RESEARCH FELLOW-- Artificial Intelligence

Key Skills

Aartificial intelligence, C++, Computer Vision (CV), Effective communication skills, English Proficiency, Machine learning techniques, MATLAB Programming, Natural Language Processing (NLP), Presentation skills, Python Programming

Job Description

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 benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

Responsibilities

The Machine Intelligence in Medicine and Imaging Lab at Mayo Clinic, Arizona is searching for several postdoctoral research scholars. The lab is led by Dr. Bhavik Patel, who is also affiliated with the Ira A. Fulton Schools of Engineering, Arizona State University. The Machine Intelligence in Medicine and Imaging Lab focuses on cutting‐edge research at the intersection of imaging science and biomedical informatics, developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health (early detection and prediction of future disease).

Research Fellows for this position will:

• Develop foundational AI methods for analyzing and extracting information from clinical texts and imaging.
• Assist in advancing clinical prediction models using multi-modal and longitudinal electronic medical records (EMR) and radiological scan data. The scholar will deploy and evaluate these methods as clinical applications to transform medical care.
• Participate in multidisciplinary teams to design, develop, implement, and validate 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.

To be successful, the candidate should have:

• Imaging science experience with knowledge of Matlab, Python and C++.
• Excellent communication skills both verbally and written.
• First authored and/or co-authored publications from graduate or postgraduate training.
• A background in biomedical informatics and/or data science will be beneficial.

A Research Fellow in Engineering (ENG) is based on role and responsibilities requiring Engineering skills regardless of Ph.D. background. Main skills used in this track may include setting up mechanical research equipment, developing experimental protocols, biomechanics development in orthopedics, implementing protocols, and/or providing engineering technical expertise and analysis. Responsibilities (depending upon area of research) may also involve use of x-ray computed tomography (CT), radiation dosimetry, x-ray physics, and proficiency in Matlab and/or C++ programs. May work in a special engineering group, process and test algorithms, informatics, data for computer programming, and implement algorithms to apply to concepts, research, and clinical applications and devices.

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.

Qualifications

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.

Additional Qualifications:

• Post-graduate degree (PhD or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging
• Experience in machine learning and AI, particularly in computer vision and NLP
• Strong record of distinguished scholarly achievement
• Outstanding communication and presentation skills with fluency in spoken and written English
• Established record of distinguished scholarly achievement