Faculty Position - Department of Pathology, Computational Pathology

Thecentermemphis; Memphis (TN); On-site; USD 150,000 - 200,000; Full time

Job summary

Thecentermemphis is seeking a faculty member in computational pathology at St. Jude Children's Research Hospital in Memphis, TN. The ideal candidate will have an MD or DO degree, board certification in Clinical Pathology, and expertise in computational approaches.

This position emphasizes clinical service, independent research, mentorship, and the development of AI-enabled solutions for clinical pathology. A commitment to collaboration across departments within the institution is essential.

Qualifications

• Demonstrated record of applying computational, AI, and machine learning approaches to clinical problems.
• Expertise in molecular diagnostics, hematopathology, clinical microbiology, and more.
• Ability to translate clinical problems into analytically tractable applications.

Responsibilities

• Lead development and deployment of computational and AI‑enabled solutions in clinical pathology.
• Work with subject matter experts and Data Sciences teams.
• Build a program of scholarship appropriate to faculty rank.

Skills

Expertise in computational pathology

AI and machine learning

Clinical pathology subspecialties

Data governance

Analytically tractable applications

Education

MD or DO degree

Board certified in Clinical Pathology

Unrestricted medical license in Tennessee

Tools

AI tools

Computational tools in laboratory settings

Job description

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 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

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, 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 quality analytics.

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.

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