Yale University Yale University Website New Haven, CT, USA Internship Apply for job Published on 06.09.26 AI Researcher at Yale University Academic Job Opportunity at Yale University - Machine Learning / Biomedical Engineering / Medical Imaging / Cancer Research / Data Science We are looking for a talented recent graduate in Computer Science, Biomedical Engineering, Data Science, or a related quantitative field to join the Interventional Oncology Research Lab at Yale University School of Medicine for a 1-2 year research position. Prior industry experience is strongly encouraged, but not required. Our research group works at the intersection of machine learning, medical imaging, biomedical engineering, and cancer research, with a particular focus on developing computational methods to analyze imaging and clinical data in patients with liver cancer.

What you would work on:

• Machine learning and deep learning applied to medical imaging and clinical data
• Quantitative analysis of CT, MRI, and other imaging modalities
• Multimodal and longitudinal data analysis
• Development and validation of imaging biomarkers
• Translational research in liver cancer and interventional oncology
• Close collaboration with physicians, biomedical engineers, computer scientists, graduate students, and medical students Prior experience with medical imaging or medical data is highly desirable but not required.

Strong candidates with backgrounds in computer science, engineering, mathematics, physics, data science, or related areas are encouraged to apply. Experience with Python, machine learning, deep learning, computer vision, image processing, or statistical data analysis would be particularly valuable. Why Yale? This is intended to be a mentored academic research experience rather than simply a programming position. Trainees participate directly in research projects, lab meetings, collaborations, and the broader academic environment at Yale, with opportunities to contribute to publications and scientific presentations. We have a long track record of mentoring young researchers at this career stage. Previous members of our research environment have subsequently pursued training or positions at MIT, Columbia, Yale, Carnegie Mellon, and other leading institutions, as well as careers in the biomedical and technology industries. Our group also has collaborative ties with institutions in Israel, including Hadassah, Tel Aviv Sourasky Medical Center, and Reichman University. We particularly encourage applicants who are academically curious, interested in publishing research, and considering future graduate or doctoral training, as well as those seeking advanced academic research experience before pursuing a career in the medical technology industry. J-1 visa sponsorship is available through Yale for eligible candidates.

Location:

Yale School of Medicine, New Haven, Connecticut, USA Duration:

1-2 years Ideal stage: Recent master's graduate or equivalent early-career researcher; prior industry experience is welcome

Background:

Computer Science, Biomedical Engineering, Data Science, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field Apply for job Full Time Internship Health and Medical Junior Mid-senior University Computer Vision Deep Learning Machine Learning AI Engineer Data Scientist Researcher (Academia) Not a manager Similar jobs Postdoctoral Fellowship in

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