The Center for Statistics and Machine Learning’s DataX Fund supports the hiring of six data scientists who will create and improve data-analysis software to operate at large scale, leading to faster discovery, wider impact and greater continuity.

These data scientists will work in faculty-led, collaborative, multidisciplinary environments, and leverage their skills to advance the progress of data-driven scientific discovery. Three research areas are of particular interest:

·         Catalysis – led by the Department of Chemistry, in collaboration with other departments including Chemical Engineering, Molecular Biology, and Computer Science.

·         Biomedical Data Science – led by the Department of Computer Science, in collaboration with the Lewis-Sigler Institute for Integrative Genomics, Princeton Neuroscience Institute, and additional engineering departments.

·         Technology Policy – led by the Center for Information Technology Policy.

Prior expertise in the above areas is not required — the data scientists will be mentored in the relevant research area. They will have access to Princeton’s first-class resources and have the opportunity to co-author academic publications.

These are 3-year appointments offering a very competitive salary and excellent opportunities for growth and future career opportunities. The positions are part of the Schmidt DataX project, an initiative made possible by a major gift from Schmidt Futures.

Questions?  Feel free to contact our Project Manager, Ellen DiPippo if you have any questions about the position or process. 

Ready to Apply:  Please use A-Hire, Princeton’s internal job posting system to apply: https://www.princeton.edu/acad-positions/position/13062