Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement

Harvard Medical Faculty Physicians

6d•$269,000 - $321,000•Onsite

About The Position

The Department of Pathology at Beth Israel Deaconess Medical Center (BIDMC), a teaching hospital of Harvard Medical School, is seeking a part-time Senior Faculty Lead, Digital Pathology Infrastructure and AI Enablement. This role offers a clinically advanced and supportive academic environment, with opportunities to be part of a landmark collaboration establishing New England’s only freestanding adult inpatient cancer hospital. The candidate will be appointed to the faculty of Harvard Medical School at a part-time academic rank commensurate with experience. This faculty leadership role is responsible for building, scaling, and operationalizing BIDMC Pathology’s enterprise digital pathology ecosystem and serving 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 and key stakeholders to ensure safe, validated, high-quality digital workflows and an enduring education and mentorship program.

Requirements

MD or DO with board certification in Anatomic Pathology (or AP/CP).
Eligibility for medical licensure in Massachusetts.
Demonstrated expertise in computational pathology, pathology informatics, image analysis, artificial intelligence, or related domains.
Experience leading multidisciplinary programs or initiatives involving clinical, computational, and informatics teams.
Knowledge of regulatory and quality frameworks for digital and computational pathology systems.
Track record of scholarly activity, innovation, or program development in computational pathology or informatics.
Strong communication and change management skills.

Nice To Haves

Visionary leader capable of advancing data-driven transformation in pathology at 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 across clinical, research, engineering, and informatics domains.
Commitment to clinical excellence, innovation, and academic scholarship.
Interest in contributing to national and international initiatives shaping the future of computational pathology.

Responsibilities

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