Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement

Job Description

Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement, Part Time

Department of Pathology

Beth Israel Deaconess Medical Center

Harvard Medical School, Boston

The   Department of   Pathology   at   Beth Israel Deaconess Medical Center   is seeking   a   Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement (Part-Time) f aculty position   (Boston) .

As a teaching hospital   of   Harvard Medical School, BIDMC and the Department of Pathology, provide a clinically advanced and supportive academic environment for residents, fellows, and faculty.   We’re   also proud and excited to be an integral part of the landmark collaboration among Dana-Farber Cancer Institute (DFCI), Beth Israel Deaconess Medical Center (BIDMC), and Harvard Medical Faculty Physicians (HMFP) to   establish   New England’s only freestanding adult inpatient cancer hospital. The collaboration will   provide   unparalleled opportunities for pathologists and other physician specialties to be part of DFCI’s internationally recognized cancer team.

The candidate will be appointed to the faculty of Harvard Medical School at a part-time academic rank (Lecturer, Instructor, Assistant Professor, Associate Professor)   commensurate   with experience.

Position Summary

Reporting to the Director of Digital Pathology (Primary), Department Chair or   Vice Chair for Pathology Informatics , t his faculty leadership role builds, scales, and operationalizes BIDMC Pathology’s enterprise digital pathology ecosystem and serves as a department-wide expert for AI readiness, evaluation, and clinical deployment in anatomic pathology. The role partners closely with the Director of Digital Pathology key stakeholders (AP leadership, laboratory operations, IT and security, compliance, and research) to ensure safe,  validated , high-quality digital workflows and an enduring education and mentorship program.

Key   R esponsibilities

Digital Pathology Infrastructure and Operation s

Strategy and Roadmap

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Lead a multi-year roadmap for whole slide imaging (WSI) and digital sign-out capabilities across BIDMC Pathology (clinical, educational, and research use cases). Define target-state architecture, phased milestones, resourcing, and success metrics.

Platform   B uild and   I ntegration

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Lead (or co-lead) selection, implementation, and lifecycle management for WSI scanners and a scanning operations model; the image management system and enterprise viewer; storage and archiving ( on-premise  and or cloud), networking,  identity  and access controls; and integration with LIS and EMR worklists and specimen tracking and barcoding workflows.  Standardize  SOPs across scanning, image QC, downtime procedures, and incident management.

Validation,   Q uality, and   C ompliance

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Design and oversee validation protocols for primary diagnosis on digital slides (pathologist validation, case set design, discrepancy tracking,  competency  and re-validation cadence). Build a measurable QA and QC program for tissue-to-image fidelity (staining variability, scanner performance, display calibration, artefact classification, and remediation workflows). Ensure readiness for applicable regulatory and accreditation requirements (for example, CAP, CLIA, HIPAA, and institutional governance).

AI Enablement, Evaluation, and Clinical Deployment

AI   G overnance and   S afety   F ramework

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Establish an end-to-end governance model for AI tools used in pathology (selection, risk stratification, validation, monitoring, drift detection, versioning, change control, and retirement). Develop documentation standards and oversight pathways aligned with clinical risk, ethics, and equity principles.

AI readiness foundations

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Build practical infrastructure to support AI translation, including dataset curation pipelines (de-identification, annotation frameworks, ground truth practices); a secure compute environment for evaluation and, where  appropriate , model development; and performance benchmarking across representative case mixes and operational conditions.

Clinical implementation

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Partner with clinical subspecialty leads to  deploy  AI tools into workflow (triage, screening support, quantification, QC augmentation), including user training, acceptance criteria, and  post go -live monitoring.

Education  program  development and mentorship

Educatio n  p rogram

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Create and lead an ongoing “Digital Pathology and AI in Practice” education  program  for faculty pathologists and trainees; laboratory staff (histology, accessioning, scanning, and QC); and informatics and IT partners supporting pathology. Curriculum to include validation, workflow redesign, QC, human factors, AI evaluation literacy, and practical guidance on safe and responsible use of AI outputs.

Mentorship

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Mentor trainees and faculty in digital pathology, computational pathology collaboration, and  responsible  AI adoption. Support scholarly output and career development for learners and junior faculty engaged in digital and AI initiatives.

Research, innovation, and external collaboration

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Enable clinical-translational research through high-quality digital slide repositories and  standardized  data capture. Support grants, publications, and multi-institution collaborations related to digital pathology, AI evaluation, and  implementation  science. Develop and manage academically  appropriate industry  collaborations (evaluations, pilots, interoperability work), aligned with BIDMC policies.

Qualifications

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MD or DO with board certification in   Anatomic Pathology (or AP/CP) .

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Eligibility for medical licensure in   Massachu s etts .

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Demonstrated   expertise   in   computational pathology, pathology informatics, image analysis, artificial intelligence, or related domains .

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Experience leading   multidisciplinary programs or initiatives   involving clinical, computational, and informatics teams.

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Knowledge of   regulatory and quality frameworks for digital and computational pathology systems .

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Track record   of   scholarly activity, innovation, or program development   in computational pathology or informatics.

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Strong communication   and   change   management skills.

Preferred Attributes

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Visionary leader capable of advancing   data-driven transformation in pathology   at institutional and national levels.

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Dual fluency in medicine and computing or informatics, with a portfolio spanning clinical pathology practice plus technical infrastructure development.

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Strong ability to collaborate across   clinical, research, engineering, and informatics domains .

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Commitment to   clinical excellence, innovation, and academic scholarship .

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Interest in contributing to   national and international initiatives shaping the future of computational pathology .

Beth Israel Deaconess Medical Center , a 743-bed hospital and Level 1 Trauma Center, is a founding member of Beth Israel Lahey Health (BILH).  BILH, a health care system with 14 hospitals, brings together academic medical centers and teaching hospitals, community and specialty hospitals, and more than 4,000 physicians and 39,000 employees in a shared mission to expand access and advance the science and practice of medicine through groundbreaking research and education.

Harvard Medical Faculty Physicians  at Beth Israel Deaconess Medical Center (HMFP) is one of the largest physician organizations in New England, dedicated to excellence and innovation in patient care, education, and research. As a physician-led organization, HMFP partners with more than 2,400 providers to support the delivery of exceptional care, promote professional development, and foster balance at work and home. HMFP physicians have faculty affiliations with Harvard Medical School (HMS) and provide care throughout the BILH system and additional hospitals across Massachusetts.

Research

Beth Israel Deaconess Medical Center consistently ranks as a national le