The Kann Lab at the Mass General Brigham Artificial Intelligence in Medicine (AIM) program, affiliated with Harvard Medical School, is seeking a PhD student and/or Postdoctoral Fellow to join their team in Boston, MA. The lab focuses on developing, evaluating, and applying artificial intelligence (AI) and deep learning models to improve cancer imaging and clinical care. Research areas include brain tumors (in both children and adults), head and neck cancers, lung cancers, longitudinal and multimodal imaging, vision-language models, and clinical prediction and decision support.

The team has a strong publication record in top journals such as Nature Neuroscience, JCO, Lancet Oncology, Nature Communications, and NEJM:AI. Their work involves translating deep learning and foundation models directly into clinical trials and real-world applications, including automated body composition assessment, survival modeling, and treatment response prediction. The lab offers a collaborative and supportive environment, access to large-scale multi-institutional datasets, and strong mentorship within the MGB AIM ecosystem.

Applicants should have a strong background in deep learning, computer science, biomedical engineering, data science, or a related field. Experience in scientific writing and a demonstrated interest in translational, clinically meaningful AI are essential. The lab values team players who are eager to contribute to impactful research at the intersection of AI and cancer imaging.

To apply, candidates should send their CV and a brief research statement to Dr. Benjamin H. Kann at [email protected]. The opportunity is open to both PhD students and postdoctoral fellows. No specific deadline or funding details are provided in the announcement.