AACR-AstraZeneca Fellowship for Physician-Scientists for Digital Pathology and AI Training

Organization
American Association for Cancer Research (AACR)
Type
Industry
Application Due Date
09-29-2026
Brief Description

The AACR-AstraZeneca Fellowship for Physician-Scientists for Digital Pathology and AI Training represents a joint effort to support the training and career development of pathologists with a strong interest in digital pathology, artificial intelligence, and/or computational pathology. This fellowship provides physician-scientists with integrated research experiences across academic and industry settings, offering a unique opportunity to gain practical, real-world experience in AI-driven cancer research and diagnostics.

The program is intended to provide fellows with a comprehensive research experience that supports their scientific development and builds expertise in digital and computational pathology. Through mentored research in both academic and industry settings, fellows will develop the skills and perspective needed to pursue independent careers in academic research, the pharmaceutical and biotechnology industries, or related fields, contributing to advances in cancer research at the intersection of technology and oncology.

Proposed research may be basic, translational, or clinical in nature and must be focused on digital and/or computational pathology.

Applicants are required to complete two years of research training, consisting of one year at their academic institution and one year with their assigned AstraZeneca team. The AstraZeneca training component is intended to provide an immersive experience in an industry setting, with strong preference for onsite work at the company’s Gaithersburg, Maryland, or Cambridge, Massachusetts locations. The structure and scheduling of the industry-based training period may be flexible and will be determined through mutual agreement among the fellow, the fellow’s institution, and AstraZeneca, provided that a cumulative total of one year is completed with the industry partner. Hybrid and remote work arrangements may be considered, as appropriate to the fellow’s project and training plan.