Research Scientist

19 hours ago


Phoenix, Arizona, United States Mayo Clinic Full time

Research Opportunities at Mayo Clinic

Mayo Clinic is a world-renowned medical institution that values innovation and excellence in research. We are seeking a highly skilled Research Fellow to join our team and contribute to cutting-edge projects in machine intelligence and medicine.

The Machine Intelligence in Medicine and Imaging Lab at Mayo Clinic, Arizona is a leading research group that focuses on developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health. As a Research Fellow, you will have the opportunity to work on a variety of projects, including developing foundational AI methods for analyzing and extracting information from clinical texts and imaging, advancing clinical prediction models using multi-modal and longitudinal electronic medical records, and participating in multidisciplinary teams to design, develop, and implement pioneering AI-based approaches to solve complex data problems in medical imaging.

To be successful in this role, you should have a strong background in biomedical informatics, computer science, or a related field, with experience in machine learning and AI, particularly in computer vision and NLP. You should also have excellent communication and presentation skills, with fluency in spoken and written English.

Responsibilities

  • Develop and apply AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health.
  • Advance clinical prediction models using multi-modal and longitudinal electronic medical records.
  • Participate in multidisciplinary teams to design, develop, and implement pioneering AI-based approaches to solve complex data problems in medical imaging.
  • Apply for and obtain extramural funding to support projects focusing on AI applications in medical imaging.

Requirements

  • Ph.D. or equivalent doctoral degree in a field deemed relevant by the program.
  • Experience in machine learning and AI, particularly in computer vision and NLP.
  • Strong background in biomedical informatics, computer science, or a related field.
  • Excellent communication and presentation skills, with fluency in spoken and written English.


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