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Internship Statistical Process Control Jobs in Pennsylvania

onsemi

Process Engineer - Photo

Mountain Top, PA

Semiconductor experience, through full-time industry experience, internships, or coursework/labs is preferred * Basic understanding of Statistical Process Control * Programming experience is a plus ...

onsemi

Process Engineer - Photo

Mountain Top, PA · On-site

Semiconductor experience, through full-time industry experience, internships, or coursework/labs is preferred * Basic understanding of Statistical Process Control * Programming experience is a plus ...

Coherent Corp.

Epitaxy Process Engineer

Easton, PA · On-site

Monitor and control processes using Statistical Process Control (SPC) and data analysis tools * Analyze process data using JMP or similar statistical software to identify trends and drive ...

Coherent

Epitaxy Process Engineer

Easton, PA · On-site

Monitor and control processes using Statistical Process Control (SPC) and data analysis tools * Analyze process data using JMP or similar statistical software to identify trends and drive ...

The CKHobbie Group

Process Engineer

Nazareth, PA · On-site

$80/hr

... Statistical Process Control (SPC) and Six Sigma tools to achieve continuous improvement goals plant-wide; considered to be a subject matter expert in each of these areas. • Support, establish, and ...

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Internship Statistical Process Control information

What is the role of statistical process control?

In an internship for Statistical Process Control, the role involves monitoring and analyzing manufacturing or business processes using statistical methods to ensure quality and consistency. It includes collecting data, creating control charts, and identifying variations to maintain process stability and improve efficiency.

What are the key skills and qualifications needed to thrive as an Internship Statistical Process Control, and why are they important?

To thrive in an Internship for Statistical Process Control, you need a solid understanding of statistics, data analysis, and quality management principles, typically gained through coursework in engineering or a related field. Familiarity with statistical software such as Minitab, Excel, or JMP, as well as knowledge of SPC charts and quality systems, is commonly expected. Attention to detail, problem-solving skills, and effective communication enable interns to analyze data accurately and work collaboratively within teams. These skills are vital for identifying process improvements, ensuring product quality, and supporting efficient manufacturing operations.

What are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used to analyze and improve processes, including the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. These tools help quality professionals and interns identify variations, root causes, and process improvements in manufacturing or service environments.

What is an Internship in Statistical Process Control?

An Internship in Statistical Process Control (SPC) is a temporary, hands-on work experience where interns learn to monitor and improve manufacturing or business processes using statistical methods. Interns typically collect data, analyze process performance, and help identify areas for improvement using SPC tools like control charts and process capability analysis. This internship is valuable for students or recent graduates interested in quality assurance, process engineering, or data analysis, providing practical exposure to real-world applications of statistics in industry.

What types of projects can I expect to work on during an Internship in Statistical Process Control?

As an intern in Statistical Process Control (SPC), you will typically assist with collecting and analyzing production data to monitor and improve manufacturing processes. Common projects include implementing control charts, conducting process capability studies, and collaborating with cross-functional teams to identify process variations and recommend improvements. You may also be involved in preparing reports, presenting findings to supervisors or engineers, and supporting ongoing quality assurance initiatives. These experiences provide valuable hands-on exposure to real-world problem-solving and teamwork within a manufacturing or quality-focused environment.

What is the difference between Internship Statistical Process Control vs Quality Control Intern?

AspectInternship Statistical Process ControlQuality Control Intern
CertificationsBasic knowledge of SPC tools, statistical methodsUnderstanding of quality standards, inspection techniques
Work EnvironmentManufacturing, production lines, data analysisInspection labs, production facilities, quality departments
Industry UsageManufacturing, automotive, electronicsManufacturing, consumer goods, pharmaceuticals

Internship Statistical Process Control focuses on analyzing data to monitor and improve manufacturing processes using statistical methods. In contrast, a Quality Control Intern primarily inspects products and ensures quality standards are met. Both roles are essential in manufacturing industries but differ in their focus—SPC emphasizes data analysis and process improvement, while QC emphasizes product inspection and compliance.

What is a statistical process control job description?

