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Statistics Validator Jobs in Boston, MA (NOW HIRING)

Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures ... Bachelor's degree in one of the following fields Statistics, Computer Science, Mathematics, etc.

... Statistics, or related subject. Chemistry preferred. * 4+ years of environmental data validation ... experience, including a demonstratable ability to review data according to the National Functional ...

... Statistics, or related subject. Chemistry preferred. * 4+ years of environmental data validation ... experience, including a demonstratable ability to review data according to the National Functional ...

Principal Statistical Programmer

Boston, MA ยท Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track ... system validation and acquisition, customization, and integration of new tools and technologies ...

Showing results 21-40

Statistics Validator information

See Boston, MA salary details

$44K

$90.9K

$127.1K

How much do statistics validator jobs pay per year?

As of Aug 19, 2026, the average yearly pay for statistics validator in Boston, MA is $90,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $126,000.00 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 Boston, MA?

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

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

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

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

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

Infographic showing various Statistics Validator job openings in Boston, MA as of August 2026, with employment types broken down into 77% Full Time, 12% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,885 per year, or $43.7 per hour.

Senior Manager, Statistical Programming (Oncology)

BioNTech SE

Cambridge, MA โ€ข On-site, Remote

$130K - $209K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Cambridge, US; Gaithersburg, US; London, United Kingdom; Mainz, Germany; Munich, Germany; New Jersey, USย  ย |ย  ย full timeย  ย |ย  ย Job ID:ย 11351ย 

About the Role

As a Senior Manager, Statistical Programming at BioNTech, you will be instrumental in ensuring high-quality statistical programming deliverables that support our clinical development projects. Working collaboratively with Clinical Development teams or CROs, you will oversee the creation and validation of programming outputs for study reports and regulatory submissions. Your expertise will drive process efficiencies, uphold quality standards, and contribute to the development of global programming tools and standards. Join us to help advance groundbreaking therapies in oncology and infectious diseases.

Your Contribution

  • Collaborate with Clinical Development teams or CROs to meet project timelines for statistical data analysis and reporting
  • Oversee or independently produce and validate programming deliverables such as analysis datasets, tables, listings, and figures
  • Anticipate resource needs and coordinate with management to ensure long-term resource allocation for therapeutic projects
  • Ensure quality control (QC) is performed on all derived datasets, tables, listings, and figures in alignment with company standards and regulatory requirements
  • Participate in developing global programming standards to enable consistent deliverables across portfolios; create tools supporting SDTM/ADaM dataset generation and TLF production
  • Provide functional expertise in establishing BioNTech's centralized clinical data repository, clinical data dictionary, and operational data dictionary
  • Collaborate with Biostatistics to develop statistical applications such as data review and reporting tools
  • Support regulatory submissions by preparing data submission packages including define.xml

A Good Match

  • BSc in Statistics, Mathematics, Computer Science, or related discipline; advanced degree preferred
  • 5+ years (3+ years with advanced degree) experience in pharmaceutical industry/CRO/clinical research settings
  • Strong competence in statistical programming (e.g., SAS/Base, Macro, STAT, GRAPH, SQL)
  • Solid knowledge of FDA/EMA/ICH regulations and guidelines governing clinical trials
  • Familiarity with industry standards for clinical study data reporting (e.g., CDISC standards)
  • Experience in oncology therapeutic area; submission experience preferred
  • Project management skills with strong organizational abilities and attention to detail
  • Excellent communication skills (written/spoken English) with a proactive mindset for problem-solving
  • Ability to thrive in a fast-paced team environment while maintaining analytical rigor

Your benefits and remuneration:

Expected Pay Range: $130,800/year to $209,400/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.

BioNTech US is committed to employee wellbeing and offers best-in-class benefits & HR programs to support an inclusive & diverse workforce. Salaried/Position-Targeted Hourly Employees working 30+ hours per week are eligible for our comprehensive benefits package. Benefits include but are not limited to:

  • Medical, Dental and Vision Insurance
  • Life, AD&D, Critical Illness Insurance
  • Pre-tax HSA & FSA, DCRA Spending Accounts
  • Employee Assistance & Concierge Program (EAP) available 24/7
  • Parental and Childbirth Leave & Family Planning Assistance
  • Sitterstream: Virtual Tutoring & Childcare Membership
  • Paid Time Off: Vacation, Sick, Bereavement, Holidays (including Floating) & Year-End U.S. Shutdown.
  • 401(K) Plan with Company Match
  • Tuition Reimbursement & Student Loan Assistance Programs
  • Wellbeing Incentive Platforms & Incentives
  • Professional Development Programs
  • Commuting Allowance and subsidized parking
  • Discounted Home, Auto & Pet Insurance

...and more! More details to be shared.
ย 

Apply now - We look forward to your application!

Apply for our Cambridge, US; Gaithersburg, US; London, United Kingdom; Mainz, Germany; Munich, Germany; New Jersey, USย location and simply send us your documents using our online form.

By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.