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Healthcare & Biotech
Pfizer, Moderna, Mayo Clinic
Statisticians
Statisticians turn messy data into evidence that researchers, doctors, and decision-makers can trust. They spend as much time designing studies, checking sample sizes, and defending their methods as they do running models, which means the work is a mix of deep math and careful judgment. The tradeoff is that the job is well paid and highly analytical, but the answers are only as good as the data and study design behind them.
Also known as BiostatisticianClinical StatisticianApplied StatisticianResearch StatisticianStatistical Analyst
Median Salary
$103,300
Mean $112,330
U.S. Workforce
~30K
2K openings per year
10-Year Growth
+8.5%
32.2K to 34.9K
Entry Education
Master's degree
+ None experience
What This Role Looks Like in Practice
Statisticians sits in the Science category. In practical terms, this role combines day-to-day execution, cross-team coordination, and consistent decision-making under real business constraints.
U.S. employment is currently about ~30K workers, with a median annual pay of $103,300 and roughly 2K openings each year. Based on BLS projections, total employment is expected to grow from 32.2 K in 2024 to 34.9K in 2034.
Most hiring paths start with Master's degree in statistics, biostatistics, or a related quantitative field, and employers typically expect none of related experience. Many careers in this track begin around Statistical Analyst and can progress toward Principal Statistician. High-value skills usually include Mathematics, R, SAS & Statistical Programming, and Statistical Modeling, Regression & Experimental Design, paired with soft skills such as Critical Thinking, Reading Comprehension, and Complex Problem Solving.
Core Responsibilities
- Dig through survey, medical, or public records data to find patterns, errors, and trends that matter.
- Build statistical models to compare groups, test hypotheses, or estimate how likely different outcomes are.
- Work with doctors, researchers, or business teams to design a study and make sure it will answer the right question.
- Figure out how many people or observations a study needs before it starts so the results are reliable.
Keep exploring: more Science careers or browse all job titles.
A Day in the Life
01 Dig through survey, medical, or public records data to find patterns, errors, and trends that matter.
02 Build statistical models to compare groups, test hypotheses, or estimate how likely different outcomes are.
03 Work with doctors, researchers, or business teams to design a study and make sure it will answer the right question.
04 Figure out how many people or observations a study needs before it starts so the results are reliable.
05 Clean up data, organize it in databases, and keep the records consistent so later analysis is trustworthy.
06 Explain the results in plain language through reports, presentations, or meetings, and sometimes coordinate assistants or programmers.
Industries That Hire
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Government & Public Health
CDC, NIH, U.S. Census Bureau
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Technology & Cloud Software
Google, Microsoft, Amazon
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Finance & Insurance
JPMorgan Chase, Progressive, MetLife
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Research, Universities & Nonprofits
Harvard University, Stanford University, RAND Corporation
Pros and Cons
Advantages
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The pay is strong: the median salary is $103,300 and the mean is $112,330, so even mid-career statisticians usually earn well above average office wages.
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You can move into the field with no required work experience and no on-the-job training, which makes the path straightforward once you have the degree.
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Demand is steady rather than spiky, with 29,800 current jobs and about 2,000 annual openings, so there is ongoing need for people who can analyze data correctly.
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The work transfers across industries, from medicine to government to finance, which gives you options if one sector slows down.
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The results can directly shape research, treatment decisions, and policy, so your work has a clear real-world payoff when the analysis is done well.
Challenges
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The standard entry point is a master's degree, and 19.34% of workers have a doctorate, so the education barrier is higher than in many other office jobs.
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Growth is projected at 8.5% from 2024 to 2034, which is healthy but not fast enough to create a huge wave of new openings.
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The occupation is still relatively small, with only 29,800 workers now, so competition can be tight in specific cities, industries, or niche specialties.
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A lot of the job is checking data quality, defending methods, and explaining uncertainty, which can be slower and more tedious than people expect.
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Routine analysis is increasingly automated by statistical software and AI tools, so basic work can get commoditized unless you build deeper subject-matter expertise or move into leadership.
Career Progression
Statistical Analyst
0-2 years
$60K-$78K
Supports projects by cleaning data, running routine analyses, and preparing basic reports for senior staff.
Statistician
3-7 years
$88K-$120K
Designs studies, chooses methods, and produces the core analysis that informs research or business decisions.
Senior Statistician THIS ROLE
8-12 years
$122K-$155K
Handles complex modeling work, reviews analysis plans, and mentors junior analysts or programmers.
Principal Statistician
12+ years
$158K-$195K
Sets the analytical approach for major projects, advises leadership, and oversees the most high-stakes studies.
Education Paths
Master's degree in statistics, biostatistics, or a related quantitative field
The most common entry point, held by 60.11% of workers in this role.
Doctoral degree in statistics or a closely related field
A major alternative, held by 19.34% of workers, and often preferred for research-heavy or highly specialized roles.
Bachelor's degree with strong quantitative coursework
A smaller share of workers, 13.39%, enter with a bachelor's degree and build up the rest through advanced coursework or work experience.
Graduate certificate in biostatistics or statistical programming
This can help for some applied roles when paired with strong math or programming experience, even though it is not a major path in the education distribution.
Key Skills
Technical
Mathematics 95%
R, SAS & Statistical Programming 88%
Statistical Modeling, Regression & Experimental Design 86%
SQL & Database Management 82%
Survey Methods, Sampling & Sample Size Planning 79%
Tableau, Power BI & Data Visualization 77%
Soft Skills
Critical ThinkingReading ComprehensionComplex Problem SolvingSpeaking ClearlyActive LearningWriting Job Outlook and Trends
+8.5%
Projected growth (2024-2034)
2K
Annual job openings
Employment is projected to rise from 32.2K to 34.9 K over the next decade, representing 8.5% growth. Around 2 K openings per year include both newly created roles and replacement hiring from turnover.
Remote availability is currently High availability. Demand remains strongest where employers need practical domain knowledge plus modern workflow and data skills.