Charlene Ong

Boston University is recruiting a Postdoctoral Fellow in Machine Learning for Acute Brain Injury , in collaboration with VA Boston and the VITAL ARC multidisciplinary research group. The fellow will analyze large clinical datasets from Boston Medical Center/Boston University and the VA, focusing on traumatic brain injury and large ischemic stroke. Research areas include cohort construction, imaging-informed subphenotyping, and prediction of cerebral edema, neurologic deterioration, and long-term outcomes. Responsibilities include leading analyses and first-author papers, developing and validating models using electronic health records, imaging, and physiologic data, helping design prospective ICU validation studies, mentoring analysts and students, and contributing to grant applications. The position offers mentorship in grant writing and career development. Applicants should have a PhD in biomedical informatics, biostatistics, epidemiology, computer science, engineering, or a related discipline; strong Python or R skills; practical machine learning experience; and experience with large EHR databases or neuroimaging. A publication record and interest in developing an independent research career are expected. Eligibility for a VA appointment and U.S. citizenship are required. To apply, email a CV, a short research-interest statement, and two or three references to [email protected].