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Statistical Engineering Jobs in Rhode Island (NOW HIRING)

Director of Biostatistics

Providence, RI ยท Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Who Are You? An experienced Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will support or lead one or more Phase I-IV

New

Research Assistant

Providence, RI ยท On-site

$41K - $68K/yr

SUMMARY The Research Assistant supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis,

SUMMARY: The Research Assistant supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis,

Research Assistant

Providence, RI ยท On-site

$41K - $68K/yr

SUMMARY: The Research Assistant supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis,

Software Developer

Middletown, RI ยท On-site

$80K - $110K/yr

Software Developer Full-Time Regular Professional Newport, RI, US 2 days ago Requisition ID: 1698 Salary Range: $80,000.00 To $110,000.00 Annually Software Developer Company Overview: KMS Solutions,

New

Vishay manufactures one of the world's largest portfolios of discrete semiconductors and passive electronic components that are essential to innovative designs in the automotive, industrial,

Software Developer

Newport, RI ยท On-site

$80K - $110K/yr

Software Developer Company Overview: KMS Solutions, LLC is a technical management / solutions company that specializes in engineering, analysis, and cyber security. Founded in 2005, KMS is a

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Statistical Engineering information

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 Rhode Island?

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

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

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

What cities in Rhode Island are hiring for Statistical Engineering jobs?

Cities in Rhode Island with the most Statistical Engineering job openings:

Infographic showing various Statistical Engineering job openings in Rhode Island as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.