Lecturer in Discipline

The Department of Statistics invites applications for a Lecturer in Discipline position to begin July 1, 2025. This is a full-time appointment with multi-year renewal contingent on successful reviews. The position will contribute to the Departmental educational mission at the undergraduate and master's level.

Lecturers in Discipline are officers in the University who meet a programmatic need for instruction in specialized fields. The selected candidates will be expected to teach up to 3 courses per semester. A Ph.D. in Statistics or related field by the date of appointment and a commitment to high-quality teaching at both the undergraduate and MA levels in Statistics and/or Probability are required. Candidates will be expected to participate in the full gamut of statistics education including curriculum improvement, modifying and developing courses, and exploring new strategies for the teaching of statistics. We are particularly seeking candidates with expertise in applied statistics, data science, and the application of statistical methods across a variety of disciplines and sectors.

The Department currently consists of 40 faculty members, 73 PhD students, and over 300 MA students. The Department has been expanding rapidly and, like the University itself, is an extraordinarily vibrant academic community. We are especially interested in candidates who through their research, teaching and/or service will contribute to the diversity and excellence of the academic community. Women and minorities are especially encouraged to apply. For further information about the Department and our programs, please go to our webpage at: http://www.stat.columbia.edu

Ph.D. in statistics or a related field by the date of appointment, as is a commitment to high quality research and teaching in statistics and/or probability.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.