Mayo Clinic Healthcare
RTP Research Fellow – Digital Pathology
Mayo Clinic Healthcare, Rochester, Minnesota, us, 55905
Overview
Join to apply for the
RTP Research Fellow – Digital Pathology
role at Mayo Clinic Healthcare Why Mayo Clinic: Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. We are dedicated to our patients and our employees, offering competitive compensation and comprehensive benefit plans, ongoing education, and advancement opportunities for a long, successful career with Mayo Clinic. Responsibilities
Assist in the development of impactful software tools and AI: Work with AI scientists and programmers to utilize your expertise in morphologic interpretation and pathology reporting to develop, implement, and evaluate vision and multimodal transformers and task-specific pathology models. Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of AI scientists, data scientists and engineers and pathologists. Drive growth and visibility: Help shape the direction and culture of MCDP as a new and expanding team. Play a key role in success through pathology expertise, publications, and strategic promotion of the work. Qualifications
M.D. or D.V.M. with residency training experience in Anatomic Pathology Strong morphologic skills and understanding of pathology reporting standards Familiarity with deep learning technologies (e.g., CNNs, transformers) Experience with Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.) Skilled in writing and able to communicate complex scientific ideas clearly and compellingly Self-motivated, execution-focused, and intellectually independent Goal-oriented Comfortable working with real-world, messy, heterogeneous healthcare data A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements
B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field Formal training in Clinical Informatics, Bioinformatics, or a related field Prior experience with AI in healthcare settings Prior experience with digital pathology Details
Exemption Status: Exempt Compensation: $64,079 - $74,963 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 Schedule Details: M-F International Assignment: No Site Description: Mayo Clinic locations include campuses in Phoenix/Scottsdale, AZ; Jacksonville, FL; Rochester, MN; and Mayo Clinic Health System campuses in the Midwest, with international locations. Learn more about each Mayo Clinic campus and fit. 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 information from Form I-9 to confirm work authorization. Recruiter: Janell Mader
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Join to apply for the
RTP Research Fellow – Digital Pathology
role at Mayo Clinic Healthcare Why Mayo Clinic: Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. We are dedicated to our patients and our employees, offering competitive compensation and comprehensive benefit plans, ongoing education, and advancement opportunities for a long, successful career with Mayo Clinic. Responsibilities
Assist in the development of impactful software tools and AI: Work with AI scientists and programmers to utilize your expertise in morphologic interpretation and pathology reporting to develop, implement, and evaluate vision and multimodal transformers and task-specific pathology models. Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of AI scientists, data scientists and engineers and pathologists. Drive growth and visibility: Help shape the direction and culture of MCDP as a new and expanding team. Play a key role in success through pathology expertise, publications, and strategic promotion of the work. Qualifications
M.D. or D.V.M. with residency training experience in Anatomic Pathology Strong morphologic skills and understanding of pathology reporting standards Familiarity with deep learning technologies (e.g., CNNs, transformers) Experience with Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.) Skilled in writing and able to communicate complex scientific ideas clearly and compellingly Self-motivated, execution-focused, and intellectually independent Goal-oriented Comfortable working with real-world, messy, heterogeneous healthcare data A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements
B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field Formal training in Clinical Informatics, Bioinformatics, or a related field Prior experience with AI in healthcare settings Prior experience with digital pathology Details
Exemption Status: Exempt Compensation: $64,079 - $74,963 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 Schedule Details: M-F International Assignment: No Site Description: Mayo Clinic locations include campuses in Phoenix/Scottsdale, AZ; Jacksonville, FL; Rochester, MN; and Mayo Clinic Health System campuses in the Midwest, with international locations. Learn more about each Mayo Clinic campus and fit. 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 information from Form I-9 to confirm work authorization. Recruiter: Janell Mader
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