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Statistics Validator Jobs in Indiana (NOW HIRING)

... apply statistical tools to evaluate process performance, including but not limited to process ... Mentor junior validation associates in Process Validation, cGMP regulations, and principles of ...

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Machine Learning Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

Machine Learning Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

... validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ... introductory statistics-based ML through advanced deep learning and deployment. * Effective ...

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Statistics Validator information

What are Statistics Validators?

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 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.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with relevant certifications and experience.

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.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average in many regions. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher pay.

What does a statistics validator do?

A statistics validator reviews and verifies statistical data, methods, and results to ensure accuracy, consistency, and compliance with standards. They often use statistical software and have strong analytical skills to identify errors or discrepancies in datasets and reports.

What qualifications do I need for statistics?

A statistics validator typically needs a bachelor's degree in statistics, mathematics, data science, or a related field. Strong analytical skills, proficiency with statistical software like R or SAS, and attention to detail are essential for verifying data accuracy and integrity.
What are popular job titles related to Statistics Validator jobs in Indiana? For Statistics Validator jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Indiana look for? The top searched job categories for Statistics Validator jobs in Indiana are:
What cities in Indiana are hiring for Statistics Validator jobs? Cities in Indiana with the most Statistics Validator job openings:
Senior Quality Process Validation Specialist

Senior Quality Process Validation Specialist

INCOG

Fishers, IN

Full-time

Posted 29 days ago


Job description

The Senior Quality Process Validation Specialist provides QA oversight of Process Design (Stage 1), Process Performance Qualification (Stage 2), and Continued Process Verification (Stage 3) activities across the site. This role is responsible for ensuring validation protocols, risk assessments, PPQ studies, and CPV programs meet applicable regulatory expectations and internal procedures, while taking direct, hands-on ownership of protocol design, execution, lifecycle documentation, and ongoing process monitoring.

Essential Job Functions:

  • Provide QA oversight and approval of process validation activities of aseptically filled drug product across all three stages of the process validation life cycle, including Process Design, Process Performance Qualification (PPQ), and Continued Process Verification (CPV).

  • Review and approve process validation life cycle documents including risk assessments, process flow diagrams, critical process parameter (CPP) and critical quality attribute (CQA) identification, validation protocols, and summary reports.

  • Ensure all process validation activities are performed in compliance with FDA, EMA, and applicable regulatory requirements, ICH guidelines (including ICH Q8, Q9, Q10, Q11, Q12), and internal SOPs.

  • Oversee process-related change controls to ensure appropriate revalidation assessments are performed, documented, and closed in a timely manner.

  • Participate in the development, review, and revision of process validation-related SOPs, policies, and guidance documents.

  • Serve as a QA subject matter expert during internal and external audits and regulatory inspections related to process validation activities.

  • Support deviation investigations and CAPA activities related to process validation, PPQ, and continued process verification; review and approve deviations associated with process validation

  • Maintain current knowledge of regulatory trends, guidance documents, and industry best practices related to process validation, including FDA's 2011 Process Validation Guidance, EU Annex 15, and ICH Q8-Q12.

Special Job Requirements:

  • Bachelor's degree in a science or engineering field (e.g., Chemistry, Biology, Biochemistry, Chemical Engineering, Pharmaceutical Sciences, or related discipline).

  • Minimum of 5 years of experience in pharmaceutical, biopharmaceutical, or CDMO manufacturing with direct involvement in process validation activities.

  • Demonstrated hands-on experience in designing and executing process validation protocols, including Process Performance Qualification (PPQ) studies, for aseptically filled drug product.

  • Working knowledge of the three-stage process validation life cycle as defined in the FDA 2011 Process Validation Guidance, including Process Design, Process Performance Qualification, and Continued Process Verification.

  • Direct experience with critical process parameter (CPP) and critical quality attribute (CQA) identification, statistical process monitoring, and process capability analysis. Familiarity with NOR/PAR determination, and other process design and qualification using ICH Q8 methodology.

  • Thorough understanding of FDA, EMA, and ICH regulatory requirements and guidance documents applicable to process validation (e.g., FDA Process Validation Guidance, EU Annex 15, ICH guidances; PDA and ISPE Process Validation and Technology Transfer guidances).

  • Familiarity with technology transfer activities and the associated process validation requirements for new product introductions.

Additional Preferences:

  • Experience in a sterile injectable or aseptic manufacturing environment, particularly within a CDMO setting.

  • Experience with aseptic processing validation, including media fills, hold time studies, shipping validation, and container closure integrity testing.

  • Prior experience supporting regulatory inspections (FDA, EMA, Health Canada) or client audits related to process validation activities.

  • Working knowledge of statistical tools and software used for process capability analysis, control charting, and continued process verification trending (e.g., Minitab, JMP).

  • Experience authoring or reviewing Annual Product Quality Reviews (APQRs) or Product Quality Reviews (PQRs) as part of continued process verification programs.

Additional info about INCOG BioPharma Services:

At INCOG BioPharma we have built a world-class CDMO for parenteral injectable drugs. Our culture and priorities are different by design: focused on building long-term value for our customers, we are committed to a service-culture mindset, technical excellence, and a collaborative and team-centered approach to doing business.

If you crave the challenge of creating systems from scratch and believe you have insights for a better way of doing business, which benefits customers by ensuring quality outcomes and accelerating their route to market, we want to hear from you. Unless otherwise specified, all positions are based out of our Fishers, IN offices. Please note, we are a smoke-free campus.

INCOG BioPharma is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions at INCOG BioPharma are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, sex (including pregnancy), age, physical disability, sexual orientation, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

Qualified applicants must be authorized to work in the United States on a full-time basis. INCOG will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

By submitting your resume and details, you are declaring that the information is correct and accurate.

Employment Type: Full-Time

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About INCOG

Sourced by ZipRecruiter

Industry

Public administration

Company size

51 - 200 Employees

Headquarters location

Tulsa, OK, US

Year founded

1967