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Statistical Process Control Engineer Jobs in Steinbach, MB

Conducts statistical process control by supporting routine data trending and root cause analysis ... Bachelor's degree in science, Engineering or related field is strongly preferred; an equivalent ...

Conducts statistical process control by supporting routine data trending and root cause analysis ... Bachelor's degree in science, Engineering or related field is strongly preferred; an equivalent ...

Carry out statistical analyses and provide direction to programmers, using standard software ... Our hiring process always includes direct engagement with a recruiter or hiring manager, and we ...

Controls Engineer

Winnipeg, MB ยท On-site +1

CA$80K - CA$110K/yr

Create and release comprehensive control system designs, including electrical schematics and ... Process Savvy: Familiarity with ERP systems, BoM management, and formal engineering change ...

Controls Engineer

Winnipeg, MB ยท On-site +1

CA$80K - CA$110K/yr

Create and release comprehensive control system designs, including electrical schematics and ... Process Savvy: Familiarity with ERP systems, BoM management, and formal engineering change ...

Our client is a global leader in high-precision environmental control systems, providing cutting ... change processes. * Compliance: Solid understanding of industry standards (UL, CE) and product ...

Electrical Engineer

Winnipeg, MB ยท On-site

CA$80K - CA$110K/yr

Our client is a global leader in high-precision environmental control systems, providing cutting ... change processes. * Compliance: Solid understanding of industry standards (UL, CE) and product ...

Utilizes engineering methods (e.g., mathematical models, simulation, statistics) to support the development of optimal process designs and efficient utilization of resources (e.g., facilities ...

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Statistical Process Control Engineer information

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

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 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 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.

Statistician, Manufacturing Sciences & Tech

Statistician, Manufacturing Sciences & Tech

Emergent Biosolutions

Winnipeg, MB โ€ข Hybrid

Other

Posted 10 days ago


Job description

Preparedness today, safer tomorrow.

Emergent is a leading public health company that delivers protective and life-saving solutions to
communities around the world.ย  Here, you will join passionate professionals where our culture is informed by our values and commitment to protecting and saving lives.

Job Summary

The Statistician, Manufacturing Sciences & Technology (MS&T) is responsible for the statistical analysis, interpretation, and presentation of data generated from commercial manufacturing operations, including raw materials, microbiological programs, filling, and visual inspection. This role supports regulatory compliance through preparation of data for Annual Product Quality Reviews (APQRs) and other regulatory submissions. The position also manages and analyzes data generated from CDMO project work, contributing to the development of robust data processes, procedures, and continuous improvement initiatives. Working in a hybrid environment, the role is expected to further refine and expand existing statistical programs in collaboration with the MS&T team, and integrate filling and visual inspection data.

Responsibilities

Data Analysis, Trending & Reporting

  • Prepare, analyze, and trend data from commercial manufacturing batches, raw materials, filling, and visual inspection routine process monitoring and decision-making.
  • Develop datasets, analyses, tabulations, graphical summaries, and listings to support internal reviews and regulatory requirements, including APQRs.

Process Support & Continuous Improvement

  • Support regularly scheduled data review meetings by preparing clear, accurate, and meaningful data presentations for cross-functional teams.
  • Support manufacturing operations by providing technical expertise, statistical interpretation, and insight into process performance and variability.
  • Collaborate with site stakeholders to support data analysis required for investigations, CAPAs, process validations, and other studies as needed.
  • Contribute to the development, refinement, and implementation of statistical programming SOPs, standards, and best practices.

Project & Cross-Functional Collaboration

  • Support project teams during technology transfer activities, ensuring data integrity and effective statistical support across project stages.
  • Work collaboratively with all departments and cross-functional teams to meet project deliverables and timelines.
  • Compiling department metrics.ย 
  • Provide leadership during brainstorming and data review sessions, guiding discussions to ensure comprehensive evaluation of relevant data.

Education, Experience & Skills

  • Bachelor's degree in Science, Engineering, Statistics or related field is strongly preferred; an equivalent level of education, skills, and experience will be considered.
  • The ideal candidate will have 5+ years of professional experience and a strong background in statistical analysis, preferably within the pharmaceutical industry
  • Experience with statistical process control would be an asset
  • Experience using Excel, JMP and SAS platforms for analysis of data sets
  • Proficiency in Power BI considered an assetย 
  • Knowledge of cGMP with expertise in manufacturing processes and design, and Microsoft Office Suite of Products.

There are physical/mental demands and work environment characteristics that must be met by an individual to successfully perform the essential functions of the job. This information is available upon request from the candidate.

As part of our team, you'll join talented and inspiring colleagues whose sense of purpose complements your own. We offer highly diverse career opportunities, a supportive culture, competitive salaries, flexible work arrangements and an extensive benefits package. Information submitted will be used by Emergent BioSolutions for activities related to your prospective employment. Emergent BioSolutions respects your privacy and any use of the information submitted will be subject to the terms of our Privacy Policy.