB). In addition, collaborators across different institutions include a range of experts in informatics, medical physics, radiology, radiation oncology, genetics, pathology, oncology, biostatistics, and epidemiology.

We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.




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Job No:
Posted: 8/25/2020
Application Due: 5/28/2021
Work Type: Full Time