Mayo Clinic is seeking to transform how blood cancers are diagnosed and treated by developing large-scale multi-modal AI models.
Requirements
- Demonstrated research experience in deep learning, computer vision, or natural language processing.
- Proficiency with PyTorch or TensorFlow and strong coding ability in Python.
- Experience with large-scale or multi-modal AI training, foundation models, or HPC/Cloud environments is highly desirable.
Responsibilities
- Develop next-generation self-supervised AI models for hematopathology, including vision and multi-modal architectures trained on large-scale gigapixel images.
- Integrate multi-modal data (histopathology, immunohistochemistry, genomics, laboratory results, and clinical notes) to create AI systems that understand disease holistically.
- Contribute to clinical translation, advancing AI tools for diagnosis, molecular classification, and treatment response prediction in lymphomas, leukemias, myeloma and related disorders.
- Collaborate across disciplines with leading experts in artificial intelligence, hematology/ oncology, pathology, and quantitative health sciences.
- Publish and present your work at top conferences and journals in AI and medical science.
Other
- PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.
- Strong communication and collaboration skills to thrive in a multidisciplinary, translational research setting.
- Exempt
- Full Time
- No
