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Statistical Engineering Jobs in Colorado (NOW HIRING)

Analytics Engineering Intern

Denver, CO ยท On-site

$17.25 - $22.50/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

Analytics Engineering Intern

Denver, CO ยท On-site

$17.25 - $22.50/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

Apply Early

Statistical Programming & Analysis * Develop, validate, or oversee statistical programming using SAS and other tools (e.g., R, Python). * Review outputs for accuracy, quality, and compliance with ...

Senior Biostatistician

Aurora, CO ยท On-site

$120K - $150K/yr

Statistical Programming & Analysis * Develop, validate, or oversee statistical programming using SAS and other tools (e.g., R, Python). * Review outputs for accuracy, quality, and compliance with ...

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

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

$63K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

$63K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

CO

$63K/yr

... and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work ...

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Statistical Engineering information

See Colorado salary details

$61.2K

$71.8K

$80.2K

How much do statistical engineering jobs pay per year?

As of Jul 7, 2026, the average yearly pay for statistical engineering in Colorado is $71,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $76,700.00 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.
What are popular job titles related to Statistical Engineering jobs in Colorado? For Statistical Engineering jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Statistical Engineering jobs? Cities in Colorado with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Colorado as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $71,834 per year, or $34.5 per hour.

Senior Statistical Programmer

Katalyst Healthcares and Life Sciences

Boulder, CO โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Responsibilities:
  • Ensure departmental or functional training plans in place and appropriate
  • Perform vendor qualifications regarding statistical programming functions and manage CRO programming issues and activities to ensure on time deliverables within budget
  • Generate, validate, and/or review SDTM domains and ADaM datasets and associated specifications
  • Generate, validate, and/or review tables, figures and listings to support the statistical analysis of clinical trials data in support of regulatory submissions and publications
  • Generate or perform quality control for SAS programs and other study documents (e.g., presentations and reports)
  • Maintain complete and auditable documentation of all programming activities
  • Manage datasets and output across SAS programs, studies, and indications to ensure consistency
  • Manage and provide statistical programming support to supplemental or exploratory analyses for pharmacovigilance, regulatory agencies, or any other internal and external ad-hoc requests
  • Manage programming, testing, and documenting SAS global utility programs and tools in accordance with standards and validation procedures
  • Develop and/or maintain departmental procedures and standards
  • Review CRFs, edit check specifications, and table, figure, and listing mock-ups
  • Manage, generate, and/or review acrf.pdf, define.xml, define.pdf, and reviewer's guide documents
  • ssist in validation of SAS per 21 CFR Part 11
  • Train and mentor new members and programmers; supervise contract programmers, as needed
Requirements:
  • Bachelor's degree in Statistics, Mathematics, Computer Science or a related field required
  • Minimum of 6 years biotechnology/pharmaceutical/CRO industry experience as a statistical programmer
  • Prior experience overseeing statistical programming contractors required
  • Compound oversight experience highly preferred
  • Extensive knowledge of SAS Macros highly preferred, in addition to knowledge of Base SAS, SAS/STAT, SAS/Graph, SAS/SQL and SAS/ODS
  • Experience working with other languages or software (R, Python, Spotfire) in validated environments is strongly preferred
  • Demonstrates extensive knowledge with industry standards, such as the ICH guidelines, CDISC standards/implementation guides, 21 CFR Part 11, and FDA guidelines
  • eCTD NDA submission experience is a must.