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Statistical Process Control Engineer Jobs in Raleigh, NC

Lead Engineer - Protection & Control

Raleigh, NC Β· On-site +1

$99K - $131K/yr

Perform/Ensure company's Quality Assurance/Quality Control (QA/QC) processes are followed on all design packages. * Delegating, planning, prioritizing and reviewing the work of other engineers will ...

... R&D, Engineering, Manufacturing, and Supply Chain. The role focuses on ensuring that critical ... Statistical Process Control (SPC), and transferring qualified measurement systems from Pilot to ...

Perform QC on critical outputs and technical documents (e.g., cSDRG, ADRG). * Maintain governance ... Experience contributing to standards development, process improvement, or digital transformation ...

Perform QC on critical outputs and technical documents (e.g., cSDRG, ADRG). * Maintain governance ... Experience contributing to standards development, process improvement, or digital transformation ...

... control, documentation, and compliance are critical to operations. The Process Engineer will ... provide technical support to Engineering Design, Construction Management, and CQV/Start-up teams on ...

... control, documentation, and compliance are critical to operations. The Process Engineer will ... provide technical support to Engineering Design, Construction Management, and CQV/Start-up teams on ...

... control, documentation, and compliance are critical to operations. The Process Engineer will ... provide technical support to Engineering Design, Construction Management, and CQV/Start‑up teams ...

... control strategy definition to enable process performance qualification (PPQ) readiness for both ... JMP Statistical Software proficiency is highly preferred AskBio Inc. (AskBio) is an Equal ...

... control strategy definition to enable process performance qualification (PPQ) readiness for both ... JMP Statistical Software proficiency is highly preferred AskBio Inc. (AskBio) is an Equal ...

Showing results 41-60

Statistical Process Control Engineer information

See Raleigh, NC salary details

$51K

$96K

$142.9K

How much do statistical process control engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for statistical process control engineer in Raleigh, NC is $96,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $113,200.00 per year, depending on experience, location, and employer.

What does a Statistical Process Control Engineer do?

A Statistical Process Control (SPC) Engineer is responsible for designing, implementing, and maintaining systems that monitor and control manufacturing processes using statistical methods. They analyze data to identify trends, reduce process variation, and improve product quality. SPC Engineers work closely with production teams to ensure processes remain stable, efficient, and in compliance with industry standards. Their role often involves training staff in SPC techniques and troubleshooting quality issues using data-driven approaches.

What are the key skills and qualifications needed to thrive as a Statistical Process Control Engineer?

To thrive as a Statistical Process Control Engineer, you need a solid background in statistics, process engineering, and quality management, often supported by a degree in engineering or a related field. Familiarity with SPC software (such as Minitab or JMP), Six Sigma methodologies, and quality system certifications like ASQ are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications are vital to maintain product quality, optimize processes, and drive continuous improvement within manufacturing or production environments.

How does a Statistical Process Control Engineer typically collaborate with production and quality teams to drive process improvements?

A Statistical Process Control Engineer regularly works alongside both production and quality assurance teams to identify trends, troubleshoot issues, and implement data-driven improvements. They analyze real-time data from manufacturing processes, facilitate root cause analysis sessions, and communicate findings through reports or presentations. Collaboration often includes training team members on SPC tools and methodologies, as well as guiding them in using statistical techniques to monitor and control process variability. This cross-functional teamwork ensures that process adjustments are both technically sound and operationally practical, leading to sustained quality improvements.

What is the difference between Statistical Process Control Engineer vs Quality Engineer?

AspectStatistical Process Control EngineerQuality Engineer
Primary FocusMonitoring and controlling manufacturing processes using statistical methodsEnsuring overall product quality through testing, inspection, and process improvements
CertificationsSix Sigma, Statistical Process Control (SPC) certificationsSix Sigma, Quality Management certifications (e.g., CQE)
Work EnvironmentManufacturing plants, process development labsQuality departments, production facilities
Industry UsageManufacturing, automotive, electronicsManufacturing, healthcare, aerospace

While both roles focus on improving product quality, the Statistical Process Control Engineer specializes in using statistical tools to monitor and control manufacturing processes, whereas the Quality Engineer oversees broader quality assurance activities, including testing and compliance. Understanding these differences helps in choosing the right career path or job search focus.

