Machine Learning Fellowship - FDA/UCSF/Stanford

An opportunity is available at the U.S. Food and Drug Administration (FDA), Center for Drug Evaluation and Research (CDER) in Silver Spring, Maryland and Stanford University/University of California, San Francisco. The office of clinical pharmacology (OCP) at the U.S. FDA is launching an Artificial Intelligence (AI) initiative to support the healthcare applications of this technology as an emerging frontier in regulatory decision making. As part of this initiative, OCP is partnering with the UCSF-Stanford Centers of Excellence in Regulatory Science and Innovation (CERSIs) to offer a one year ORISE (Oak Ridge Institute for Science and Education) fellowship opportunity for an interested participant to conduct high impact regulatory science research. This AI fellowship provides the opportunity for an outstanding individual to train in collaboration closely with scientists at both Stanford University/UCSF, and the FDA to conduct research that will advance new drug development and promote public health. During participation in this program, the Fellow will engage in various activities that include but are not limited to the applications of AI/machine learning (ML) for precision medicine, drug development and regulatory science. The opportunity details can be found: https://www.zintellect.com/Opportunity/Details/FDA-CDER-2019-0355