Biomedical Ai Jobs in Raleigh, NC (NOW HIRING)

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

Position Summary:
Duke University is a world-renowned research institution. Currently, we are looking for a Associate in Research with expertise in deep learning to participate in a research program focused on development of machine learning tools and their application to medical imaging.

Key Responsibilities:

The Associate in Research will apply their technical skills toward the development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI researchers and physicians work together to solve important clinical problems. The current and prior work of our team includes the development and evaluation of foundation models as well as deep learning algorithms for detection, segmentation, and classification. We are currently working on problems in the domains of radiology, surgery, cardiology, and oncology. This appointment will allow the candidate to improve their engineering skills while becoming familiar with current healthcare problems.

Career development benefits:

Duke University is committed to mentoring and supporting young investigators. It offers multiple professional development seminars on topics including preparation of grant applications, academic promotion, presentation skills, writing, alternative career paths and other topics that will prepare the Research Associate for the future career in academia or industry. Dr. Mazurowski's laboratory has a strong track record of publications by the trainees and the trainees of the Mazurowski lab have found strong positions after completing their training in the lab including faculty positions at leading institutions.

 

Minimum Qualifications: The candidate should hold a Ph.D. (or equivalent) in computer science, electrical engineering, biomedical engineering, statistics, or a related field. Experience includes (1) expertise and experience in machine learning, (2) proficiency in computer programming, (3) good verbal and written communication skills. Prior publications on the topics of machine learning, computer vision, and medical imaging are preferred.

 

Appointment Details:

• Full-time, 12-month position with possibility of renewal.