Assistant Professor of Applied Statistics

• Instructional Faculty – Tenured/Tenure-Track 1

Southern California

Appointment Type

Bargaining Unit

Job Search Category/Discipline

• Faculty - Mathematics/Statistics 1

• Full Time 1

Apply now Job no: 550538
Work type: Instructional Faculty – Tenured/Tenure-Track
Location: Long Beach
Categories: Unit 3 - CFA - California Faculty Association, Faculty - Mathematics/Statistics, Tenured/Tenure-Track, Full Time

Position:
Assistant Professor of Applied Statistics
Effective Date: August 17, 2026 (Fall Semester)
Salary Range: The Assistant Professor AY 2025-26 classification salary is $74,652 to $158,688/year $6,221 to $13,224/per month (12 monthly payments per academic year). The anticipated hiring range is $7,330 to $7,920/per month. Salary offered is commensurate with qualifications and experience.
Final date to receive applications:
Review of applications to begin October 1, 2025. Position opened until filled (or recruitment canceled).

California State University, Long Beach (CSULB) is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI). CSULB earned the prestigious Seal of Excelencia in 2023, joining a distinctive group of colleges and universities who have been recognized for its commitment to Latine/x student success. CSULB is committed to serving diverse students and has established and actively supports the Black Excellence Collegium, dedicated to promoting Black excellence and advancing Black Student Success, and El Concilio for Latinx Success at the Beach, whose mission is to build capacity and promote inclusive servingness across initiatives and efforts for the benefit of all students.

The President’s Equity and Change Commission is dedicated to achieving inclusive excellence in our community and culture and throughout the university. CSULB’s Beach 2030 University Action Plans prioritize engaging all students; expanding access to higher education; promoting intellectual achievement; building community; and cultivating resilience.

• Ph.D. in Statistics, Data Science, Mathematics with a specialization in Statistics, Applied Statistics, Biostatistics, or a related field. Degree at time of application or official notification of completion of the doctoral degree by August 1, 2026.
• Ability to teach statistics and/or data science courses at the college level
• Demonstrated potential for published scholarship in statistics and/or data science
• Demonstrated commitment to working successfully with a diverse student population, including low socioeconomic and first-generation students

Preferred Qualifications:

• A record of or demonstrated potential for effectiveness and excellence in teaching statistics and/or data science courses, at both undergraduate and graduate levels.
• Experience or interest in developing undergraduate curricula in statistics and/or data science
• Experience or demonstrated potential for integrating undergraduate and graduate students in research projects
• Research experience and publication records in Statistics, Data Science, High-Performance Computing, Machine Learning, or a related field
• Successful experience at the post-doctoral level or in industry, ideally including interdisciplinary collaboration
• Experience of successfully working with populations demographically and/or socioeconomically similar tothe CSULB student body
• Experience mentoring or supporting students with minoritized identities or experience using inclusive and culturally relevant teaching strategies in a diverse classroom

Duties:

• Teach and develop undergraduate and graduate statistics courses, including data science courses in the BS and MS programs in Applied Statistics.(Mode of instruction may include in-person, hybrid, online, and/or any combination thereof.)
• Participate in professional development to improve teaching effectiveness
• Develop and maintain a research program which leads to publications in refereed journals
• Advise and mentor undergraduate and graduate students that reflect our diverse student body (e.g., academic advising, thesis and/or project advising , etc.)
• Participate in departmental…