Schmidt Data Scientist Positions at Princeton University

Do you know someone that has a strong background in scientific programming, academic research, and are eager to contribute to groundbreaking research? Do they love to write code and analyze data? Then please encourage them to consider joining our growing team of data scientists!

The Center for Statistics and Machine Learning’s DataX Fund supports hiring 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. They will have access to Princeton’s first-class resources and have the opportunity to co-author academic publications.

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.

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/15201