Careers at DSI

Postdoctoral Research Scientists

• The Columbia University Data Science Institute Data and Cancer Collaboratory Post-Doctoral Scientist

  The Data Science Institute (DSI) at Columbia University invites applications for the position of a Data and Cancer Post-Doctoral Scientist. The recipient of this two-year research position will be embedded in a Columbia University Irving Medical Center (CUIMC) cancer tumor board, an interdisciplinary board of clinicians reviewing plans of care for complex cancer tumor cases using state-of-the-art genomic, imaging analysis, and natural language processing where appropriate.

   

  Apply Now

• Postdoctoral Researcher (Project: Examining exposure to racial violence against Black people via media and other related exposures)

  We are recruiting a postdoctoral researcher to collaborate for 1-2 years (2nd year contingent on continued funding) on a project examining exposure to racial violence against Black people via media and other related exposures (e.g., Black Lives Matter).

  Ideal candidates may have doctoral training in a quantitative social and behavioral science (e.g., psychology, sociology, political science, economics, communications, media studies) and/or in statistics or data science and will have an interest in data and social justice. In addition to the relevant social competencies and intellectual background and experience, candidates should have relevant quantitative skills (e.g., Natural Language Processing, Sentiment Analysis; Stylometry; Topic Modeling; Time series modeling; Spine Functions, etc.).

   

  For more information please contact either of the project leads:

  • Dr. Colin Wayne Leach
  • Dr. Courtney Cogburn

   

  Apply Now

Research Scientists and Scholars

• Herbert and Florence Irving Cancer Research Data Scientists

  The Data Science Institute seeks fellows who will support our shared mission of improving the understanding of cancer biology, origins, treatment, and prevention through data-driven approaches. We are particularly interested in candidates who will further advance core research in statistics, machine learning, AI and probabilistic modeling.

   

  Apply Now

Administrative and Technical Staff