Mayo Clinic
Overview
Research Fellow-Radiology at Mayo Clinic. This role focuses on AI-driven solutions for clinical and radiological workflows, including the development and deployment of multimodal transformer-based architectures and large language models tailored to medical imaging, clinical notes, and structured health records. 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.
Exemption Status
Exempt Compensation
$68,564 - $80,210 per year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible
Yes Schedule
Full Time Hours/Pay Period
80 International Assignment
No Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Mayo Clinic locations include three major campuses in Phoenix/Scottsdale, Arizona; Jacksonville, Florida; Rochester, Minnesota; Mayo Clinic Health System campuses throughout the Midwest; and international locations. Each Mayo Clinic location is a unique place where our employees thrive in both their work and personal lives. Learn more about what each Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Mayo Clinic participates in E-Verify and may provide the Social Security Administration with information from Form I-9 to confirm work authorization. Recruiter
Kara Schott
#J-18808-Ljbffr
Research Fellow-Radiology at Mayo Clinic. This role focuses on AI-driven solutions for clinical and radiological workflows, including the development and deployment of multimodal transformer-based architectures and large language models tailored to medical imaging, clinical notes, and structured health records. 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.
Exemption Status
Exempt Compensation
$68,564 - $80,210 per year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible
Yes Schedule
Full Time Hours/Pay Period
80 International Assignment
No Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Mayo Clinic locations include three major campuses in Phoenix/Scottsdale, Arizona; Jacksonville, Florida; Rochester, Minnesota; Mayo Clinic Health System campuses throughout the Midwest; and international locations. Each Mayo Clinic location is a unique place where our employees thrive in both their work and personal lives. Learn more about what each Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Mayo Clinic participates in E-Verify and may provide the Social Security Administration with information from Form I-9 to confirm work authorization. Recruiter
Kara Schott
#J-18808-Ljbffr