EDIT AI Summer Internship 2025
Lebanon,
United States
The EDIT AI Internship Program, hosted by Dartmouth Health and the Dartmouth Cancer Center’s CRTEC initiative, provides high school students with the unique opportunity to explore the intersection of artificial intelligence (AI) and medicine. Founded within the Department of Pathology and Laboratory Medicine, this national program aims to inspire diverse students to pursue innovative career pathways in AI-driven healthcare solutions.
Key Responsibilities:
• Participate in one of three program tracks based on skill level and interest:
• Skills Track: Develop foundational programming and machine learning techniques.
• Advanced Track: Engage in research projects, with opportunities to contribute to scholarly publications.
• Peer Mentor Track: Balance research activities with mentorship responsibilities, supporting peers while advancing your own skills.
• Work on projects involving data analysis and AI applications in medicine using cutting-edge virtual lab resources, including access to high-performance computing systems.
• Collaborate with mentors and peers, attend weekly office hours, and leverage departmental resources to enhance your learning experience.
Preferred Qualifications:
• Interest in artificial intelligence, programming, and healthcare.
• Enthusiasm for collaborative learning and a willingness to contribute to innovative projects.
• Familiarity with basic programming concepts and a desire to develop advanced computational skills.
This is a fully remote opportunity, with resources and mentorship provided to help interns succeed in developing AI solutions that make meaningful contributions to the medical field.
What Students Will Have Access To:
Virtual Lab Environment: Full access to the Department of Pathology’s flagship QDP-Alpha resource, which includes:
• 300 CPUs and 2TB of RAM for high-performance computing.
• 430Gb across 13 GPUs for advanced machine learning and AI training.
• 300TB of secure storage for handling large datasets.
Guidance and Mentorship: Weekly office hours, one-on-one support sessions, and structured feedback from program coordinators and mentors.
Educational Resources: A series of lectures, seminars, and guided project tutorials tailored to each program track to help students build AI expertise.
Research Opportunities: Access to Institutional Review Board (IRB)-approved datasets and research initiatives focusing on diagnostics in pathology, cancer detection, gigapixel image analysis, and more.
Networking Opportunities: Connect with researchers, clinicians, and fellow interns to collaborate and explore future career pathways.
Preferred Qualifications:
• Interest in artificial intelligence, programming, and healthcare.
• Enthusiasm for collaborative learning and a willingness to contribute to innovative projects.
• Familiarity with basic programming concepts and a desire to develop advanced computational skills.