Yale University, Statistics and Data Science

Position ID: YaleU-FACULTY [#24413]
Position Title: Preceptor, Statistics and Data Science
Position Type: Non tenure-track faculty
Position Location: New Haven, Connecticut 06511, United States [map] sort by distance
Subject Area: Statistics and Data Science
Application Deadline: 2024/07/01 11:59PMhelp popup (posted 2024/03/05, listed until 2024/07/01)
Position Description:    

Yale University invites applications for four Data Science Preceptor positions. As part of Yale's commitment to excellence in the teaching of Statistics and Data Science (S&DS), the newly launched Data Science Preceptor Program aims to enhance Data Science education across a diverse suite of courses, including introductory courses in S&DS offered by the S&DS Department and interdisciplinary "Data Science Connector" courses offered by departments throughout the university. These connector courses, which are continually being created and developed, apply S&DS methodologies to topics from the social sciences, sciences, engineering, and humanities. Courses in this program will include computing using R or Python, and a part of the role of preceptors is to facilitate and participate in the teaching of computing arising in these courses. Preceptors will be selected for their demonstrated expertise and potential in S&DS pedagogy. The program seeks two types of preceptors: those assisting with the introductory S&DS courses and those contributing to the development and delivery of connector courses. This initiative offers a unique opportunity for professionals at various stages of their careers, from seasoned PhD holders in data science and related fields to quantitatively skilled candidates with bachelor’s degrees, who are eager to contribute to an innovative teaching environment. Preceptors will collaborate with faculty, and with each other, to develop and refine course materials and pedagogical techniques.

Qualifications • A PhD is preferred. However, we recognize that excellence in teaching and application of S&DS can come with a variety of backgrounds. While candidates with a PhD in fields related to S&DS (such as sociology, political science, psychology, economics, biology and computer science) are highly valued, we also seek qualities including dedication, organizational skills, and particularly a passion for teaching and engaging with students. Accordingly, candidates with strong S&DS skills holding master's or bachelor's degrees who share our enthusiasm for S&DS education are also eligible to apply. • Demonstrated interest, experience, or potential for excellence in teaching and pedagogy. • Experience with Python and/or R programming and applications to data science. 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, the types of courses they are best suited to teach, and how the candidate plans to contribute to the Data Science Preceptor Program at Yale. • A current curriculum vitae. • A list of three references with contact information. • Optional materials could include course evaluations or other evidence of teaching interest, experience, and effectiveness. Salary is dependent on education and/or experience (10-month appointment, renewable based on successful annual performance).

Applications should be submitted through Interfolio at http://apply.interfolio.com/141565

Review of applications will begin April 1, 2024. Applications will be accepted through July 1, 2024, with an anticipated start date of August 1, 2024.

Equal Employment Opportunity Statement Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.


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Contact: Cheri Cercone, Faculty and Academic Affairs Assistant
Email: email address
Postal Mail:
Cheri Cercone, Faculty & Academic Affairs Asst.
PO Box 208290
New Haven, CT 06520-8290
Web Page: https://statistics.yale.edu/