Lecturer in Discipline

Columbia University's Quantitative Methods in the Social Sciences (QMSS) MA program invites applications for a position at the rank of Lecturer in Discipline to begin on July 1, 2026. The successful candidate will be appointed by the academic department in the Faculty of Arts and Sciences relevant to the incumbent's own field. The Lecturer will teach a number of graduate-level research methods and data science courses and will be appointed by the academic department in the Faculty of Arts and Sciences. Thesis advising and leading lab sessions are also expected. This is a full-time, non-tenure-track, three-year position. A Ph.D. in a social science discipline (or broadly related field) at the time of appointment is required, preferably with a specialization in applied statistics, data science methods, and coding in multiple statistical software languages. Demonstrated ability in teaching at the undergraduate or graduate level is required.

Ph.D.

Minimum Qualifications:

All candidates must have demonstrated excellence as scholars and teachers. The successful candidate will have a deep commitment to graduate training and teaching, along with excellent judgment and strong interpersonal skills.

Preferred Qualifications:

Specialization in applied statistics, data science, machine learning, text analysis, and familiarity with coding in R and/or Python.

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.