This full-time post-doctoral research fellow position in the Department of Radiology focuses on developing AI-driven models to improve early detection of pancreatic cancer using contrast-enhanced CT images.
Responsibilities include data curation, designing radiomics pipelines, implementing machine learning/deep learning algorithms, evaluating model performance, and contributing to scholarly publications.
The candidate should have proficiency in programming languages (Python, R, MATLAB), a strong background in statistical modeling and deep learning, and a Ph.D. or Master’s in a relevant field with at least one year of data analysis experience.
Salary is $62,132/year, with competitive benefits. The role offers an opportunity to work on innovative AI solutions in medical imaging, collaborating with multidisciplinary teams to advance pancreatic cancer detection and patient outcomes.