The primary purpose of the Associate Data Scientist position is to provide support for building automated image interpretation tools and the extraction of tumor measurements to fulfill the TMI objective. This activity is an important sub-component of the overall function of TMI and requires a combination of computational skill and technical expertise.
This individual will have demonstrated experience with programming languages and scripting methods (Python, MATLAB, C++, CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and image analysis.
Successful candidates will develop computational methods using AI and deep learning, conduct data analysis and interpretation, collaborate with other data scientists, IT personnel and faculty together to address key clinical challenges that impact our patients.
Technical Expertise
Working with researchers to develop, adapt, and implement computational methods by applying deep learning methods and architectures for the datasets.
Working with minimal oversight with researchers in analyzing, defining, and resolving analytical problems and bugs.
