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Statistical Engineering 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 ...

Servier

Senior Manager, Statistical Programming

Boston, MA · On-site

$151K - $172K/yr

Masters in Statistics, Engineering, or relevant field required with at least 5 years of experience in statistical programming or biostatistics in the Pharmaceutical/Biotechnology industry. Clinical ...

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Statistical Engineering information

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$61.5K

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How much do statistical engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for statistical engineering in the United States is $72,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $77,000.00 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 quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
More about Statistical Engineering jobs
What cities are hiring for Statistical Engineering jobs? Cities with the most Statistical Engineering job openings:
What states have the most Statistical Engineering jobs? States with the most job openings for Statistical Engineering jobs include:
What job categories do people searching Statistical Engineering jobs look for? The top searched job categories for Statistical Engineering jobs are:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,143 per year, or $34.7 per hour.

Statistical Programmer

Baylor Scott & White Health

Dallas, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 6 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 890 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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