Careers at DSI
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
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.
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.
Research Scientists and Scholars
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.
We seek research scientists who will serve as Columbia’s resident experts to foster collaborations with faculty across all the schools at Columbia University.
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.
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
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.
Reporting to the Executive Director and Operations / Communications Manager, Northeast Big Data Innovation Hub (NEBD Hub), Data Science Institute (DSI), Columbia University, the grant-funded position of the National Student Data Corps Program Coordinator will be a key member of the Hub team. The Program Coordinator will support Hub operations for the National Student Data Corps program (NSDC), coordinating with other Hub team members on communications, event management, and project development. The NSDC is a community-developed initiative that teaches data science fundamentals to students from the Northeastern United States and around the world, with a special focus on underserved institutions and students. (https://nebigdatahub.org/nsdc)
The successful candidate will be a trusted, collaborative colleague possessing excellent collaboration, communication and organizational skills to effectively interface with the Hub’s numerous stakeholders, and to grow the NSDC.
Learn more and apply below:
The Data Science Institute at Columbia University is a world-leading institute in research and education in theory and practice of the emerging field of data science. The Data Science Institute’s mission involves advancing the state of the art in data science, while ensuring the responsible use of data for the benefit of society. To drive both innovative approaches and best practices for management of an ambitious Trustworthy AI research agenda, the Institute invites candidates for the Technical Project Manager position.
The grant funded position reports to the Avanessians Director of the Data Science Institute. The Technical Project Manager will be responsible for the success of the Trustworthy AI research agenda which comprises a number of research grants stemming from industry, government and foundation.
Learn more and apply below:
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