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Statistics Validator Jobs in Edison, NJ (NOW HIRING)

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 ...

Programmatically develop, validate and maintain complex datasets, tables, listings, and figuresProvide technical consultation and analytical support to statisticians and PK modelers for exploratory ...

Programmatically develop, validate and maintain complex datasets, tables, listings, and figures * Provide technical consultation and analytical support to statisticians and PK modelers for ...

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

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

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.

Director HTA Statistics & RWE Methods

Raritan, NJ • On-site

$164 - $282.90/hr

Full-time

PTO

Re-posted 26 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Market Access

Job Sub Function:

Health Economics Market Access

Job Category:

People Leader

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Raritan, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine (JJIM) is currently recruiting for a Director HTA Statistics & RWE Methods, within the Global Commercial Strategy Organization (GCSO), to be located in Raritan, NJ, Horsham, PA or Beerse, Belgium.

This role provides strategic and technical leadership to ensure the scientific rigor of data generation initiatives across the Johnson and Johnson portfolio of innovative medicines. Responsibilities include dataset feasibility and selection, protocol development, study design, and dissemination of results for indirect treatment comparisons, post hoc trial analyses and real-world evidence (RWE).

The role spans all therapeutic areas and supports key innovative medicines across the lifecycle, from early development through launch and post-launch.

Major Duties & Responsibilities

  • Maintain deep expertise in evolving methodologies, including proactive awareness of regulatory, Payer/HTA, and guideline/formulary evidentiary requirements.

  • Review, synthesize, and disseminate external case studies and precedents to shape internal strategy and analyses.

  • Act as key reviewer for the Global RWE Methods Review Board, ensuring robust governance and methodological consistency across programs.

  • 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, etc.) to support market access and launch strategies for key assets.

  • Provide key contributions to capability building, including training for team on Payer/HTA requirements and new methodologies and also in the development of coding libraries and AI/ML advanced analytics scaling and platforms, etc.

Qualifications

Education

  • Required: Postgraduate degree (MSc, PhD) in Biostatistics, Epidemiology, Data Science, Health Economics, or related field

  • Preferred: PhD, PharmD, or MD

Experience

  • Minimum 8 years of relevant experience in pharmaceutical, biotech, or consulting environments

  • Demonstrated experience in advanced statistical methodologies relevant for Payer/HTA evidence generation including indirect treatment comparisons and RWE.

Required Knowledge, Skills, and Abilities

  • Deep expertise in clinical trial design and the strengths and limitations of secondary data sources (claims, EMR, registries, surveys)

  • Advanced knowledge of statistical methodologies for market access, including indirect treatment comparisons and causal inference approaches

  • Strong understanding of methodological standards, regulatory and Payer/HTA frameworks and their application to evidence generation.

  • Hands-on proficiency in statistical programming (SAS, R; desirable)

  • Able to organize work into clear project plans with defined milestones, deliverables, and resources

Required Skills:

Preferred Skills:

Agility Jumps, Commercial Awareness, Competitive Landscape Analysis, Developing Others, Global Market, Health Economics, Health Intelligence, Inclusive Leadership, Leadership, Market Knowledge, Market Opportunity Assessment, Operations Management, Performance Measurement, Pricing Strategies, Program Management, Regulatory Compliance, Strategic Change

The anticipated base pay range for this position is :

$164.000,00 - $282.900,00

Additional Description for Pay Transparency:

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits