• Lecturer - Special Faculty (Part Time)

    Carnegie Mellon University (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), Spring 2026. This person would be teaching courses and/or supervising projects in areas such as statistical graphics & visualization and sports analytics.

     

    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

     

    The standard class-teaching ratio is approximately three hours in class per week and approximately nine hours outside of class.

     

    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.

     

    Application Instructions

    Applicants for this position should submit the following materials:

    + A cover letter of intent that describes their interest in the position and potential contributions to the academic and broader community.

    + Curriculum vitae.

    + Teaching statement that reflects the applicant’s approach to wide-ranging and effective instruction.

    + Unofficial transcripts.

     

    Applicants may also include additional materials—such as a website, list of previous courses taught, or research portfolio—to further support their application.

    Equal Employment Opportunity Statement

    **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.