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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 Aug 17, 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 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 job categories do people searching Statistics Validator jobs in Berkeley, CA look for?

The top searched job categories for Statistics Validator jobs in Berkeley, CA are:

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 74% Full Time, 10% Part Time, 4% Temporary, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,432 per year, or $49.2 per hour.

Statistician, CMC (Chemistry, Manufacturing, and Controls)

Orca Bio

Menlo Park, CA • On-site, Remote

$100K - $160K/yr

Full-time

Posted 12 days ago

Job description

More than one million people in the United States today are fighting blood cancer. While a traditional allogeneic stem cell transplant has been the best hope for many, the transplant itself can prove fatal or lead to serious conditions, such as graft vs. host disease. Orca Bio is a commercial-stage biotechnology company redefining the transplant process by developing next-generation cell therapies with the goal of providing significantly better survival rates with dramatically fewer risks. With our purified, high-precision cell therapies we hope to not only replace patients' blood and immune systems with healthy ones, but also restore their lives.

Position Summary:  We are seeking a skilled Statistician to join our CMC organization and provide statistical leadership across analytical method development, validation, comparability, and product characterization activities. The successful candidate will partner closely with Analytical Development, Process Development, and Validation teams to design studies, analyze complex data (including non-normal distributions common in biologics assays), and translate results into clear, regulatory-defensible conclusions that support process and product decisions across the product lifecycle. In this role, you will provide hands-on statistical expertise across the full product lifecycle, from early analytical method development through commercial manufacturing, ensuring compliance with ICH, FDA, and EMA guidance.
Essential Duties & Key Responsibilities
  • Design and execute comparability assessments for process changes, site transfers, scale- up/scale-down activities, and reference standard qualification, utilizing equivalence testing, quality range methods, and mixed-effects models to establish pre-specified acceptance criteria.
  • Develop and apply tolerance interval methodologies (parametric, non-parametric, and distribution-free approaches) to establish specifications, in-process control limits, and shelf- life/stability ranges across the product lifecycle.
  • Conduct Bland-Altman analysis and method-agreement/method-transfer evaluations to assess bias, limits of agreement, and comparability between analytical platforms, instruments, and laboratories.
  • Provide statistical support for analytical method validation and verification, including accuracy, precision, linearity, range, and robustness studies, with particular expertise in handling non- normal and skewed data through transformation strategies and non-parametric methods.
  • Author and review statistical sections of validation protocols, reports, and summary statistics packages suitable for regulatory submissions (BLA/MAA/NDA, CTD Module 3) and responses to health authority queries.
  • Develop, validate, and maintain statistical code and templates (R, SAS, JMP, Python) to ensure consistency, traceability, and reproducibility of analyses; stay current with ICH, FDA, and EMA guidance on comparability, analytical procedures, and statistical methods.
  • Collaborate with Analytical Development, Process Development, QC, and Regulatory Affairs to design fit-for-purpose experimental designs (DOE), sampling plans, and risk assessments while communicating statistical concepts clearly to non-specialist stakeholders.
Experience & Education
  • B.S., M.S., or Ph.D. in Statistics, Biostatistics, Applied Mathematics, or a related quantitative field (or equivalent experience).
  • 6+ years (B.S.), 3+ years (M.S.), or 1+ years (Ph.D.) of relevant industry experience applying statistics within a CMC, analytical development, or QC environment in biotech/pharma.
  • Demonstrated hands-on experience with comparability assessment methodologies for biologics or small molecules, tolerance interval construction (parametric and non-parametric), and Bland- Altman/method-comparison techniques.
  • Demonstrated experience providing statistical support for analytical method validation, including strategies for non-normal/non-Gaussian data, robust statistics, and bootstrapping methods.
  • Proficiency in a statistical programming language (JMP preferred; R, SAS, Minitab, or Python also relevant).
  • Working knowledge of relevant ICH Q2(R2), Q14, FDA, and EMA guidance related to analytical procedures, comparability, and specification setting.
  • Strong written and verbal communication skills with ability to explain statistical reasoning to cross-functional, non-statistical audiences.
  • Excellent attention to detail and ability to manage multiple concurrent projects in a fast-paced, highly regulated environment.
The anticipated annual salary range for this job is based on prior experience in the role/industry, education, location, internal equity, and other job-related factors as permitted by law. For remote-based positions, this range may vary based on your local market. Full-time employment positions will also be eligible to receive pre-IPO equity and annual bonus, in addition to competitive medical, dental, and vision benefits, PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits. Other perks include subsidized daily lunches and snacks at our on-site locations.
 
Who we are
 
We are driven by a passion for science and compassion for patients. We act with urgency to ensure our treatments are one day accessible to all who need them.
 
We live by our core values of passion, courage, and integrity. Excellence in our work means the chance to unlock a better quality of life for our patients, and with that comes tremendous responsibility.
 
We innovate on a path that hasn’t been paved. We embrace an entrepreneurial spirit and take calculated risks to achieve our mission. We aren’t afraid to ask “why not” and challenge the status quo.
 
We maintain a start-up culture of camaraderie and leadership by example, regardless of title.
 
We’re proud to be an equal opportunity employer, and recognize that celebrating our differences creates stronger, lasting solutions that better serve our team, our patients and their healthcare providers.
 
Notice to staffing firms
 
Orca Bio does not accept resumes from staffing agencies with which we do not have a written agreement and specific engagement for a particular opening. Our employment activities, inquiries and offers are managed through our HR/Talent team, and all candidates are presented through this channel only. We do not accept unsolicited resumes, and we rarely outsource recruitment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.