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Phd Statistics Jobs (NOW HIRING)

PHD preferred with strong foundation in statistics. * Provide in-depth statistical expertise in the areas of; experiment, protocol, case report form design, data base structure, and analysis plan ...

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$23.5K

$92.9K

$172K

How much do phd statistics jobs pay per year?

As of Jul 5, 2026, the average yearly pay for phd statistics in the United States is $92,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What can I do with PhD in statistics?

A PhD in statistics prepares individuals for advanced roles such as data scientist, quantitative researcher, biostatistician, or statistical consultant. Graduates often work in academia, government agencies, healthcare, finance, or technology sectors, utilizing skills in data analysis, modeling, and programming tools like R or Python.

What are the typical projects or research areas for someone with a PhD in Statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, teaching, and data analysis roles that often require strong quantitative and programming skills. While it can lead to higher-level positions and increased earning potential, it also involves significant time and financial investment, and job prospects depend on industry demand and specialization.

What are the key skills and qualifications needed to thrive in the Phd Statistics position, and why are they important?

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

Are statisticians highly paid?

Statisticians with a PhD often earn higher salaries due to advanced expertise and specialized skills in data analysis, modeling, and statistical software. Salaries vary by industry, experience, and location but generally tend to be above average compared to other roles in data-related fields.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or positions in finance, technology, or healthcare can offer higher salaries, often exceeding $150,000. Advanced skills in statistical software and data analysis increase earning potential.

What is a PhD Statistics job?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

More about Phd Statistics jobs
What cities are hiring for Phd Statistics jobs? Cities with the most Phd Statistics job openings:
What are the most commonly searched types of Phd Statistics jobs? The most popular types of Phd Statistics jobs are:
What states have the most Phd Statistics jobs? States with the most job openings for Phd Statistics jobs include:
Infographic showing various Phd Statistics job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $92,874 per year, or $44.7 per hour.
Assistant Professor of Statistics & Data Science

Assistant Professor of Statistics & Data Science

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Posted 2 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

54th of 544 rated colleges and universities


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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