An NIH-funded data scientist position is available in Prof. Gaurav Pandey’s (http://research.mssm.edu/gpandey/) lab at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the design and implementation of novel machine/deep learning algorithms to predict disease phenotypes from a variety and large amounts of clinical data, such as audio recordings, structured EHR data and clinical notes. The responsibilities of the position include preparing robust implementation of these algorithms in a big data environment, especially large high-performance computing clusters. This work will be conducted in close collaboration with Profs. Alex Federman and Juan Wisnivesky’s groups in the Department of General Internal Medicine, as well as several other departments at Mount Sinai.
The selected candidate will be able to contribute to the ongoing projects in both the labs and the Institute, as well as define his/her own projects.