Job Details

Tenure and Tenure Track All Ranks - Mathematics and Statistics
Go to our website »

Position Number: 5723203
Location: Lubbock, TX
Position Type: Science - Statistics

Tenure and Tenure Track All Ranks - Mathematics and Statistics

39062BR
Position DescriptionThe Department of Mathematics and Statistics in the College of Arts and Sciences at Texas Tech University invites applications for one full-time, 9-month, tenured/tenure-track position in Biostatistics and/or Medical Statistics at the Associate Professor level to begin September 2025. This position will have a dual appointment with the Human Molecular Aging Center (HMAC) and the Department of Mathematics and Statistics.The Department of Mathematics and Statistics in the College of Arts and Sciences at Texas Tech University invites applications for one full-time, 9-month, tenured/tenure-track position in Biostatistics and/or Medical Statistics at the Associate Professor level to begin September 2025. This position will have a dual appointment with the Human Molecular Aging Center (HMAC) and the Department of Mathematics and Statistics.

Position Description
The Department of Mathematics and Statistics in the College of Arts and Sciences at Texas Tech University invites applications for one full-time, 9-month, tenured/tenure-track position in Biostatistics and/or Medical Statistics at the Associate Professor level to begin September 2025. This position will have a dual appointment with the Human Molecular Aging Center (HMAC) and the Department of Mathematics and Statistics.

Major/Essential Functions
In line with TTU's strategic priorities to engage and empower a diverse student body, enable innovative research and creative activities, and transform lives and communities through outreach and engaged scholarship, applicants should have experience working with diverse student populations at the undergraduate and/or graduate levels within individual or across the areas of teaching, research/creative activity, and service. Other essential functions include the following:

Establish and maintain a rigorous research agenda.
Work with multidisciplinary and interdisciplinary teams including the Human Molecular Aging Center to seek extramural funding to support research and practice.
Advise and mentor master's and doctoral students.
Supervise graduate student research (including serving on thesis and dissertation committees).
Actively participate in service for the program, department, college, and university committees.
Help the department build a strong program to be commensurate with the University's mission as a Hispanic-serving institution.
Teach courses in person and online.
Collaborate and cooperate with colleagues to fulfill the needs of the departments and college's strategic goals.
Develop and foster partnerships with school districts, community partners, other colleges, and universities for engaged scholarship.
Promote a collaborative, socially just environment within the department, college, university, and co

Required Qualifications

An earned doctoral degree in Mathematics, Statistics or related natural sciences
At least 2 year's experience teaching undergraduate and/or graduate level courses in Mathematics or Statistics
Qualified candidates should have an established record of publications and external funding in the field of biostatistics and data analysis in the life sciences and/or related areas commensurate with the rank of associate professor.

Preferred Qualifications

Applicants who have strong records of scholarship supported by extramural funding and a very strong peer reviewed publication record are particularly encouraged to apply.
Visibility: The candidate should have a strong professional network evidenced by their reputation in the field.
Research: The candidate should have a proven record of research scholarship.
Teaching: The candidate should have demonstrated strong commitment to teaching scholarship and practice.
Service: The candidate should have demonstrated a commitment to service and engagement at institutional and professional levels.
Mentoring: The candidate should have demonstrated a strong record of mentoring of students, post-docs, or junior faculty and staff.

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information or status as a protected veteran.