Opportunities for EECS Students and Alumni
The laboratory of Dr. Daniel Rubin at Stanford Medical School in the Departments of Radiology and Medicine (Biomedical Informatics Research) is seeking highly motivated investigators to develop and study novel approaches in data-driven biomedical research to discover new molecular and imaging biomarkers to revolutionize health and health-care. They are integrating imaging and molecular phenotypes and applying cutting-edge machine learning methods to define subtypes of disease that correlate with survival and that will enable personalizing care. Post-doctoral fellowships are fully funded.
Qualifications: Ideal candidates will have an M.D. and/or Ph.D. with a strong background in bioinformatics, biostatistics/machine learning, and genomics, with an interest in or experience in imaging, and a great publication record. Excellent communication and programming skills, strong problem-solving skills, creative thinking, and the ability to develop algorithms and new software tools are required. A background in computation, molecular biology or medicine, and imaging will be desirable. Prior experience with molecular data analysis, microarray data, and text-mining, will be a plus. Applicants must possess good communication skills and be fluent in both spoken and written English. This exciting work will be guided by multidisciplinary collaborations with top scientists in cancer and imaging research at Stanford and elsewhere. To apply, please send your CV, a brief statement of research interests, and contact information for three references to rubin‐lab at email@example.com
For more information and how to apply, check out their website