A Statistical Process Control (SPC) job involves monitoring and analyzing manufacturing or business processes using statistical methods to ensure quality and consistency. Responsibilities include collecting data, creating control charts, identifying process variations, and implementing improvements, often requiring knowledge of statistical software and quality standards like Six Sigma. The role aims to reduce defects and improve process efficiency.

What jobs can I do with statistics?

With a background in statistics, you can pursue roles such as Data Analyst, Quality Control Analyst, Statistical Consultant, or Operations Analyst. These jobs often require skills in data analysis, statistical software, and understanding of process control, especially in industries like manufacturing, healthcare, or finance.
What are popular job titles related to Internship Statistical Process Control jobs in Pennsylvania? For Internship Statistical Process Control jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Internship Statistical Process Control jobs in Pennsylvania look for? The top searched job categories for Internship Statistical Process Control jobs in Pennsylvania are:
Internship Statistical Process Control jobs near you

Quality Assurance Engineer, Process Control

Sharpservices

Allentown, PA

Full-time

Posted 8 days ago

Job description

This role is responsible for monitoring and analyzing data, trending and supporting Corrective Action and Preventive Action (CAPA) activities. Responsible for maintaining rejection trending analysis. Analyze trends and collaborate to investigate trends, conduct root cause analysis and lead corrective actions for processes and products. Develop and analyze statistical data and specifications to establish product and process capabilities.
This position will work with the following departments to drive process improvements to prevent repeat non-conformances. He/She will work with Operations, Quality, Engineering, Continuous Improvement, IT, Materials Management and external customers.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
The following is a list of minimum responsibilities related to the Quality Engineer-Process Control position. Other duties may also be assigned.
- Perform statistical analysis of data on CAPA reports.
- Establish a process where an in-control and out-of-control process is characterized and utilized to periodically monitor process control and act if necessary.
- Responsible for maintaining rejection trending analysis and apply process capability measures.
- Assists in identifying root causes and coordinate corrective action to quality issues on the packaging floor.
- Participate in equipment process and performance capability studies, including identifying characteristics, specifications and tolerances, developing sampling plans for such studies and establishing statistical control.
- Application of various statistical and problem-solving tools as part of analysis of data, issues, non-conformances or improvement opportunities. Knowledge in both variable and attribute control charts (frequentist statistics, along with associated knowledge of OC curves, probabilities, ARL, etc.)
- Knowledge of attribute control charts (Operating Characteristic curves, probabilities, ARL, etc.).
- Strong working knowledge in sampling standards for attributes and variables sampling plan.
- Involvement in FMEA activities and risk mitigation assessments.
- Collaborate with Quality, Engineering, Operations and other functions to support the in-process improvement initiatives.
- Understand descriptive statistics, including the appropriate use of test statistics, and distinguish between various sampling characteristics and methods of a measurement system.
- Familiarity with basic tools for quality (i. e. check sheet, control chart, pareto chart, histogram, scatter diagram).

The position requires someone who has expertise and knowledge in Statistical Process Control (SPC).

PREFERRED / REQUIRED EDUCATION and/or EXPERIENCE:
At least one (1) outside certification of quality engineers (i.e. American Society for Quality CQE, CSSGB, etc.) is required.
- Strong background in process control and statistical sampling techniques preferred.
- An ability to understand and apply towards Quality Engineering tasks, mathematical concepts especially as it relates to statistics and probability. Ability to apply mathematical operations to such tasks as frequency distribution, determination of tests, analysis, sampling, and process capabilities.
- Strong working knowledge of quality related tools, such as structured problem solving, FMEA (Failure Mode and Effects Analysis), SPC (Statistical Process Control), and DOE (Design of Experiments).
- Proficient in Microsoft Office (Word, Excel, Access, PowerPoint), Microsoft Project, Statistical Software (MiniTab).
- Background experience with medical devices, pen assembly, sterilization, vial/syringe labeling, bottling, pouching, blistering, and serialization processes.
- Strong leadership skills with the ability to challenge, influence, and build consensus.
- Must be able to analyze data and communicate issues, findings and processes and ideas in a clear, concise, technically proficient manner.

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