Research Fellow – AI for Computational Pathology Mayo Clinic – BloodBytes AI Lab
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Job Location:
Rochester, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
27 days ago
Vacancies:
1 Vacancy
Job Summary
Do you want to build large-scale multi-modal AI models that transform how we diagnose and treat blood cancers
The BloodBytes AI Lab at Mayo Clinic is seeking a Postdoctoral Research Scholar to join our multidisciplinary team at the intersection of artificial intelligence computational pathology and hematologic oncology. Our group develops self-supervised AI models for blood cancers leveraging digital histopathology molecular data and clinical information to accelerate discovery and improve patient outcomes.
With access to one of the worlds largest pathology data ecosystems including over 22 million digitized whole slide images multi-omic and imaging data from major lymphoma leukemia and myeloma cohorts Cloud Computing and high-performance computing on DGX H100/H200 clusters you will have an unparalleled environment for innovation and translational impact.
In this role you will:
- 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.
This is a unique opportunity to help define the next era of precision hematopathology where AI models not only interpret images but integrate across data modalities to guide real-world clinical decision-making. Supported by Mayo Clinics Bold. Forward. Unbound. strategy and the Comprehensive Cancer Center you will contribute to the creation of scalable ethical and impactful AI systems for patient care.
Join us in building the future of medicine - one pixel one cell one patient at a time.
Qualifications
- PhDin Computer Science Biomedical Engineering Electrical Engineering or a related field.
- 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.
- Strong communication and collaboration skills to thrive in a multidisciplinary translational research setting.
Key Skills
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Statistical Software
- Cell Culture
- Molecular Biology
- Data Analysis Skills
- Flow Cytometry
- Microscopy
About Company
Why Mayo Clinic 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 ... View more
