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Statistics Validator Jobs in Worcester, MA (NOW HIRING)

Corrona

Biostatistical Data Programmer

Waltham, MA · On-site

... validation and quality data checks and other required data engineering (e.g. migration) as outlined by the Biostatistical lead. • Performs requested compilation, analyses and statistical reports ...

micro1 AI

Director of Biostatistics

Worcester, MA · Remote

$60 - $65/hr

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Varsity Tutors

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

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

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All JobsStatistics Validator JobsStatistics Validator Jobs in Worcester, MA

Statistics Validator information

See Worcester, MA salary details

$40.4K

$83.5K

$116.7K

How much do statistics validator jobs pay per year?

As of Aug 18, 2026, the average yearly pay for statistics validator in Worcester, MA is $83,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $115,700.00 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 Worcester, MA?

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

What job categories do people searching Statistics Validator jobs in Worcester, MA look for?

The top searched job categories for Statistics Validator jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Statistics Validator jobs?

Cities near Worcester, MA with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Worcester, MA as of August 2026, with employment types broken down into 77% Full Time, 14% Part Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $83,474 per year, or $40.1 per hour.

Associate Director, Statistical Programming

Kailera Therapeutics, Inc.

Waltham, MA

Full-time

Re-posted 24 days ago

Job description

What You'll Do:

We are seeking an experienced programmer to join us as Associate Director, Statistical Programming. This is a critical role responsible for leading statistical programming activities on the assigned disease area(s). This role will support clinical trials, regulatory submissions, and other key initiatives.

Required location: Waltham, MA (hub-based, onsite 3-4 days per week)

Responsibilities:

  • Lead statistical programming efforts for clinical studies, including the development and review of programming specifications to ensure clarity, integrity, and compliance with internal and external standards
  • Lead the execution of ad-hoc and post-hoc analyses to support emerging clinical questions, publications, and internal decision-making
  • Oversee and coordinate activities with Contract Research Organizations (CROs), focusing on the implementation of CDISC standards, creation of SDTM, ADaM datasets, and TFLs, and ensuring high-quality deliverables
  • Conduct independent validation and quality checks of statistical programming deliverables from CROs
  • Collaborate closely with statisticians and cross-functional study teams to deliver results in a timely and accurate manner
  • Manage multiple projects simultaneously, ensuring tasks are prioritized effectively to meet deadlines

Required Qualifications:

  • Proven hands-on experience in programming for clinical development, preferably in a leadership role, with a strong preference for late-phase clinical trial support
  • Experience in regulatory submissions, including NDAs, BLAs, and other filings, with experience in ISS/ISE highly desirable
  • Expertise in SAS programming and comprehensive knowledge of CDISC standards
  • Familiarity with ICH/GCP guidelines and global regulatory submission requirements (e.g., FDA, EMA)
  • Extensive experience overseeing CROs, including independent validation of datasets and statistical deliverables

Preferred Qualifications:

  • Background in cardiometabolic diseases or related therapeutic areas is preferred

 

Education:

  • Advanced degree (MS/PhD) in Biostatistics, Statistics, or a related field
    • MS: Minimum of 8+ years of relevant experience
    • PhD: Minimum of 6+ years of relevant experience

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