Careers at DSI
DSI Careers
Job Postings
The Institute’s postdoctoral and research scientists help anchor Columbia’s presence as a leader in data science research and applications and serve as resident experts in fostering collaborations with the world-class faculty across all schools at the University. They will also guide, plan, and execute data science research, applications, and technological innovations to address societal challenges and related University-wide initiatives.
Postdoctoral Research Scientists
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The Data Science Institute (DSI) at Columbia University invites applications for the position of a Data Post-Doctoral Scientist. The post-doc will work on new methods for scalable and privacy-respecting digital identity systems. These systems will provide digital identities suitable for low-infrastructure environments, used to facilitate access to resources such as medical care, education and food assistance. The candidate will evaluate existing digital identity proposals, identify gaps in capabilities, develop new components of identity systems, work with external stakeholders and experts in privacy and international development, and prototype digital identity components or systems.
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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.
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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:
Research Scientists and Scholars
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We seek research scientists who will conduct independent cutting-edge research in the foundations and/or application of data science or related fields, and/or be involved in interdisciplinary research through a collaboration between the Data Science Institute and the various schools at the University.
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We seek research scientists who will serve as Columbia’s resident experts to foster collaborations with faculty across all the schools at Columbia University.
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The Data Science Institute is looking for a Staff Associate III (Research Software Engineer) eager to work in an academic environment towards this goal, at the cutting edge of probabilistic programming, causal inference, program synthesis and machine learning. Specifically, this role is to develop and engineer algorithms, languages and systems for causal probabilistic programming.
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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.
Administrative and Technical Staff
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Application Deadline: Monday, March 14, 2022Open to: Columbia University graduate students. Please use your UNI when applying.
We’re looking for a Columbia University graduate student assistant to support events and activities across The Data Science Institute! The Events GA would also support Data Science Day, DSI’s flagship annual event. Candidates should have a background in logistics and administration, and a willingness to learn about event strategy, communications, and marketing.
This is an hourly paid position that would report to Alexis Avedisian (aa4598) DSI’s Assistant Director of Events and Special Programs. The position would be 5-10 hours per week depending on event volume, with special projects assigned. .
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The COVID Information Commons (CIC) Program Manager is a grant-funded position. The incumbent will be responsible for project and program management for successful development of the CIC extensions as funded through NSF Award #2139391 to include the addition of thousands of new NSF funded COVID awards, and COVID grants from other federal agencies such as NIH, as well as advanced search and discovery of resources around the world. In this role they will work closely with the Northeast Big Data Innovation Hub (NEBDHub)’s Executive Director (also the PI of the CIC), NEBDHub Operations & Communications Manager, CIC System Architect (SA), Software Developers, Metadata Curator, Columbia University Information Technology (CUIT), and Columbia University Libraries team members.
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The Data Science Institute at Columbia University is a world-leading institute in research and education in the theory and practice of the emerging field of data science. The Data Science Institute’s mission is to advance the state of the art in data science, while ensuring the responsible use of data for the benefit of society. As part of this mission, the Institute is partnering with the Partnership for Public Service, a nonpartisan, nonprofit organization that leads proactive efforts to make the federal government more effective, convening stakeholders from across the public and private sectors to solve critical management challenges and deliver results. To drive both innovative approaches and best practices for management of an ambitious data and insights strategy in the public sector, the Institute invites candidates for the Executive in Residence position.
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Data for Good
We use the tagline “Data for Good” to capture succinctly the who, what, when, why, and how of data science at Columbia.
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