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Data Scientist - Digital Pathology
The ideal candidate will have digital pathology experience.
The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report’s 2024-2025 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.
JOB SPECIFIC COMPETENCIES
Develop impact-driven AI technologies for pathology
Develop and maintain computational methods using deep learning for pathological image processing.
Work with a high interdisciplinary team to generate biologically meaningful results and work towards clinical implementation of AI technology for oncology.
Develop key performance metrics to demonstrate image processing accuracy.
Keep current and evaluate state-of-the-art methods and tools, establish and help maintain computational infrastructure and analytic pipelines.
Participate in the design of pathology/biological/sequencing experiment to generate high quality data for machine learning.
Present results in collaboration meetings, internal and external conferences.
Prioritize and manage multiple projects in a timely and resource efficient manner.
Organize and provide up-to-date documentation for data and code, and help write scientific publications and reports.
Other Other duties as assigned