The Biomedical Imaging Research Institute (BIRI) at Cedars-Sinai is looking for a data scientist with experience in developing algorithms for analyzing and integrating medical imaging data at BIRI. The successful applicant will lead current and future research projects related to cardiac, cancer, and/or neurovascular image processing. The applicant will be knowledgeable in using artificial intelligence (machine learning/deep learning) methods to derive health insights from imaging data. Specifically, this person will bring “big data” experience to develop and deploy statistical modeling and analysis on the large amounts of medical images (MRI, CT, PET/SPECT, or other medical images) that will be generated by the wellness imaging program.Educational Requirements:
PhD in Applied Math, Statistics, Computer Science or related field
- Experience in both biostatistics and scientific computation
- Excellent understanding of machine learning techniques and algorithms; direct experience with deep learning a plus.
- Experience with common data science toolkits, such as TensorFlow, R, MatLab, etc
- Experience working with and creating data architectures
Apply on company website