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 is an equal opportunity employer and a drug-free workplace. Candidates receiving offers of employment will be subject to pre-employment drug testing and background checks.
To learn more, visit www.stjude.org/discovercures
St. Jude is an Equal Opportunity Employer
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Additional Information
SJCRH
The Department of Pathology at St. Jude Children's Research Hospital seeks a faculty member with expertise in computational pathology at the rank of Assistant, Associate, or Full Member, commensurate with experience. The Department has made substantial investment in computational pathology infrastructure within the Division of Anatomic Pathology and Neuropathology, and this recruitment reflects a strategic commitment to extend that capacity across the clinical pathology and laboratory medicine enterprise.
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.
Stjude · Memphis, TN