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Internship Statistical Process Control Jobs in Washington

Acara Solutions

Senior Quality Inspector

Manassas, VA

$38.04/hr

Apply statistical process control techniques and quality methodologies to support process improvements * Support investigations into product non-conformances and manufacturing issues What You'll ...

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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.
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Internship Statistical Process Control jobs near you
Infographic showing various Internship Statistical Process Control job openings in Washington as of June 2026, with employment types broken down into 7% As Needed, 13% Full Time, 67% Part Time, and 13% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Post doctoral researcher in Statistics

University of Maryland Baltimore County

Baltimore, MD • On-site

Full-time

Re-posted 19 days ago

Job description

Description
The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Foundations of digital twins and uncertainty quantification, with applications to neuroscience problems."
The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in statistics, biostatistics, machine learning, or a related field before their appointment start date. Successful candidates are expected to conduct research, collaborate with faculty members, apply for external funding, and teach courses.
Qualifications
Candidates in all areas of statistics and data science may apply. Our interests include but are not limited to high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; optimization theory and numerical optimization with applications to data science; statistical applications to biomedical problems and precision medicine.
Application Instructions
Applicants should apply using: http://apply.interfolio.com/158801
Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.

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