Research Fellow-Radiology

Company: Mayo Clinic
Location: Jacksonville
Posted on: November 20, 2025

Job Description:

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights • Medical: Multiple plan options. • Dental: Delta Dental or reimbursement account for flexible coverage. • Vision: Affordable plan with national network. • Pre-Tax Savings: HSA and FSAs for eligible expenses. • Retirement: Competitive retirement package to secure your future. Responsibilities We are seeking a highly motivated Engineering Research Fellow to join our interdisciplinary team advancing AI-driven solutions for clinical and radiological workflows. This role focuses on the development and deployment of multimodal transformer-based architectures and large language models tailored to medical imaging, clinical notes, and structured health records. Key Responsibilities: • Design and implement multimodal AI/ML models integrating radiology images, clinical text, and structured EHR data. • Develop and fine-tune transformer-based architectures (e.g., BigBird, LLaMA 3.2) for tasks such as imaging protocol prediction, segmentation, and outcome forecasting. • Apply retrieval-augmented generation (RAG) frameworks to enhance model adaptability and domain relevance. • Collaborate on the creation of benchmark datasets, including labeled radiology images and annotated clinical records. • Conduct prospective studies and contribute to clinical implementation of validated models. • Publish findings in peer-reviewed journals and present at national conferences (e.g., RSNA, SIIM). Qualifications Required Qualifications: • Ph.D. in Computer Science, Biomedical Engineering, or related field. • Strong background in deep learning, natural language processing, and medical image analysis. • Experience with transformer architectures, multimodal fusion, and clinical data pipelines. • Proficiency in Python, PyTorch/TensorFlow, and ML Ops tools. • Demonstrated ability to work in collaborative, cross-functional research environments. Preferred Qualifications: • Prior experience with radiology datasets, including CT, MRI, and X-ray modalities. • Familiarity with medical ontologies (e.g., UMLS, ICD-10) and ontology-based data augmentation. • Knowledge of causal inference, bias mitigation, and explainable AI techniques.

Keywords: Mayo Clinic, Jacksonville , Research Fellow-Radiology, Science, Research & Development , Jacksonville, Florida