Yale University, in partnership with Boehringer Ingelheim, has announced the launch of a Biomedical Data Science Fellowship program designed to attract and support some of the brightest and most innovative minds in data science from around the world.

Post-doctoral researchers awarded a three-year fellowship will have access to Yale’s robust computational resources, biomedical data repositories and faculty expertise. In addition, they will benefit from access to Boehringer Ingelheim’s corporate labs, scientists and executives. Applicants are invited to submit research proposals for consideration by June 15.

If approved for a fellowship, they will be jointly mentored throughout the research process by industry experts and scientists from Boehringer Ingelheim — one of the world’s leading pharmaceutical companies — as well as Yale’s world-class researchers and scholars. Fellowship training begins Sept. 1.

The program will be based at the Yale Center for Biomedical Data Science (CBDS) in New Haven, Connecticut. The center is an essential part of a growing data science hub at Yale University, which has identified integrated data science as one of its primary investment areas over the next decade. CBDS is located within Yale School of Medicine and currently supports more than 100 faculty members and researchers representing such disciplines as bioinformatics, modeling, statistics, computer science, artificial intelligence, mathematics, biology, precision medicine and public health.