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Statistics Validator Jobs in Oregon (NOW HIRING)

OR · On-site

As a Staff Biostatistician, you will leverage your strong applied statistics expertise to drive the strategy and execution of complex validation experiments for multiple high-priority projects. The ...

$86K - $106K/yr

Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages. * Provide statistical expertise and methodological ...

OR · On-site

$83K - $120K/yr

Validates measurement systems (Gage R&R) to confirm data is reliable before it's used for analysis ... WHAT YOU'LL NEED * Bachelor's degree in Statistics, Industrial Engineering, Data Science ...

OR

$466K - $750K/yr

Design rigorous experiments to test hypotheses, from setup through statistical validation - e.g., comparing two summary-generation algorithms with limited sample sizes, accounting for experimental ...

Integrate and validate data from enterprise healthcare, operational, EHR, ServiceNow, Corporate ... Strong theoretical and applied statistics foundation, including statistical distributions ...

Distinct from traditional, education-focused Medical Affairs teams (MSLs), your organization owns the structural integrity, statistical validation, and scientific output of investigator-led data ...

Own the end-to-end design, execution, and statistical validation of site-wide pricing experiments, regional price elasticity tests, and promotional coupon structures. * Collaborate with Data Science ...

Own the end-to-end design, execution, and statistical validation of site-wide pricing experiments, regional price elasticity tests, and promotional coupon structures. * Collaborate with Data Science ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... statistical validation, to ensure reliable and unbiased AI driven decision support and forecasting • Experience evaluating and integrating third party AI platforms or vendors • Exposure to ...

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 ...

New

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 ...

New

Director of Biostatistics

Bend, OR · 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 ...

New

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 ...

New

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 ...

New

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 ...

New

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Statistics Validator information

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 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 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.

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 experience through internships or entry-level roles in data validation or quality assurance can also be beneficial. Certifications such as the Certified Data Management Professional (CDMP) or relevant training can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in steady demand across industries that rely on data accuracy, such as finance, healthcare, and research organizations. These positions often require strong analytical skills and familiarity with statistical software, with demand driven by the increasing importance of data integrity and quality assurance.
What are popular job titles related to Statistics Validator jobs in Oregon? For Statistics Validator jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Oregon look for? The top searched job categories for Statistics Validator jobs in Oregon are:
What cities in Oregon are hiring for Statistics Validator jobs? Cities in Oregon with the most Statistics Validator job openings:
Infographic showing various Statistics Validator job openings in Oregon as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution.

Lead/Staff Biostatistician (Analytical Validation)

Natera

OR • On-site

Full-time

Re-posted 8 days ago


Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

60th of 120 rated laboratories


Job description

This is an exciting opportunity to independently lead Biostatistics efforts advancing Natera's oncology portfolio of cutting-edge molecular diagnostic tests. As a Staff Biostatistician, you will leverage your strong applied statistics expertise to drive the strategy and execution of complex validation experiments for multiple high-priority projects. The ideal candidate will possess exceptional communication skills and a deep understanding of Biostatistics in analytical validation.

PRIMARY RESPONSIBILITIES:

  • Strategic Study Design and Analysis: Independently lead the design, analysis, and interpretation of analytical validation studies for oncology products.

  • Cross-Functional Leadership: Serve as the statistical lead on multiple high-priority project teams. Partner with bench scientists, bioinformatics, and product development teams to integrate statistical expertise into project planning and execution. Identify risks, communicate concerns, and champion solutions to interdisciplinary teams.

  • Documentation and Reporting: Prepare comprehensive protocols and reports for cross-functional collaborators and stakeholders.

  • Regulatory Compliance: Ensure statistical methodologies and analyses meet the standards set by regulatory agencies such as CAP/CLIA, NYS, and the FDA.

  • Innovation and Improvement: Provide leadership on the application of both common and cutting-edge statistical methods for studies of varying complexity.

QUALIFICATIONS:

  • Minimum 5 years (Lead) or 8 years (Staff) of relevant industry experience, with a focus on analytical validation in diagnostics, biotechnology, or related industries.

  • Ph.D. or Master's degree in Biostatistics, Statistics, or a related field.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Expert-level knowledge of statistical methodology in diagnostic medicine, including a deep understanding of CLSI guidelines

  • Exemplary written and verbal communication skills, with a specific talent for presenting to non-technical executive leadership

  • Demonstrated ability and enthusiasm for working on cross-functional teams with members of diverse technical backgrounds

  • Exceptional problem-solving skills and attention to detail


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