Research Fellow – Digital Pathology
Research Fellow – Digital Pathology
Mayo Clinic
This Research Fellow position focuses on advancing digital pathology through the development and application of artificial intelligence and machine learning technologies. The role involves working with large-scale digital pathology datasets and multimodal clinical data to support the creation of innovative diagnostic and predictive tools. The fellow collaborates with a multidisciplinary team of pathologists, data scientists, and engineers to design and implement research that translates into real-world clinical impact. This position offers the opportunity to contribute to cutting-edge advancements in pathology while supporting the future of personalized healthcare.
Responsibilities:
- Collaborate with AI scientists and engineers to develop and evaluate machine learning models for pathology
- Design and lead research projects in digital pathology and clinical data analysis
- Analyze large-scale imaging and multimodal datasets
- Support development of software tools and AI-based diagnostic systems
- Translate research findings into clinical applications
- Contribute to publications, presentations, and scientific communication
- Work within a multidisciplinary team to advance research goals
Qualifications:
- MD or DVM with residency training in Anatomic Pathology
- Strong knowledge of pathology reporting and morphologic interpretation
- Experience with machine learning or deep learning technologies
- Proficiency in Python and machine learning frameworks
- Strong written and verbal communication skills
- Ability to work independently and collaboratively
- Comfort working with complex healthcare data
Preferred Qualifications:
- Advanced degree in computer science, engineering, or related field
- Training in clinical informatics or bioinformatics
- Experience with AI in healthcare or digital pathology
Additional Information:
Full-time position with Monday through Friday schedule
Opportunity to work with large-scale clinical and pathology datasets
Focus on research, innovation, and clinical impact
Pay Type: Salary
Compensation: $64,079 – $74,963 per year
Additional Info
Job Type : Full-Time
Education Level : Masters, Bachelors Degree
Experience Level : Mid Level
Job Function : Technology, Caring Professions, Professional Services





