Faculty Position in Pediatric Neuroradiology, Department of Radiology

Job Description

St. Jude Children's Research Hospital is seeking an MD or DO neuroradiologist for an available full‑time faculty position in the Department of Radiology.

St. Jude invites applications for a full‑time faculty position for an A ‑certified or eligible radiologist with subspecialty training in Neuroradiology. The ideal candidate will be a clinician scientist whose career goals include both outstanding clinical service in neuro‑oncologic imaging and innovative research that advances the field of neuro‑oncologic and catastrophic disease imaging. A commitment to education is also highly valued and expected.

Academic rank will be commensurate with experience and qualifications.

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.

The department is composed of seven sections:
Neuroradiology, Body Radiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Neuroradiology section focuses primarily on pediatric neuro‑oncologic imaging and also serves cancer survivor research participants and 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 e 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 responsibilities are manageable and designed to complement academic pursuits. The Neuroradiology 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. The section supports a tumor metrics (response evaluation) lab and receives assistance from three physicists who provide expertise in MRI and CT.

Neuroradiologists interpret predominantly MRI exams and some CT exams. We utilize 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.

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.

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