Assistant Professor, Tenure track, Department of Statistical Science

Baylor University:
Office of the Provost:
Arts and Sciences:
Arts and Sciences - Sciences:
Statistical Science Location

Waco, TX

Jul 13, 2026

The Department of Statistical Science at Baylor University invites applications for a tenure-track faculty position starting in Fall 2027 at the Assistant Professor rank.

The successful applicant will join our dynamic faculty in helping to advance our core mission to provide quality statistics instruction at all levels, to make significant contributions to the discovery and dissemination of statistical knowledge, and to develop, within a Christian environment, ethical scholars, skilled professionals, and educated leaders who are sensitive to the needs of society. Successful candidates are expected to establish and maintain external funding to support their program of research at a level consistent with those at peer R1 institutions.

Faculty in the Department are supportive and eager to collaborate.

Candidates who are outside of the United States and do not have other nonimmigrant visa status will not be sponsored for an H‑1B petition.

About Baylor University: Baylor University is located in Waco, Texas and is the oldest college in the state. It has a diverse student population of 21,000 and is recognized as an R1 institution by the Carnegie Classification. Baylor is also noted on the honor roll of "Great Colleges to Work For" by Modern Think. We offer competitive salaries and benefits, allowing faculty and staff to live in one of the fastest‑growing parts of the state.

As a Christian university with historic Baptist roots and as reflected in the Notice of Non‑Discrimination, Baylor strives to be a place characterized by civility and respect. We believe each student, faculty, staff, and administrator is made in the image of God. Baylor's new strategic plan, Baylor in Deeds, guides the University as it continues its mission of educating men and women for worldwide leadership and service by integrating academic excellence and Christian commitment within a caring community.

Candidates must possess a doctoral degree in statistics or a related discipline by the time of the appointment.

We prefer candidates with:

• Demonstrated research interests and accomplishments in data science and/or biostatistics.
• A sustained record of or demonstration of potential for research excellence and continued research productivity.
• The ability and interest to teach undergraduate and graduate students, and to provide research mentorship to students in our doctoral program.

Please submit the following materials electronically via Interfolio:

• A letter of application (cover letter);
• A statement of research interests;
• A statement of teaching philosophy, experience, and interest;
• A copy of the official transcript from the highest‑degree granting institution (if the doctorate is in progress, a copy of the official transcript of completed doctoral hours should be submitted);
• The contact information for three individuals who will provide letters of recommendation through Interfolio by the due date.

As part of the application process, all applicants must complete a self‑disclosed Religious Affiliation Form.

All materials must be received by 11 PM Central on 10/15/2026. Questions concerning the position should be directed to Search Committee Chair Dr. David Kahle at  .

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Baylor University, a private not‑for‑profit university affiliated with the Baptist General Convention of Texas, is committed to compliance with all applicable anti‑discrimination laws, including those regarding age, race, color, sex, national origin, military service, genetic information, and disability. Baylor complies with statutory affirmative action/equal opportunity requirements. Baylor's full official Notice of Non‑Discrimination may be read online.