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Statistics Validator Jobs in Berkeley, CA (NOW HIRING)

Infinitus

Data Analyst

San Francisco, CA · On-site

Help define our standards for hypothesis testing, experimentation design, and statistical validation. You'll own the best practices for how we interpret data and ensure "truth" remains consistent as ...

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All JobsStatistics Validator JobsStatistics Validator Jobs in Berkeley, CA

Statistics Validator information

See Berkeley, CA salary details

$49.6K

$102.4K

$143.3K

How much do statistics validator jobs pay per year?

As of Sep 3, 2026, the average yearly pay for statistics validator in Berkeley, CA is $102,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $142,000.00 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 cities near Berkeley, CA are hiring for Statistics Validator jobs?

Cities near Berkeley, CA with the most Statistics Validator job openings:

Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Berkeley, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,432 per year, or $49.2 per hour.

Data Analyst

Infinitus

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Key responsibilities

  • Partner with product teams and business leaders to analyze complex healthcare data and translate it into strategic insights.

  • Create frameworks, standards, and methodologies for scalable data analysis and reporting.

  • Develop and maintain automated reporting, alerting, and validation processes to monitor performance and identify trends.

Job description

Help Build the Future of Healthcare AI
Infinitus is AI communications in service of patients.
Healthcare is inherently complex and siloed. We're pioneering agentic communications to connect the entire system - any stakeholder, any channel, inbound and out. The result is intelligent care that reduces patient anxiety, increases speed to treatment, and enables teams to scale impact without stretching resources.
Our system combines industry-leading safety guardrails with the largest dynamic knowledge graph built on millions of real-world interactions. It's why 44% of the healthcare Fortune 50 trusts Infinitus to turn fragmented touchpoints into seamless care for better patient outcomes.
The Mission
At Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. We've automated over 7 million calls and 100M+ minutes of conversation - saving millions of hours for patients and providers.
Backed by over $100M from top investors including Google Ventures, Kleiner Perkins, Andreessen Horowitz, and Coatue, we're a team that challenges the status quo and moves fast at the intersection of AI and healthcare. Infinitus was recently named to Fast Company's World's Most Innovative Companies and Business Insider's top startups in healthcare.
Your Role
We're looking for a Data Analyst to help guide the evolution of our analytical ecosystem, ensuring our data isn't just accessible, but deeply insightful and actionable across the company.
In this role, you'll be hands-on with complex data exploration, advanced modeling, and the translation of messy healthcare data into clear strategic narratives. You'll partner closely with our product pods and business leaders to solve high-stakes problems, while also helping define the standards for how we model metrics and validate insights. You'll bring modern practices to how we conduct deep-dive analyses and build scalable reporting, while helping other analysts and stakeholders level up their ability to work with data.
There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance, should these areas interest you.
Our team's mission is to deliver high-fidelity insights and intuitive data assets that empower our internal teams to make faster, more confident decisions when identifying product opportunities, troubleshooting operational bottlenecks, and measuring our impact
Your Impact
Build Analytical Capacity: Create the frameworks, metric standards, and shared methodologies that empower partner teams to self-serve and unlock new, scalable use cases for insights.
Shape our Analytical Rigor: Help define our standards for hypothesis testing, experimentation design, and statistical validation. You'll own the best practices for how we interpret data and ensure "truth" remains consistent as we grow.
Drive Strategic Decisions: Partner with leaders to turn complex data into a clear path forward, providing the insights that help us decide what to build next and where to invest our resources.
Uplift the Craft: Help partner teams design better experiments, interpret data more accurately, and ship better insights through technical guidance, documentation, and training.
Scale the Insight Loop: Expand and maintain automated reporting, alerting, and validation processes that ensure we can monitor performance and identify trends with total confidence.
Ensure Governance by Design: Integrate rigorous data integrity, privacy, and compliance standards into the analytical workflow, ensuring our insights are as secure as they are actionable.
Your Skillset
5+ years of professional experience in data analytics, with a track record of tackling complex problems and delivering high-stakes insights.
Deep fluency in SQL, with the ability to write sophisticated, maintainable queries that serve as a foundation for reliable analysis.
Strong proficiency in Python or R for advanced data manipulation, statistical modeling, and hypothesis testing.
Comfortable exploring ambiguity and translating open-ended business questions into well-defined analytical solutions.
Expertise in analytical methodology, including statistical validation, optimization models, and the ability to interpret trends within messy, multi-source data.
Hands-on with modern visualization and dashboarding tools (e.g., Sigma, Hex, Tableau, or Looker) to build intuitive data assets and clear narratives.
Mastery of communication, specifically the ability to translate technical findings into a clear path forward for product teams and executive leadership.
Excited to help others grow in their use of data and level up the team's collective analytical rigor.
Why You'll Love It Here
Please Note: the following benefits are for salaried employees
  • Hybrid work (SF office Mon/Tues/Thurs) + catered lunches (Bay Area Positions only)
  • Competitive salary, equity, and 401(k)
  • Wellness stipend & great benefits (medical, dental, vision)
  • Generous PTO & parental leave
  • Bi-annual offsites & a collaborative, mission-driven culture

What to Expect in the Interview Process
  • Apply & meet our recruiting team
  • Virtual interviews to showcase your skills
  • Final onsite loop to meet the team and get to know us better
  • Chat with our CEO

Curious to Learn More?
  • Read our Blog to hear from Infinauts about what we're building
  • Discover how our company values (CODES) guide us
  • Follow our CEO, Ankit Jain, for industry updates

We're building AI agents that tackle healthcare's toughest problems and open new possibilities. Ready to join us? Let's talk!
Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.

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