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TheDepartment ofPathologyatBeth Israel Deaconess Medical Centeris seekingaSenior Faculty Lead, Digital Pathology Infrastructure and AI Enablement (Part-Time) faculty position(Boston).

As a teaching hospitalofHarvard Medical School, BIDMC and the Department of Pathology, provide a clinically advanced and supportive academic environment for residents, fellows, and faculty.We'realso 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) toestablishNew England's only freestanding adult inpatient cancer hospital. The collaboration willprovideunparalleled 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)commensuratewith experience.

Position Summary

Reporting to the Director of Digital Pathology (Primary), Department Chair orVice Chair for Pathology Informatics, this faculty leadership role builds, scales, andoperationalizesBIDMC 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 mentorshipprogram.

KeyResponsibilities

Digital Pathology Infrastructure and Operations

Strategy and Roadmap

• 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.

PlatformBuild andIntegration

• 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-premiseand or cloud), networking,identityand access controls; and integration with LIS and EMR worklists and specimen tracking and barcoding workflows.StandardizeSOPs across scanning, image QC, downtime procedures, and incident management.

AIGovernance andSafetyFramework

• 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

• 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, whereappropriate, model development; and performance benchmarking across representative case mixes and operational conditions.

Clinical implementation

• Partner with clinical subspecialty leads todeployAI tools into workflow (triage, screening support, quantification, QC augmentation), including user training, acceptance criteria, andpost go-live monitoring.

Educationprogramdevelopment and mentorship

Educationprogram

• Create and lead an ongoing "Digital Pathology and AI in Practice" educationprogramfor 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

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

Research, innovation, and external collaboration

• Enable clinical-translational research through high-quality digital slide repositories andstandardizeddata capture. Support grants, publications, and multi-institution collaborations related to digital pathology, AI evaluation, andimplementationscience. Develop and manage academicallyappropriate industrycollaborations (evaluations, pilots, interoperability work), aligned with BIDMC policies.

Qualifications

• MD or DO with board certification inAnatomic Pathology (or AP/CP).

• Eligibility for medical licensure inMassachusetts.

• Demonstratedexpertiseincomputational pathology, pathology informatics, image analysis, artificial intelligence, or related domains.

• Experience leadingmultidisciplinary programs or initiativesinvolving clinical, computational, and informatics teams.

• Knowledge ofregulatory and quality frameworks for digital and computational pathology systems.

• Track recordofscholarly activity, innovation, or program developmentin computational pathology or informatics.

• Strong communicationandchangemanagement skills.

Preferred Attributes

• Visionary leader capable of advancingdata-driven transformation in pathologyat institutional and national levels.

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

• Strong ability to collaborate acrossclinical, research, engineering, and informatics domains.

• Commitment toclinical excellence, innovation, and academic scholarship.

• Interest in contributing tonational and international initiatives shaping the future of computational pathology.