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Statistics Validator Jobs in Minnesota (NOW HIRING)

micro1 AI

Biostatistician

Minneapolis, MN · 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

RELX

Data Scientist

Minneapolis, MN · On-site

... validate scoring code and ensure model accuracy. • Document methodologies and follow best practices in statistical modeling. Qualifications : Required : • Computer Science, Statistics ...

Oatey

Quality Validation Engineer

Shakopee, MN

$85K - $103K/yr

The Quality Validation Engineer analyzes test data to determine the causes of defects, failures, or ... PPAP), Statistical Process Control (SPC) tools, Root Cause Analysis, etc.) Experience with ...

Oatey

Quality Validation Engineer

Shakopee, MN · On-site

$85K - $103K/yr

The Quality Validation Engineer analyzes test data to determine the causes of defects, failures, or ... PPAP), Statistical Process Control (SPC) tools, Root Cause Analysis, etc.). * Experience with ...

Steris Corporation

Scientist I

Minneapolis, MN · On-site

Assists in statistical analysis of data, such as variation analysis, specific to the modality in ... Ensures processes are maintained in a validated state by supporting periodic verifications and ...

New

Oatey Es

Quality Validation Engineer

Shakopee, MN

$85K - $103K/yr

The Quality Validation Engineer analyzes test data to determine the causes of defects, failures, or ... PPAP), Statistical Process Control (SPC) tools, Root Cause Analysis, etc.) Experience with ...

Oatey

Quality Validation Engineer

Shakopee, MN

$85K - $103K/yr

The Quality Validation Engineer analyzes test data to determine the causes of defects, failures, or ... PPAP), Statistical Process Control (SPC) tools, Root Cause Analysis, etc.). * Experience with ...

Oatey

Quality Validation Engineer

Shakopee, MN · On-site

$85K - $103K/yr

The Quality Validation Engineer analyzes test data to determine the causes of defects, failures, or ... PPAP), Statistical Process Control (SPC) tools, Root Cause Analysis, etc.). * Experience with ...

Heraeus

Quality Engineer III

Saint Paul, MN

$72K - $94K/yr

The role also provides comprehensive quality support throughout the product lifecycle, including inspection development, statistical analysis, validation, and nonconformance resolution. The Quality ...

New

Tactile Medical

Data Scientist

Minneapolis, MN

... statistical methodologies Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders Partner across the marketing ...

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Showing results 21-40

All JobsStatistics Validator JobsStatistics Validator Jobs in Minnesota

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 Minnesota? For Statistics Validator jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistics Validator jobs in Minnesota look for? The top searched job categories for Statistics Validator jobs in Minnesota are:
What cities in Minnesota are hiring for Statistics Validator jobs? Cities in Minnesota with the most Statistics Validator job openings:
Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Minnesota as of July 2026, with employment types broken down into 6% Internship, 56% Full Time, 19% Part Time, 13% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution.

Biostatistician

micro1 AI

Minneapolis, MN • Remote

$60 - $65/hr

Part-time

Posted 3 days ago

New

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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