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Phd Statistics Jobs (NOW HIRING)

Karen Clark & Company

Statistician

Boston, MA · On-site

$90K - $110K/yr

PhD in Statistics is preferred, candidates with an MS in Statistics and relevant job experience will also be considered * Demonstrated experience with ML techniques * Knowledge of extreme value ...

Karen Clark & Company

Statistician

Boston, MA · On-site

$90 - $110/hr

PhD in Statistics is preferred, candidates with an MS in Statistics and relevant job experience will also be considered * Demonstrated experience with ML techniques * Knowledge of extreme value ...

Merck

$80K - $98K/yr

PhD or equivalent degree in statistics/biostatistics or related discipline, or a master's degree with a minimum of 3 years of relevant experience. Required Skills and Experience: * Solid ...

MSD

$80K - $98K/yr

PhD or equivalent degree in statistics/biostatistics or related discipline, or a master's degree with a minimum of 3 years of relevant experience. Required Skills and Experience: * Solid ...

Jump Trading

They leverage their impeccable statistical analysis and data mining skills, using the results of ... About the Role The PhD quant research internship is an intensive 10-week program designed to show ...

New

Jump Trading

They leverage their impeccable statistical analysis and data mining skills, using the results of ... About the Role The PhD quant research internship is an intensive 10-week program designed to show ...

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Phd Statistics information

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$23.5K

$92.9K

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How much do phd statistics jobs pay per year?

As of Sep 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 is a PhD statistics?

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.

What are the key skills and qualifications needed to thrive in a PhD statistics position?

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.

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.

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, especially with specialized skills in statistical programming and data analysis tools.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data analysis, and academia, often requiring strong analytical and programming skills in tools like R or Python. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can I do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.
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Phd Statistics jobs near you
Infographic showing various Phd Statistics job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $92,874 per year, or $44.7 per hour.

Statistician

Karen Clark & Company

Boston, MA • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Statistician

KCC seeks a highly motivated Statistician to join the KCC Model Development Team who are building advanced technology for weather, climate, and catastrophe modeling. In this position, you will work closely with other scientists and engineers to implement advanced data science and statistical methods including machine learning.

About KCC
Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to enhance risk management strategies and climate resiliency. KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For more information, please visit www.kcc.us.com

Expected Salary Range: $90,000- $110,000

Responsibilities

  • Collaborate with scientists and engineers to develop advanced statistical and machine learning algorithms for cutting edge applications
  • Collect and analyze large data sets of atmospheric data
  • Conduct model sensitivity and validation tests

Qualifications

  • PhD in Statistics is preferred, candidates with an MS in Statistics and relevant job experience will also be considered
  • Demonstrated experience with ML techniques
  • Knowledge of extreme value models, goodness-of-fit test statistics, estimation methods, distribution fitting, and statistical inference
  • Excellent written and oral communication skills
  • Able to work independently and in a team environment

Benefits

  • Medical, dental, and vision insurance
  • 401(k) plan with company match
  • Flexible Spending Account (FSA)
  • Commuter benefits
  • Paid time off (PTO) and company holidays
  • Paid parental leave