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.
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The Data Science Institute of Columbia University invites applications for research scientists at all levels: Associate Research Scientist, Research Scientist, and Senior Research Scientist. This position is endowed and the holder will be named a Herbert and Florence Irving Cancer Research Data Scientist. A successful candidate will serve as a resident expert in data science whose research interests are specifically focused on advancing and applying data science to understanding cancer. The incumbent will foster collaborations with world-class faculty across Columbia’s schools, centers and institutes in order to guide, plan and execute data science research and technological innovation in cancer-related research.
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The Department of Computer Science at Columbia University in the City of New York invites applications for faculty at the rank of Lecturer in Discipline or Senior Lecturer in Discipline in Data Science beginning in the 2025-26 academic year. Lecturers in Discipline are full-time non-tenure-track faculty members whose primary responsibility is teaching. Join our dynamic team, where you’ll work closely with world-class faculty and contribute to cutting-edge research and education in Data Science.
Lecturers in the department enjoy voting rights at faculty meetings, serve on department committees, and earn a Dean’s Leave on a timeline similar to that of tenure-track faculty, offering excellent opportunities for professional development and career advancement. The Department of Computer Science is committed to hiring outstanding teachers to support the growing needs of its exceptionally strong undergraduate and graduate programs. Teaching responsibilities will center on courses in the MS in Data Science program, with a balanced teaching load of two courses per semester.
The Associate Director establishes and maintains relationships with employers, industry partners, and alumni to drive internship and full-time career placement opportunities for students in the Master of Science Data Science program at Columbia University. They will act as a liaison between the Data Science Institute and employers, advocating for students’ capabilities and fostering a pipeline of career recruitment opportunities in data-driven and technology industries. The Associate Director has three main key goals, including (1) match and place as many students in the defined cohort in full-time and internship opportunities; (2) develop leads to generate career opportunities for students; and (3) develop key employer partnerships to foster placement of students and engagement with the Institute.
The Data Science Institute at Columbia University is seeking an experienced Executive Director of Research to lead strategic research initiatives and oversee both pre-award proposal development and post-award management teams. This senior leadership role involves collaborating with faculty across Columbia’s 17 schools to secure large-scale funding opportunities, develop aligned research agendas, and drive interdisciplinary partnerships. The ideal candidate will bring 8-10 years of experience in research administration, expertise in grant processes, and strong leadership capabilities. This is a unique opportunity to contribute to the advancement of data science research at a premier academic institution.
Reporting to the Director of Human Resources, the Human Resources Manager plays a key role in the management of all human resource functions at the Data Science Institute (DSI). Key responsibilities include the management and execution of recruitment, onboarding, and HR operations processes. This position serves as the main point of contact for the Human Resources team, responding to all inquiries and escalating to the Director as necessary.
We use the tagline “Data for Good” to capture succinctly the who, what, when, why, and how of data science at Columbia.
We have accelerated the pace of discovery by working on five of society’s most challenging problems.
We train the next generation of data scientists, develop innovative technology, and collaborate to advance techniques.