Faculty Position, Department of Radiology - Pediatric Body Radiology

About this role

SJCRH

Position Overview:  

St. Jude Children’s Research Hospital invites applications for a full-time faculty position in the Department of Radiology for an ABR-certified or eligible radiologist with subspecialty training in Pediatric, Body, Chest, Abdominal, or Oncologic Radiology. The ideal candidate will be a clinician scientist whose career goals include both outstanding clinical service and innovative data science research that advances the field of pediatric oncologic and catastrophic disease imaging. Academic rank will be commensurate with experience and qualifications.

Our Mission and Vision:  

The mission of St. Jude Radiology is to advance cures and understanding of pediatric cancer and catastrophic diseases through excellence in radiology research, innovation, clinical practice, education, and administration. Our vision is to lead the world in radiology for pediatric cancer and catastrophic diseases. 

Department Overview:  

The department is composed of seven sections: Body Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and also serves patients with hematologic, infectious, and rare neurologic diseases. Many of our patients are on clinical trials, providing rich opportunities for collaboration and for developing and validating imaging biomarkers and endpoints.

Clinician Scientists:   

Clinician scientists at St. Jude are provided with exceptional support to build and sustain productive academic careers. Faculty on this track receive dedicated research time, typically 50% of their effort, along with full-time research staff (one, two, or three dedicated and permanent staff members for assistant, associate, and full members, respectively). Each clinician scientist is provided with a recurring research cost center (budget) that is renewed annually in perpetuity. In addition, faculty may receive a startup package (e.g., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering, and grant-writing expertise. Clinician scientists are expected to obtain extramural funding, and our infrastructure is specifically designed to foster success in this area through mentorship, collaboration, and technical and administrative assistance.

Clinical:  

Clinical responsibilities are manageable and designed to complement academic pursuits. The Body Radiology reading room is staffed by two radiologists on weekdays, with light call on evenings and weekends, taken from home and consisting mainly of peer review of teleradiology cases. There is no trauma or emergency room coverage and no intussusception reductions. The section supports a 3D and virtual reality (VR) imaging lab, a tumor metrics (response evaluation) lab, and receives assistance from three physicists who provide expertise across all imaging modalities. Body Radiologists interpret MRI, CT, ultrasound, DEXA, and radiographs, with optional opportunities to participate in cardiac MRI and nuclear imaging. We employ the latest imaging technologies, including four state-of-the-art MRI systems (a fifth planned for 2026) and a photon-counting CT scanner coming online in early 2026. For those with an interest in nuclear medicine, we have a dedicated cyclotron and an extended field-of-view PET/CT scanner, the first installed in a dedicated pediatric hospital in North America.

Artificial Intelligence:   

The department is deeply engaged in advancing artificial intelligence (AI) and quantitative imaging to improve both patient care and research. Some clinician scientists are also members of Intelligent Imaging Informatics (I3), an expanding section that harnesses the power of imaging informatics and AI to accelerate research, clinical care, and translational efforts in pediatric radiology, advancing the St. Jude Mission. The Image Quantification and Artificial Intelligence (IQAI) Co-Laboratory is a dedicated research and development team for biomedical informatics and AI. This interdisciplinary team serves the Department of Radiology by building and maintaining the advanced data infrastructure that fuels faculty-led research, performing collaborative projects with clinicians and scientists and conducting core biomedical informatics research. The IQAI team recently developed a Radiology Data Center (RDC) for data science that supports de-identified radiologic and pathology data, electronic medical records, and other institutional datasets.

Research:   

Research is at the core of the St. Jude mission, and the Department of Radiology offers an extraordinary ecosystem for investigator-initiated science. Faculty   benefit   from access to IQAI and the Radiology Data Center for data science and quantitative imaging research, as well as support from dedicated staff for grant writing, IRB management, clinical research coordinat ors , image processing ,   and biostatistics.   Faculty are encouraged to pursue both independent and collaborative projects that   leverage   the department’s integration with   research   programs in   MRI and multimodal imaging, Molecular Imaging,   Oncology, Surgery, Pathology, Data Science ,   Imaging Sciences,   and St. Jude Global . Opportunities exist to develop novel imaging biomarkers   and AI   tools   that   impact   patient care ,   clinical trial s , population science, and research . In addition to internal institutional funding opportunities, faculty are supported through mentorship and infrastructure aimed at securing extramural grants from agencies such as the NIH, foundations, and industry partners.   This environment provides a powerful foundation for faculty to pursue transformative imaging research that directly   impacts   patient care, clinical trials, and global pedi

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