The Sr Staff Image Data Scientist is responsible for providing technical design, implementation, and operational health of critical analysis platforms in assigned department. Serves as a technology advocate withing the St. Jude image analysis community. Will architect, design and develop image analysis platforms, independently lead engineering discussions and assess impacts to overall technology performance. Will engage with leadership and other internal and external experts.
A Ph.D. or equivalent degree in mathematics, statistics, computer science, neuroscience, physics or a related field.
Strong background in statistical analysis and machine learning algorithms.
Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing.
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and high-performance computing environments is a plus.
Strong expertise in time-series analysis, image and signal processing, and data visualization.
Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team-oriented environment.
Strong communication skills to effe