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.

All applications must be submitted through Columbia University’s Academic Search and Recruitment (ASR/Interfolio) system.

Please upload a cover letter describing your dissertation, teaching, and research experience, a CV, teaching evaluations, a sample syllabus, and contact information for three references.

Optional Applicant Documents to upload:

Writing Sample/Publication 1;

Writing Sample/Publication 2;

Other Document 1: Statement of Teaching Philosophy