Postdoctoral Fellow - Biomedical Data Science, Radiology, and Medicine

Job description

Postdoctoral Fellow Position

Departments of Biomedical Data Science, Radiology, and Medicine, Stanford University

The Laboratory of Quantitative Imaging and Artificial Intelligence (QIAI; at Stanford University is recruiting a postdoctoral scholar. The QIAI Laboratory is led by Dr. Daniel Rubin in the Departments of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics Research) and affiliated with the Center for Artificial Intelligence in Medicine and Imaging (AIMI) and the Stanford Cancer Institute. The lab focuses on cuttingedge research AI methods to leverage large amounts of medical data for discovery and precision medicine. The QIAI lab provides a unique multidisciplinary environment for conducting innovative AI-based healthcare research, and it produces many publications in top scientific journals in projects that include foundational methodology development, translation to transform patient care, and clinical evaluation. It also provide many opportunities for collaboration with local and international researchers.

The postdoctoral scholar will develop AI methods for making clinical predictions (e.g., best treatments and clinical outcomes) by leveraging large electronic medical record datasets (texts and images), leading to impactful clinical applications that will improve medical care. A focus will be developing novel, foundational computer science methods, including multi-modal and multi-task learning, weak supervision with noisy or sparse labels, feature extraction from clinical text, observational AI approaches, and distributed deep learning. There will also be opportunity for clinical translation and evaluation of methods developed to solve important clinical problems. Projects will be able to bridge a spectrum of clinical medicine, including radiology, pathology, ophthalmology, and oncology, being done with multidisciplinary collaborations with top scientists at Stanford as well as with other institutions internationally.

A unique aspect of the QIAI lab is that it provides resources and numerous opportunities for professional career development, including mentorship in developing new directions for research, coaching in grant writing, many opportunities for leading scientific publications in major journals, invited and submitted scientific presentations, and teaching, tailored to the candidate's goals to prepare for scientific independence.

Requirements include a graduate degree (MD or PhD, completed or nearly completed) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field), experience in AI research, and a strong record of scholarly achievement with excellent communication and presentation skills and fluency in spoken and written English.

Interested applicants should submit a Curriculum Vitae and a 2-3 page statement of research interests in one PDF document to [email protected] .

Stanford University is an affirmative action, equal opportunity employer.

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Job No:
Posted: 1/16/2019
Application Due: 3/18/2019
Work Type: