Research Fellow - AI & Data Analytics in Radiation Oncology

Role Overview: This position involves developing and deploying AI and machine learning models within clinical workflows to advance cancer care. The Research Fellow will contribute to innovative projects that translate research into practical tools, supporting clinicians and improving patient outcomes. Key Responsibilities Design, implement, and evaluate AI models in real-world clinical settings.Develop end-to-end systems integrating AI into workflows, from predictive modeling to automation.Lead research initiatives in collaboration with multidisciplinary teams, including physicians, physicists, and data scientists.Translate research concepts into prototypes and deployed solutions, assessing their clinical impact and usability. Qualifications & Skills PhD in Computer Science, Machine Learning, Biomedical Informatics, Engineering, Physics, Applied Math, or related fields.Strong expertise in modern machine learning techniques (e.g., deep learning, transformers).Proficiency in Python and ML frameworks such as PyTorch, JAX, or scikit-learn.Excellent communication skills for presenting complex ideas clearly.Self-motivated and capable of managing ambiguous problems. Additional Details: The role is full-time, exempt, and involves working Monday through Friday, with occasional weekend hours as needed. It offers competitive compensation, benefits, and opportunities for career growth in a collaborative environment focused on impactful healthcare innovation.