ZipRecruiter

Log In

1

Statistical Engineering Jobs in Missouri (NOW HIRING)

Premier Research

Premier Research is looking for a Director, Statistical Programming Innovation & Technology to join our Biostatistics team. You will help biotech, medtech, and specialty pharma companies transform ...

Ra

Marketing Analytics Manager

Saint Louis, MO

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Buffalo, MO

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Jobtailor

Staff Quantitative Scientist

California, MO · On-site

$190 - $240/hr

Proficient in Python or R for statistical programming and experienced in analyzing observational healthcare data. Highest-signal resume keywords * Master's In Health Economics * Statistical Analysis

Jobtailor

Decision Scientist Lead

California, MO · On-site

$140 - $240/hr

... statistics, engineering, or other quantitative field) * Proven experience working directly with senior executive leadership * Expert communicator in written and verbal form * Proven experience ...

next page

Showing results 1-20

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Missouri

Statistical Engineering information

See Missouri salary details

$57.4K

$67.3K

$75.1K

How much do statistical engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for statistical engineering in Missouri is $67,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $71,800.00 per year, depending on experience, location, and employer.

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.

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 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.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What are popular job titles related to Statistical Engineering jobs in Missouri?

For Statistical Engineering jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Missouri look for?

The top searched job categories for Statistical Engineering jobs in Missouri are:

What cities in Missouri are hiring for Statistical Engineering jobs?

Cities in Missouri with the most Statistical Engineering job openings:

Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $67,296 per year, or $32.4 per hour.

Director, Statistical Programming Innovation & Technology

Premier Research

Full-time

Posted 10 days ago

Job description

Premier Research is looking for a Director, Statistical Programming Innovation & Technology to join our Biostatistics team.

You will help biotech, medtech, and specialty pharma companies transform life-changing ideas and breakthrough science into new medicines, devices, and diagnostics. What we do is profoundly connected to saving and improving lives, and we recognize our team members are the most valuable asset in delivering success.

  • We are here to help you grow, to give you the skills and opportunities to excel at work with the flexibility and balance your life requires.

  • Your ideas influence the way we work, and your voice matters here.

  • As an essential part of our team, you help us deliver the medical innovation that patients are desperate for.

Join us and build your future here.

What you'll be doing:

  • Defines and drives the technical roadmap for innovating statistical programming practices, tools, and infrastructure
  • Evaluate, pilot, and implement AI-assisted tools to improve programming efficiency, quality, regulatory and GDPR compliance
  • Identify opportunities to replace manual and traditional SAS-based processes with automated, reproducible pipelines using R, Python or other emerging technology including AI solutions
  • Designs, builds, and maintains reusable tools, macros, packages, and templates that improve efficiency and consistency across programming deliverables
  • Leads migration and integration efforts where traditional SAS workflows are modernized or supplemented with R/Python-based solutions
  • Provides technical direction and hands-on guidance for the design, development, and deployment of R Shiny applications (e.g., interactive review tools, safety/efficacy dashboards, TLF exploration tools)
  • Sets standards for Shiny app architecture, modularity (e.g., use of frameworks such as teal), performance, and deployment (e.g., Posit Connect)
  • Supervises, manages, mentors, and develops direct reports, building their capabilities in both traditional and modern programming approaches. Fosters a culture of continuous learning, experimentation, and technical excellence

What we're looking for:

  • BS or equivalent from an accredited college or university in Statistics, Computer Science, Mathematics, Data Science, or a related quantitative field, or equivalent experience with programming in a scientific field.Equivalent combination of education, training and experience will be considered.
  • 10+ years of statistical programming experience, including demonstrated expertise in R and SAS in CRO or pharmaceutical environments
  • 5+ yearsin technical leadership role
  • 2+ years of experience as supervisor/manager
  • Strong working proficiency in R for data manipulation, automation, and/or statistical analysis
  • Proven hands on and leadership experience building tools, macros, or pipelines that improved efficiency or standardization for a programming function

Apply