The Integrative Personalized Medicine Laboratory in the Department of Radiology at Stanford (http://pimed.stanford.edu) and the Urologic Cancer Innovation Lab in the Department of Urology at Stanford (https://med.stanford.edu/ucil.html) have one (1) opening for a highly creative and motivated postdoctoral scholar with an interest in advanced image processing and machine learning methods to assess disease presence, progression and treatment response for clinical applications. The projects are focused on identifying radiologic signatures of cancers and aggressive diseases via multi-modal data fusion, such as radiology-pathology integration and radiogenomics. Although the developed methods are meant to be general and not specific to a certain disease, their application is focused on critical and relevant clinical problems for prostate cancer. The projects have the potential for highly informative and very productive findings in terms of publication and innovative clinical implications and will be clinically implemented if successful. The successful candidate will join the Department of Radiology, Division of Integrative Biomedical Imaging Informatics at Stanford University or the Department of Urology, and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and students. This position is available immediately.
In our team, we believe in the value of diversity in helping us solve complex clinical problems. If you are part of a minority group, we strongly encourage you to apply. Feel free to reach out to us if you have any questions.
- Candidates must have a Ph.D. in Biomedical Informatics or related fields; They must be proficient in image processing and machine learning methods applied to medical data, e.g., radiology, pathology, or genomics.
- Candidates must have prior experience in software development and C++/python programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn.
- Candidates with experience in radiomics, radiogenomics, image registration and prostate cancer research are strongly encouraged to apply. Experienced with prostate cancer research is not required.
- Candidates should have demonstrated ability to work independently, attention to details, be dedicated, and self-motivated. Collaborative team spirit, strong communication skills, positive attitude, and adherence to highest ethical principles are necessary to be considered.
1. An updated resume
2. Complete contact information for three references
3. Cover letter describing past research experience, career goals and future research interests