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Statistics Validator Jobs in Bothell, WA (NOW HIRING)

Develop, validate, and maintain programs (eg. SAS program) and conduct comprehensive data analysis using SAS, R, or other statistical software to generate TLFs as needed. * Conduct and interpret ...

Principal Applied Scientist

Redmond, WA ยท On-site

$188K - $304K/yr

... or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.

Principal Applied Scientist

Redmond, WA ยท On-site

$142K - $274K/yr

... or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.

Principal, Data Science & Analytics

Redmond, WA ยท On-site

$165K - $296K/yr

... validate analytical approaches and results. * Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver ...

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Statistics Validator information

See Bothell, WA salary details

$45.3K

$93.5K

$130.8K

How much do statistics validator jobs pay per year?

As of Jul 2, 2026, the average yearly pay for statistics validator in Bothell, WA is $93,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $129,700.00 per year, depending on experience, location, and employer.

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 job categories do people searching Statistics Validator jobs in Bothell, WA look for? The top searched job categories for Statistics Validator jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Statistics Validator jobs? Cities near Bothell, WA with the most Statistics Validator job openings:
Sr. Manager/Associate Director, Statistical Programming

Sr. Manager/Associate Director, Statistical Programming

Systimmune

Redmond, WA โ€ข On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.
SystImmune is seeking a Senior Manager or Associate Director of Statistical Programming to lead statistical programming activities across complex clinical development programs. This role oversees high-quality, on-time delivery of datasets, TLGs, and regulatory submissions, manages and develops programming teams and vendors, and serves as the programming lead on key studies. The position partners closely with biostatistics and cross-functional teams to support study design, regulatory readiness, and continuous improvement of programming standards and processes, and can be based in Sugar Land, TX, Princeton, NJ, or Redmond, WA.
This is a bilingual role in Chinese and English.
Responsibilities
  • Responsible for statistical programming activities within a therapeutic project or equivalent
  • Lead, manage, develop and support statistical programming team
  • Manage critical deadlines, demonstrate ability to problem solving, and ensure quality statistical programming deliverables will be completed within designated timeframe.
  • Serve as project leader on studies or tasks of greater complexity
  • Attend multi-disciplinary team meetings, representing the statistical programming function.
  • Create or review and approve programming plans at study and project level.
  • Provide input on key study-related documents produced by other functions (e.g. CRFs, Data Management Plan, SAPs, etc.)
  • Provide programming leadership for preparation of datasets and TLGs (NDA/BLA) to FDA, EMA, or other worldwide regulatory agencies
  • Develop software systems to generate displays of clinical study data as tables, listings, and graphs for electronic submission to regulatory agencies
  • Assist statisticians by suggesting algorithms to address novel analysis requests
  • Develop software validation procedures and test plans, as necessary.
  • Create and document archives of software, outputs, and analysis files.
  • Contribute to the creation and maintenance of department SOPs related to clinical data analysis.
  • Review draft clinical reports, journal articles, slide presentations, and other documents to assure that results are reported accurately.
  • Oversee work of internal contract programmers and external vendors.
  • Provide time and resource estimates for project planning.

Requirements
  • BSc or MS (in a numerate discipline preferably in Statistics, Computer Science, or Mathematics)
  • Preferably at least 10 years of experience in biostatistics or statistical programming activities in the Pharmaceutical/Biotechnology industry in clinical development
  • At least 5 years of experience as a statistical programming team leader or manager
  • Fluency in English and Chinese
  • Strong knowledge of relevant regulatory (FDA, NMPA, EMA, PMDA etc.) and data submission guidelines
  • Strong understanding of drug development, including knowledge of interfaces and interdependencies with other functions
  • Consistent experience as a lead statistical programmer on several concurrent NDA projects
  • Strong knowledge of the relevant therapeutic areas and CDISC standards
  • Self-directed, technically strong, and a recognized leader maintaining a strategic prospective with regard to statistical programming processes, management of statistical programmers and customer management
  • Strong project management skills
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Compensation and Benefits:
The expected base salary range for this position is $150,000 - $200,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidateโ€™s qualifications, experience, and skills.
While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role.
SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the companyโ€™s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.
We offer an opportunity for you to learn and grow while making significant contributions to the companyโ€™s success.
SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.
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