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Statistical Engineering Jobs in Boston, MA (NOW HIRING)

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track progress, and provide expert technical support to team members. In addition, the Principal ...

AstraZeneca

Head of Statistical Programming

Boston, MA · On-site

Advanced degree in statistics, biostatistics, computer science, mathematics, engineering, or a related discipline. * Deep expertise with CDISC standards and modern statistical programming languages ...

Cytel

Senior Statistical Programmer FSP

Cambridge, MA · On-site +1

As a Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are ...

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Showing results 21-40

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Boston, MA

Statistical Engineering information

See Boston, MA salary details

$65.3K

$76.6K

$85.5K

How much do statistical engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for statistical engineering in Boston, MA is $76,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $81,800.00 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 are popular job titles related to Statistical Engineering jobs in Boston, MA?

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

What job categories do people searching Statistical Engineering jobs in Boston, MA look for?

The top searched job categories for Statistical Engineering jobs in Boston, MA are:

What cities near Boston, MA are hiring for Statistical Engineering jobs?

Cities near Boston, MA with the most Statistical Engineering job openings:

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