Location: Pittsburgh, PA

Description:

The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a Lecturer - Special Faculty (Teaching - Part-time), Fall 2026. This person would be teaching the in-person Statistical Graphics and Visualization course.

The Department is seeking candidates with a passion for Statistics and/or Data Science and a desire to make a significant impact on the Department's educational mission. A successful candidate will be expected to have strong teaching skills. We welcome applicants working in all areas of statistics and data science, as well as related interdisciplinary fields.

Lecturers are responsible for leveraging their expertise to deliver education services to our students through:

• Preparing course plans and materials
• Delivering courses
• Monitoring progress/attendance
• Advising students
• Recording grades and submitting reports
• Sourcing and documenting related data sets

Teaching ratio is approximately 3 hours in class per week; approximately 9 hours outside of class. This class is in-person on the Pittsburgh campus.

Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research.

Qualifications:

Master's or Doctorate degree in a relevant field, or an equivalent amount of professional experience. The instructor should be a practitioner or academic with direct experience with the topic to be covered. Recent experience in teaching prior statistics and/or data science courses at the college/university level preferred.

Apply Now

Location: Pittsburgh, PA

Description:

The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a Lecturer - Special Faculty (Teaching - Part-time), Fall 2026. This person would be teaching the in-person Statistical Graphics and Visualization course.

The Department is seeking candidates with a passion for Statistics and/or Data Science and a desire to make a significant impact on the Department's educational mission. A successful candidate will be expected to have strong teaching skills. We welcome applicants working in all areas of statistics and data science, as well as related interdisciplinary fields.

Lecturers are responsible for leveraging their expertise to deliver education services to our students through:

• Preparing course plans and materials
• Delivering courses
• Monitoring progress/attendance
• Advising students
• Recording grades and submitting reports
• Sourcing and documenting related data sets

Teaching ratio is approximately 3 hours in class per week; approximately 9 hours outside of class. This class is in-person on the Pittsburgh campus.

Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research.

Qualifications:

Master's or Doctorate degree in a relevant field, or an equivalent amount of professional experience. The instructor should be a practitioner or academic with direct experience with the topic to be covered. Recent experience in teaching prior statistics and/or data science courses at the college/university level preferred.

Apply Now