PathAssist at Mayo Clinic aims to solve the problem of democratizing diagnostic expertise in pathology by developing an AI-driven tool that recommends optimal diagnostic stains and molecular tests using principles of information theory, leveraging Mayo's vast data ecosystem.
Requirements
- strong programming and analytical skills
- principles of information theory
- use of x-ray computed tomography (CT)
- radiation dosimetry
- x-ray physics
- proficiency in Matlab and/or C++ programs
- process and test algorithms
Responsibilities
- developing, training, and validating advanced multimodal AI models that integrate digital pathology, clinical text, and population health data
- hands-on data curation
- probabilistic and self-supervised model development
- statistical performance evaluation
- setting up mechanical research equipment
- developing experimental protocols
- implementing protocols
Other
- curiosity about medical AI, digital pathology, and the future of diagnostic decision support
- interdisciplinary collaboration with physicians and scientists in computational pathology and informatics
- Requires at least three years of postdoctoral research experience at Mayo Clinic or elsewhere.
- The ability to perform specialized or complex functions would typically be demonstrated through review of scientific accomplishments, contributions, and peer-reviewed publications averaging at least one per year post doctoral degree.
- The Research Associate is expected to provide leadership support and training within an established research program.
