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Assistant Professor Applied Statistics Jobs (NOW HIRING)

NCAEC

Assistant Professor, Statistics

Palo Alto, CA · On-site

$138K - $168K/yr

The Department of Statistics at Stanford University seeks applicants for a tenure-track Assistant Professor in any area of Statistics or Probability, broadly understood. Applicants should exhibit the ...

Statistics Interest Group

Assistant Professor

Waco, TX · On-site

Baylor University - Waco, TX - Assistant Professor Company Name Baylor University - Waco, TX Baylor ... Position Qualifications Candidates must possess a doctoral degree in statistics or a related ...

New York Medical College

NY · On-site

$110K/yr

Overview The Department of Public Health invites applications for a full-time Assistant Professor ... or applied public health leadership. * Proficiency with Stata and other statistical software ...

Troy University

Assistant Professor

Troy, AL · On-site

Posting Details Position Information Posting Number F1061P Position Title Assistant Professor ... Applied Computer Science, as well as an MS program in Computer Science. In Class Teaching ...

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How much do assistant professor applied statistics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for assistant professor applied statistics in the United States is $80,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What is an assistant professor of applied statistics?

An Assistant Professor of Applied Statistics is an entry-level faculty member at a college or university who specializes in teaching and conducting research in the field of applied statistics. Their responsibilities typically include instructing undergraduate and graduate courses, supervising student research, publishing scholarly work, and participating in academic service. They often collaborate with other researchers to apply statistical methods to real-world problems in diverse areas such as health, business, and engineering. This position is usually tenure-track, meaning it can lead to a permanent academic appointment after a successful probationary period.

What are the key skills and qualifications needed to thrive as an assistant professor of applied statistics?

To thrive as an Assistant Professor of Applied Statistics, you need a strong background in statistical theory, applied research, and a relevant doctoral degree. Familiarity with statistical software such as R, SAS, or Python, and experience with research publishing are typically required. Excellent communication, teaching, and mentorship skills help engage students and foster academic collaboration. These abilities ensure effective instruction, impactful research, and meaningful contributions to both academia and the wider statistical community.

What are some common challenges faced by assistant professors in applied statistics when balancing research and teaching responsibilities?

Assistant Professors in Applied Statistics often find balancing research productivity with teaching obligations to be a significant challenge, especially in the early years. Managing time between preparing lectures, mentoring students, grading, and advancing personal research projects requires strong organizational skills. Additionally, navigating grant applications and publishing research while meeting departmental service expectations can be demanding. Many institutions offer mentoring programs and teaching assistants to help new faculty acclimate, but proactive time management and setting clear priorities are essential for success.

What are popular job titles related to Assistant Professor Applied Statistics jobs?

For Assistant Professor Applied Statistics jobs, the most frequently searched job titles are:

Assistant Professor of Statistics & Data Science

Pittsburgh, PA • On-site

Carnegie Mellon University
Colleges, Universities, and Professional Schools • 1 - 10 employees
Learn more about Carnegie Mellon Universityexternal

Full-time

Re-posted 9 days ago

Carnegie Mellon University rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

Job description

Description
The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a tenure track position at the rank of Assistant Professor starting in Fall 2026. The Department seeks strong candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory, physical sciences and statistical computing. Excellent candidates with other research interests will also be considered and are strongly encouraged to apply.
Applications received by December 1st, 2025 are guaranteed to receive full consideration.
Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research. Faculty in the department are engaged in a wide range of theoretical, methodological and collaborative research. Current research by our faculty is helping to make fundamental advances in causal inference, neuroscience, cosmology, networks, finance, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning.
Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts a very friendly and energetic working environment, and is dedicated to fostering, mentoring and supporting its junior faculty.
The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence of our undergraduate program, with large numbers of majors and popular joint programs in statistics and machine learning and statistics and economics. We also have two successful Master's programs (Applied Data Science, Computational Finance) and a thriving Ph.D. program that attract exceptional students from around the world.
Qualifications
PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application. Candidates will be expected to complete their PhD or equivalent degree no later than the start date of the appointment (August 2026).
Application Instructions
To apply for the position, interested candidates must include a cover letter, a complete curriculum vitae, a research statement, a statement of teaching interests, and the names and contact information (email addresses) for writers of at least three letters of recommendation.
Applications, including all letters of recommendation, should be complete by December 1, 2025. Review of applications will begin December 1, 2025; the position will remain open until filled.

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