Postdoctoral Scholar – AI for Radiology, Pathology, Precision Oncology

Tuesday 16th August 2022

Organization Stanford University
Location Stanford, CA
Title Postdoctoral Scholar – AI for Radiology, Pathology, Precision Oncology
URL http://med.stanford.edu/lilab
Email Address rli2@stanford.edu
Description The Integrative Imaging and Molecular Diagnostics Lab at Stanford University School of Medicine is recruiting a doctoral-level research scholar. Highly qualified candidates may be appointed as Instructor at Stanford University.

Major focus of the Lab is to develop AI and machine learning approach for the prediction of treatment response and prognosis for precision cancer medicine. Recent work from the lab has been published in premier basic science journals such as Nature Machine Intelligence, Nature Communications, as well as in high-impact clinical journals including Lancet Digital Health (2021, 2022), JAMA Oncology, Annals of Oncology, Annals of Surgery, Radiology, etc. The lab is funded by 3 active NIH R01 grants. For more information, please visit http://med.stanford.edu/lilab

The project involves the development of machine learning and deep learning approaches for analysis of radiology and histopathology images, including routine H&E, IHC, and multiplex immunofluorescence imaging. This information will be integrated with genomics and transcriptomics data to predict treatment response and outcomes. We closely work with a multidisciplinary expert team of computer scientists and clinicians including surgeons, pathologists, and oncologists at Stanford.

Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation to solve biomedical problems, or a PhD in biomedical sciences with a strong interest to apply AI and machine learning approaches. The ideal candidates will have strong analytic and computational skills, as well as prior experience in pathology image analysis.

Postdocs and students in the lab have gone on to establish their own independent labs in academia. Recent lab trainees have secured tenure-track faculty positions in the UT MD Anderson Cancer Center and Shanghai Jiaotong University in China. Major awards to postdocs include the prestigious NIH K99/R00 Pathway to Independence Award, ASTRO Clinical/Basic Science Research Award, and Basic/Translational Science Award.

Interested applicants should send a research statement, CV, and names of three references to: rli2@stanford.edu