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Statistical Engineer Jobs (NOW HIRING)

Penumbra

Manager, Statistical Programming

The Manager of Statistical Programming provides statistical programming support for multiple projects through own efforts and those of staff for assigned projects. The manager builds relationships ...

Navitas Life Sciences

Senior Statistical Programmer

The Senior Statistical Programmer Analyst I (SR SPA I) is an independent statistical programmer analyst supporting the clinical reporting production programming and verification for client regulatory ...

ImmunityBio, Inc.

Principal Statistical Programmer

Position Summary A Principal Statistical Programmer is an expert in management, technical oversight, and quality of statistical programming activities related to the analyses of clinical trial data ...

Systimmune

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

The Statistical Programmer will support statistical programming activities for clinical trials, including generating SDTM/ADaM datasets, tables, figures, and listings (TFLs). This role is ideal for ...

SystImmune, Inc

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

The Statistical Programmer will support statistical programming activities for clinical trials, including generating SDTM/ADaM datasets, tables, figures, and listings (TFLs). This role is ideal for ...

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How much do statistical engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for statistical engineer in the United States is $94,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $108,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong skills in statistical analysis, mathematics, and data interpretation, usually backed by a degree in statistics, engineering, or a related field. Familiarity with statistical software (such as R, SAS, or Python), data visualization tools, and knowledge of quality control systems are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data-driven decision-making and process optimization, which are vital for organizational success.

What are Statistical Engineers?

Statistical Engineers are professionals who apply statistical methods and techniques to solve engineering and production-related problems. They analyze data, design experiments, and develop models to optimize processes, improve product quality, and support decision-making in various industries. Their work often involves collaborating with engineers, scientists, and business teams to interpret data and implement solutions that enhance efficiency and reliability.

What is the salary of a Statistical Engineer?

The average salary of a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often work with statistical software and data analysis tools, and advanced certifications can influence earning potential.

What is the difference between Statistical Engineer vs Data Scientist?

AspectStatistical EngineerData Scientist
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related field; often some programming skillsBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentFocus on developing and optimizing statistical models, often in engineering or manufacturing settingsAnalyze large datasets, build predictive models, and communicate insights across various industries
Employer & Industry UsageUsed in manufacturing, engineering, and technology sectors for process improvementCommon in tech, finance, healthcare, and marketing for data analysis and modeling

While both roles require strong statistical knowledge and programming skills, Statistical Engineers primarily focus on developing and implementing statistical models within engineering contexts. Data Scientists tend to work more broadly on analyzing data, building predictive models, and deriving insights across diverse industries.

What does a Statistical Engineer do?

A Statistical Engineer designs and applies statistical models and data analysis techniques to solve complex problems, often working with large datasets and programming tools like R or Python. They develop algorithms, validate data quality, and collaborate with teams to improve processes and decision-making based on quantitative insights.

Are statisticians highly paid?

Statistical engineers and statisticians are generally well-paid professions, with salaries often above the national average due to their specialized skills in data analysis, modeling, and programming. Compensation varies based on experience, education, industry, and location, with roles requiring proficiency in tools like R, Python, or SAS typically offering higher salaries.

How does a Statistical Engineer typically collaborate with cross-functional teams in a project-driven environment?

Statistical Engineers often work closely with professionals from diverse fields such as data science, software engineering, quality assurance, and business analytics. In a project-driven environment, they are responsible for designing experiments, analyzing large datasets, and interpreting results to inform decision-making. Collaboration usually involves participating in regular meetings, communicating complex statistical findings in an accessible way, and ensuring that analytical methods align with the team's objectives. This cross-functional teamwork not only enhances project outcomes but also helps Statistical Engineers develop broader professional skills and a deeper understanding of the organization's operations.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering with senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses or stock options.
More about Statistical Engineer jobs
What states have the most Statistical Engineer jobs? States with the most job openings for Statistical Engineer jobs include:
What job categories do people searching Statistical Engineer jobs look for? The top searched job categories for Statistical Engineer jobs are:
Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $94,030 per year, or $45.2 per hour.

Statistical Programmer

Baylor Scott & White Health

Dallas, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Baylor Scott & White Health rating

7.5

Company rating: 7.5 out of 10

Based on 757 frontline employees who took The Breakroom Quiz

231st of 887 rated healthcare providers

Job description

About Us

Here at Baylor Scott & White Health we promote the well-being of all individuals, families, and communities. Baylor Scott and White is the largest not-for-profit healthcare system in Texas that empowers you to live well.

Our Core Values are:

  • We serve faithfully by doing what's right with a joyful heart.
  • We never settle by constantly striving for better.
  • We are in it together by supporting one another and those we serve.
  • We make an impact by taking initiative and delivering exceptional experience.
Benefits

Our benefits are designed to help you live well no matter where you are on your journey. For full details on coverage and eligibility, visit the Baylor Scott & White Benefits Hub to explore our offerings, which may include:

  • Immediate eligibility for health and welfare benefits
  • 401(k) savings plan with dollar-for-dollar match up to 5%
  • Tuition Reimbursement
  • PTO accrual beginning Day 1

Note: Benefits may vary based upon position type and/or level.

Job Summary

The Statistical Programmer provides programming help for research projects and other Baylor Scott & White initiatives. This role works with Investigators, Analysts, and Biostatisticians to prepare statistical datasets. The Statistical Programmer also helps perform analyses to produce summary tables and graphs under senior staff direction. The Statistical Programmer is expected to grow professionally by earning programming certifications or improving statistical knowledge. All job duties must be completed in a timely and professional manner.

Essential Functions of the Role
  • Assists in creating statistical datasets by merging multiple files, and formatting and creating new variables.
  • Works directly with investigators, project heads and biostatisticians to gather requirements needed to format data for investigation.
  • Creates and maintains project related documentation such as programming requirements and annotations, data dictionaries and archiving documentation.
  • Creates summary tables with descriptive statistics.
  • Constructs common graphs/figures.
  • Conducts simple, unadjusted statistical examination.
  • Assists in review and validation of code by other team members.
  • Attends meetings regularly and participates in technical discussions.
  • Conducts oneself in a professional manner and follows best practices for implementing and conducting project activities.
Key Success Factors
  • Proficiency in SAS and/or statistical programming languages (e.g. R, STATA, Python).
  • Knowledge of basic statistical analyses (e.g. summary statistics, graphs, t-tests, correlations).
  • Good time management skills.
  • Good written and oral communication skills.
  • Ability to work on multiple projects and prioritize tasks.
  • Ability to partner with transdisciplinary teams.
Belonging Statement

We believe that all people should feel welcomed, valued and supported.

QUALIFICATIONS

  • EDUCATION - Bachelor's
  • EXPERIENCE - 2 Years of Experience
Employment Type: FULL_TIME

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