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Statistics Validator Jobs in Edison, NJ (NOW HIRING)

CLS Bank International

Model Validator

Manhattan, NY

MS/MA or MBA is desired. • Experience with numerical and statistical tools: e.g. SAS, MATLAB, S ... model validation and reporting. · Knowledge of regulatory guidance on model risk management and ...

Unicon Pharma Inc.

Biostatistician II

Basking Ridge, NJ · On-site

... statistical validation, results interpretation, and CSR input/review. - Serve as the main statistical contact for assigned studies and projects. - Provide guidance to study teams on statistical ...

Solomon Page

Sr. Statistical Programmer

Princeton, NJ · On-site

$75 - $80/hr

This position is responsible for the development, validation, and delivery of SDTM, ADaM, analysis ... Education * Master's degree in Statistics, Computer Science, Data Science, Health Sciences ...

AbbVie

Statistical Analyst (Hybrid)

Florham Park, NJ · On-site

... Statistics, Clinical Data Strategy & Operations and Development Operations. Responsibilities ... Validation of ADaM data sets. Validation of Tables, Listings and Figures. * Create specifications ...

New

AbbVie

Statistical Analyst (Hybrid)

Florham Park, NJ · On-site

$84K/yr

... Statistics, Clinical Data Strategy & Operations and Development Operations. Responsibilities ... Validation of ADaM data sets. Validation of Tables, Listings and Figures. * Create specifications ...

Jj

Director HTA Statistics & RWE Methods

Raritan, NJ · On-site

Lead the design of advanced study designs and statistical analyses aligned with Payer/HTA expectations (e.g., indirect treatment comparisons, causal inference methods, surrogate endpoint validations ...

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All JobsStatistics Validator JobsStatistics Validator Jobs in Edison, NJ

Statistics Validator information

See Edison, NJ salary details

$41.9K

$86.6K

$121.1K

How much do statistics validator jobs pay per year?

As of Sep 13, 2026, the average yearly pay for statistics validator in Edison, NJ is $86,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $120,100.00 per year, depending on experience, location, and employer.

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 Edison, NJ?

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

What job categories do people searching Statistics Validator jobs in Edison, NJ look for?

The top searched job categories for Statistics Validator jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Statistics Validator jobs?

Cities near Edison, NJ with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Edison, NJ as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $86,606 per year, or $41.6 per hour.

Model Validator

Manhattan, NY

CLS Bank International
See more jobs at CLS Bank Internationalexternal

Full-time

Re-posted 5 days ago

Job description

Essential Function / major duties and responsibilities of the job

Strategic

•      The Model Validator is responsible for validating CLS models, maintaining model validation standards and procedure documents, engaging with CLS MRM stakeholders on model risk matters, and MRM reporting.

Operational

•      Conduct model validation activities based on internal MRM policy and procedures.

•      Conduct and perform quality assurance for model risk reporting.

•      Communicate effectively with CLS businesses on model risk matters.

•      Collaborate with the Model Governance to ensure model governance and standards are appropriate for the firm’s risk profile and ensure enterprise-wide adherence.

Leadership

•      Execute model validation.

•      Enhance capabilities to operate MRM developed challenger/benchmark models.

Experience / essential and desired for successful job performance

•      0-3 years’ experience in the model risk management at a regulated financial institution.

•      Understanding of settlement and clearing, and the differences is a plus.

•      Knowledge of US Banking Regulations (Federal Reserve Board) is a plus.

•      Experience in working with statistical models.

Qualifications / Certifications

•      Bachelor’s degree is required; MS/MA or MBA is desired.

•      Experience with numerical and statistical tools: e.g. SAS, MATLAB, S-Plus, R, Python, C++.

Knowledge, skills and abilities / competencies required for successful job performance

·      Attention to detail to ensure consistent, correct, and accurate execution of model validation and reporting.

·      Knowledge of regulatory guidance on model risk management and industry best practice.

·      Knowledge of capital market products, esp. FX.

·      Strong verbal and written communication skills.

Success factors / ‘How’. Personal characteristics contributing to an individual’s ability to excel in the position

·      Excellent interpersonal communication skills, both written and verbal.

·      High ethical standards and a profound sense of integrity and confidentiality.

·      Challenging assumptions and maintaining independence and objectivity.

·      Build consensus, to influence both internal and external stakeholders.

·      Results oriented team player.

·      Ability to effectively take and drive initiative.

·      Self-starter, energetic; strive for excellence.

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