Assistant to Associate Professor, Tenure Track
The Department of Statistical Science at Baylor University invites applications for a tenure-track faculty position starting in Fall 2026 at either the Assistant or Associate Professor rank. Mid-career candidates with a strong record of scholarly achievement and a record of significant external funding may be considered at the Associate Professor level.
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.
About Baylor University: Located in Waco, Texas, Baylor University is the oldest college in Texas. With a population of 21,000 diverse students, Baylor is one of the top universities in the nation, having been named an R1 institution by the Carnegie Classification in January 2022. Baylor is also on the honor roll of the "Great Colleges to Work For" from The Chronicle of Higher Education; Baylor offers competitive salaries and benefits while allowing faculty and staff to live in one of the fastest-growing parts of the state. Our strategic plan, Baylor in Deeds, guides the university as we continue to live up to Baylor's mission of educating men and women for worldwide leadership and service by integrating academic excellence and Christian commitment within a caring community.
To learn more about the position and/or apply, please see the full advertisement at https://apply.interfolio.com/169878.
Location: Waco, TX
Deadline: October 19, 2025 at 11:59 PM Eastern Time
Qualifications: 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 research excellence and demonstrated potential for continued research productivity.
- The ability and interest to teach undergraduate and graduate students, and to provide research mentorship to students in our doctoral program.
Candidates applying at the Associate Professor rank must have research and scholarly accomplishments commensurate with an appointment for an advanced rank.
Application Instructions
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 current curriculum vitae;
- 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 10/19/2025. Questions concerning the position should be directed to Search Committee Chair Dr. David Kahle at david_kahle@baylor.edu.
Equal Employment Opportunity Statement
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.
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David Kahle
Associate Professor
Baylor University