Lecturer, Statistics and Data Science

Lecturer Position in Statistics and Data Science

The Department of Statistics and Data Science at Yale University is seeking applicants for a full-time teaching faculty position at the rank of Lecturer with an anticipated start date of July 1, 2027. Salary will be based on qualifications and experience. We are looking for candidates with strong teaching skills, a passion for teaching, and experience or interest in innovative pedagogy.

Successful candidates will contribute creatively to the teaching and further development of our Statistics & Data Science programs, particularly those courses and experiences oriented towards data analysis and interdisciplinary collaboration. In addition to courses for Statistics & Data Science majors, this position will be involved in the teaching of courses in Statistics and Data Science for students of diverse backgrounds and interests throughout the university.

The teaching load will be two classes per semester.

Qualifications

The appointee must hold a Ph.D. or equivalent degree or have completed all requirements for that degree by the time of hire.

Application Instructions Interested candidates should submit the following materials online:

• A cover letter expressing interest in the position
• A teaching statement detailing teaching philosophy, experience, and the types of courses they are best suited to teach
• A current curriculum vitae
• Three letters of recommendation to be submitted electronically via Interfolio. At least two of these letters should explicitly address the candidate's teaching effectiveness, pedagogical style, and communication skills in undergraduate statistics and data science courses.
• All teaching evaluations for up to the last five years
• Optional materials could include evidence of teaching interest, experience, and effectiveness.

Questions about the application can be directed to Ms. Cheri Cercone, Faculty and Academic Affairs Assistant, at . Applications will be accepted until the position is filled. To ensure full consideration, please submit all materials by Oct 15, 2026.