Faculty Member in Computational Pathology

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The successful candidate will bring deep clinical expertise in one or more clinical pathology subspecialties, along with a demonstrated record of applying computational, AI, and machine learning (ML) approaches to diagnostic and operational problems in the clinical laboratory, or a clearly articulated trajectory toward such work. Strong subject matter expertise is considered prerequisite to meaningful implementation of AI-enabled solutions in this domain, and candidates will be evaluated accordingly.

The position is on the Clinical or Clinician Scientist faculty track. Professional effort will be distributed approximately as follows: clinical service not to exceed 50%, approximately 25% for protected independent academic effort devoted to scholarship, research, and mentorship, and approximately 25% directed towards computational pathology development, validation, and implementation.

The successful candidate will lead the development and clinical deployment of computational and AI-enabled solutions across clinical pathology operations, working in close collaboration with subject matter experts across clinical pathology, institutional Data Sciences teams and the existing computational pathology group in the Division of Anatomic Pathology and Neuropathology.

Responsibilities include translating clinical and operational problems into analytically tractable applications, contributing to data governance and sustainable deployment of AI tools within clinical systems, and building a program of scholarship appropriate to rank.

Areas of clinical expertise may include molecular diagnostics, hematopathology, clinical laboratory hematology, and flow cytometry analytics, transfusion medicine, clinical microbiology, and clinical chemistry. Computational focus may be on diagnostics, prognostication, image analysis, multidisciplinary data synthesis, laboratory utilization management, and/or quality analytics, among other areas.

Requirements:

MD or DO degree required

Candidates must hold board certification in Clinical Pathology, or in both Anatomic and Clinical Pathology, and must be board-certified or board-eligible in subspecialties appropriate to the proposed scope of clinical service. Candidates must demonstrate expertise in computational pathology, AI/ML, or a closely related field, with preference for those who have contributed to the development or clinical validation of computational tools in a laboratory medicine or translational setting. An unrestricted medical license to practice in the State of Tennessee, or eligibility for such licensure at the time of hire, is required.

Applicants should submit a letter of application, an academic statement, a curriculum vitae, and the names of three referees directly online.

For more information:

David Ellison, MD, PhD
Chair, Department of Pathology
Email: David.ellison@stjude.org

or

Brent Orr, MD, PhD
Director, Division of Anatomic Pathology and Neuropathology
Email: brent.orr@stjude.org

St. Jude Children's Research Hospital, founded by the late entertainer Danny Thomas, is one of the world's premier centers for the research and treatment of pediatric cancer and other catastrophic childhood diseases. St. Jude is the first and only pediatric cancer center to be designated as a Comprehensive Cancer Center by the National Cancer Institute. Children from all 50 states and from around the world have come through the doors of St. Jude for treatment, and thousands more around the world have benefited from the research conducted at St. Jude - research that is shared freely with the global medical community. St. Jude is the only pediatric cancer research center where families never pay for treatments that are not covered by insurance. No child is denied treatment because of a family's inability to pay. St. Jude offers exceptional institutional resources, a highly collaborative environment, and a mission-driven culture dedicated to advancing diagnostic innovation.

To learn more, visit www.stjude.org/discovercures