What is statistical process control in engineering?

Statistical Process Control (SPC) is a method used by engineers, including those in quality and manufacturing roles, to monitor and control a process through statistical analysis. It involves collecting data from production processes, using control charts to detect variations, and ensuring consistent product quality by identifying and addressing issues early. SPC tools like Pareto charts and process capability analysis are commonly employed to maintain process stability and improve efficiency.

What are popular job titles related to Statistical Process Control Engineer jobs in Raleigh, NC?

For Statistical Process Control Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Statistical Process Control Engineer jobs in Raleigh, NC look for?

The top searched job categories for Statistical Process Control Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Statistical Process Control Engineer jobs?

Cities near Raleigh, NC with the most Statistical Process Control Engineer job openings:

Infographic showing various Statistical Process Control Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 62% Full Time, 36% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $96,001 per year, or $46.2 per hour.

Senior Engineer Operational Excellence #4891

Durham, NC β€’ On-site

GRAIL
Biotechnology Research and DevelopmentΒ β€’Β 1 - 5K employees

$94K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
 
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
 
GRAIL is headquartered in the Bay Area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.
 
For more information, please visit grail.com

The Senior Engineer, Operational Excellence will support continuous improvement initiatives within our sequencing-based cancer screening operations. This role will work at the intersection of data, process, and operations to enhance efficiency, quality, and scalability across laboratory and operational workflows. The ideal candidate is detail-oriented, data-savvy, and experienced in Lean methodologies, with a strong inclination toward solving complex operational problems through structured analysis and experimentation.
 
This role works on-site full-time at our office located in Durham, NC
Responsibilities:
  • Operational Data & Reporting
    • Develop and maintain operational dashboards and visualizations to track performance across workflows
    • Support generation and automation of KPI reporting, ensuring data integrity and usability
    • Collaborate with stakeholders to refine metrics and improve visibility into operational performance
  • Process Analysis & Monitoring
    • Perform data exploration and statistical analysis to identify trends, variation, and potential process deviations
    • Apply Statistical Process Control (SPC) and Quality Control (QC) methods to monitor and improve process stability
    • Identify leading indicators of performance issues and recommend proactive interventions
  • Continuous Improvement Execution
    • Execute and support Lean initiatives, including 5S, Kaizen events, and Six Sigma projects
    • Conduct root cause analyses (e.g., 5 Whys, Fishbone) and implement corrective and preventive actions (CAPAs)
    • Partner with operations teams to pilot, measure, and scale process improvements
  • Issue Tracking & Prioritization Support
    • Capture and document operational issues, risks, and improvement opportunities
    • Maintain structured tracking systems (e.g., backlogs, ticketing tools) for visibility and accountability
    • Lead prioritization of improvement efforts in collaboration with cross-functional stakeholders
  • Cross-Functional Collaboration
    • Work closely with Operations, Engineering, Software, and Product teams to implement process improvements
    • Translate operational needs into clear requirements for technical teams
    • Provide feedback loops to ensure solutions effectively address root causes
Required Qualifications:
  • Bachelor’s degree in Engineering, Life Sciences, Industrial Engineering, or related field
  • 6+ years of experience in process engineering, operations, or continuous improvement roles, ideally in biotech, diagnostics, or manufacturing
  • Working knowledge of Lean, Six Sigma, and Kaizen methodologies (certification a plus)
  • Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI)
  • Familiarity with SPC/QC tools and statistical analysis techniques
  • Strong problem-solving skills with attention to detail and data accuracy
  • Effective communicator with the ability to collaborate across teams
  • Experience in NGS, clinical laboratory operations, or diagnostics workflows
  • Familiarity with regulated environments (CLIA, CAP, FDA) preferred
Preferred Qualifications:
  • Strong problem-solving skills with attention to detail and data accuracy
  • Effective communicator with the ability to collaborate across teams
Physical Demands and Work Environment:
  • Work performed across office, production, and executive settings.
  • Exposure to manufacturing environments, including noise, chemicals, and production equipment.
  • Extended or flexible hours may be required to meet organizational goals.
  • Use of personal protective equipment (PPE), including safety glasses, gloves, and hearing protection, required in designated areas.
The expected, full-time, annual base pay scale for this position is $94K - $125K.  Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.