Data Science Lead

Description

This position will have responsibility for leading the querying, cleanup, enhancement and discovery of the UCSF-JHU Opioid Industry Document Archive's millions of digital documents at scale.  We have both internal needs -- enhancing our metadata and building new data-driven discovery tools -- and growing externally facing needs as we prepare to announce support for researchers who want to work with the raw data behind OIDA.  This role will coordinate between members of our team, researchers at our universities, and outside firms to apply computer vision, machine learning, AI, and more to make OIDA more usable and useful, with greater impact on society.