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Statistics Validator Jobs in Kansas (NOW HIRING)

Validate and troubleshoot test systems to ensure reliable, repeatable, and robust operation ... Use Statistical Process Control tools to monitor equipment performance and product test data, and ...

Statistical Energy Analysis (SEA) * Ray Tracing * Experience developing simulation methods and analytical tools * Experience supporting laboratory testing and validation activities * Experience ...

Sr Decision Science Analyst

Overland Park, KS · On-site

$83K - $110K/yr

Conduct data exploration, data validation, and data audits to identify and address data quality ... Support the development (or build yourself) of statistical models and other types of predictive ...

Valid Driver's license * Class E License preferred * Neat and professional appearance * Excellent ... Our annual campus security report lists campus crimes and statistics for the campus and public ...

Sr Decision Science Analyst

Overland Park, KS · On-site

$87K - $115K/yr

Conduct data exploration, data validation, and data audits to identify and address data quality ... Bachelor's or Master's Degree in Statistics, Mathematics or similar quantitative field of study ...

Manufacturing Engineer

De Soto, KS · On-site

$85K - $105K/yr

... statistics to monitor capability and correct losses that affect throughput, first-pass yield, scrap ... Process Documentation and Validation: You will create and maintain PFMEA, process flows, work ...

Experience working in a Data Science, Machine Learning, Applied Statistics or similar role. * Proven experience designing, validating and monitoring applied machine learning models. * Robust ...

Sr Decision Science Analyst

Overland Park, KS · On-site +1

$87K - $115K/yr

... data validation, and data audits to identify and address data quality issues and recommend ... statistical models and other types of predictive models as appropriate to improve our Credit and ...

Statistical Quality Control: Implement Gauge R&R, Cpk, and Measurement Uncertainty analysis ... Install and validate production systems at the Indianapolis facility and contract manufacturing ...

Statistical Quality Control: Implement Gauge R&R, Cpk, and Measurement Uncertainty analysis ... Install and validate production systems at VIAVI facilities and contract manufacturing sites.

Showing results 41-60

Statistics Validator information

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What are the key skills and qualifications needed to thrive as a statistics validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.

What are popular job titles related to Statistics Validator jobs in Kansas?

For Statistics Validator jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Kansas look for?

The top searched job categories for Statistics Validator jobs in Kansas are:

What cities in Kansas are hiring for Statistics Validator jobs?

Cities in Kansas with the most Statistics Validator job openings:

Infographic showing various Statistics Validator job openings in Kansas as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution.

Manager, Process Performance Qualification

Mcpherson, KS • On-site

Other

Posted 11 days ago


Job description

Manager, Process Performance Qualification

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

Pfizer Global Supply proudly shoulders the responsibility of manufacturing and distributing our wide-ranging pharmaceutical products.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

Transforming Delivery of high quality products

Pfizer, We are one

PGS - Manufacture the Future

ROLE SUMMARY

Reporting to the Senior Manager, Validation & Qualification, the Manager, Process Performance Qualifications leads a team of validation engineers responsible for Process Qualification, Cleaning Validation, and Continued Process Verification (CPV) activities supporting sterile injectable manufacturing operations. The role serves as the functional expert for assigned validation programs, providing technical guidance, oversight, and coaching to direct reports and cross‑functional partners to ensure compliant and effective execution of validation lifecycle activities.

The incumbent is responsible for the development, evaluation, review, approval, and maintenance of Validation Master Plans, validation protocols, reports, and associated lifecycle documentation within their area of responsibility. The role develops and applies validation standards, quality processes, and system requirements that ensure compliance with Pfizer Quality Standards, current Good Manufacturing Practices (cGMP), and applicable regulatory requirements.

This position provides technical leadership for troubleshooting process validation and cleaning validation issues, evaluating process performance data and statistical analyses, supporting investigations and change management activities, and authoring or approving technical documentation related to manufacturing processes, products, and equipment. The Manager identifies opportunities for process improvement, implements innovative and risk based solutions, and contributes to continuous improvement initiatives that enhance compliance, process robustness, and operational performance.

The role manages people, technological resources, and departmental priorities across multiple projects and ongoing activities of moderate complexity. Working closely with Operations, Quality, Engineering, Technical Services, and Project Management teams, the Manager supports commercial manufacturing, technology transfers, regulatory inspections, and customer audits while ensuring a state of inspection readiness within assigned validation programs. Decisions primarily impact short‑ to mid‑term departmental objectives and require effective collaboration, influence, and communication across functional areas.

ROLE RESPONSIBILITIES

Lead, develop, and mentor a team of validation engineers responsible for Process Qualification, Cleaning Validation, and Continued Process Verification (CPV)

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