1

Statistical Engineering Jobs in Raleigh, NC (NOW HIRING)

The Principal Statistical Programmer will lead programming activities for one or more studies ... Familiarity with modern software engineering practices, including Git-based workflows, reusable ...

You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of ...

You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of ...

You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of ...

You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of ...

PK parameter pooling Experience * 8+ years of statistical programming experience in the pharmaceutical or CRO environment. * Demonstrated experience as a Lead Programmer or technical lead. * Prior ...

PK parameter pooling Experience * 8+ years of statistical programming experience in the pharmaceutical or CRO environment. * Demonstrated experience as a Lead Programmer or technical lead. * Prior ...

Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies * Demonstrate familiarity with both primary and secondary data analyses ...

next page

Showing results 1-20

Statistical Engineering information

See Raleigh, NC salary details

$56.6K

$66.3K

$74K

How much do statistical engineering jobs pay per year?

As of Jun 14, 2026, the average yearly pay for statistical engineering in Raleigh, NC is $66,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $70,800.00 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 engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

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 much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

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 Raleigh, NC? For Statistical Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Raleigh, NC look for? The top searched job categories for Statistical Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Statistical Engineering jobs? Cities near Raleigh, NC with the most Statistical Engineering job openings:
Sr. Director, Statistical Programming Safety

Sr. Director, Statistical Programming Safety

Penfield Search Partners

Raleigh, NC โ€ข Hybrid

Other

Posted 10 days ago


Job description

Job Description Contact: Lauren Scutero - lscutero@penfieldsearch.com This is a permanent, hybrid position in Raleigh, NC with two days (Monday, Friday) as optional work from home with core collaboration days in the office: Tues, Wed, Thurs. Fully home-based work is not available for this role. Job Description Position Summary Provides strategic, operational, and hands on (player coach) leadership for compound level safety statistical programming and aggregate safety reporting deliverables, including DSUR, PSUR/PBRER, Risk Management Plan (RMP), IBRSI, and support for broader safety surveillance and safety analytics

Leads teams and oversees vendors to ensure timely, high quality, and inspection ready delivery while driving modernization through AI enabled and automated programming approaches. Key Responsibilities Lead end to end programming strategy and execution for compound level aggregate safety reporting deliverables (DSUR, PSUR/PBRER, RMP, IBRSI). Provide strategic oversight of roles, responsibilities, and build steps for aggregate safety programming delivery.

Serve as escalation point for complex pooled/cumulative safety analyses and urgent ad hoc safety requests. Maintain hands on engagement to ensure technical correctness, reproducibility, and delivery reliability for critical outputs. Ensure consistent processes, folder structures, and operational readiness for safety programming deliverables.

Own and continuously improve quality management practices, including definition and monitoring of KPIs. Provide vendor/FSP oversight and governance, ensuring training readiness, documented expectations, and appropriate QC. Lead, mentor, and develop Safety Statistical Programming staff; oversee less experienced colleagues and contribute to development of standards, tools, and templates.

Drive adoption of AI enabled and automated programming approaches to improve efficiency, consistency, and quality. Capabilities & Requirements Excellent written and verbal communication; strong influencing and negotiation skills. Deep knowledge of drug development, regulatory expectations, and industry standards for safety programming and reporting.

Proven ability to lead people leaders, delegate effectively, coach performance, and support career development. Strong judgment and problem solving skills in complex situations; ability to prioritize critical issues. Demonstrated ability to work cross functionally and influence decision making.

Education & Experience Bachelor's degree or higher in Biostatistics, Computer Science, or related field with 12+ years of relevant industry experience. 6+ years of leadership or cross functional project management experience, including managing project teams. Significant line management experience with a proven record of hiring and developing high performing talent.

Extensive experience with SAS; experience with R and/or Python preferred. Demonstrated leadership in change management and standards adoption.