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Applied Statistics Jobs in California (NOW HIRING)

... applied statistics, probability modeling, and reliability analytics across KLA's product, engineering, and service organizations, influencing outcomes across multiple teams and programs.

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required). 1+ years experience in advanced analytics, model building, statistical modeling ...

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

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Applied Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do applied statistics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for applied statistics in California is $82,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $114,500.00 per year, depending on experience, location, and employer.

Is AI replacing statisticians?

Applied statisticians use data analysis, modeling, and statistical tools to interpret data and inform decisions. AI can automate routine tasks and enhance data processing, but statisticians are needed to design experiments, validate models, and interpret complex results, making their role complementary rather than replaceable by AI.

What are typical projects or responsibilities for professionals in Applied Statistics?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What do you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation to support decision-making. Professionals often use tools like R, Python, or SAS and may work in industries such as healthcare, finance, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is an Applied Statistics job?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What does applied statistics do?

Applied statistics involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field collect, interpret, and present data to support decision-making, often utilizing tools like statistical software and programming languages such as R or Python.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming, statistical software, and critical thinking. Professionals in this field are in demand across industries such as healthcare, finance, and technology, with opportunities for advancement and specialization. The role typically involves working with large datasets and applying statistical methods to solve real-world problems.

What are the key skills and qualifications needed to thrive in the Applied Statistics position, and why are they important?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

What are the most commonly searched types of Applied Statistics jobs in California? The most popular types of Applied Statistics jobs in California are:
What are popular job titles related to Applied Statistics jobs in California? For Applied Statistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Applied Statistics jobs in California look for? The top searched job categories for Applied Statistics jobs in California are:
What cities in California are hiring for Applied Statistics jobs? Cities in California with the most Applied Statistics job openings:
Infographic showing various Applied Statistics job openings in California as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.
Associate Director, CMC Statistician

Associate Director, CMC Statistician

Vaxcyte

San Carlos, CA • On-site

Full-time

Posted 23 days ago


Job description

Join our Mission to Protect Humankind!
Vaxcyte is a clinical-stage vaccine innovation company engineering high-fidelity vaccines to protect humankind from the consequences of bacterial diseases, which have serious and costly health consequences when left unchecked. Working to eradicate or treat bacterial infections such as invasive pneumococcal disease, Group A Strep, and Shigella is just the beginning. Our path to success is clear and well-defined, and Vaxcyte is set up to go the distance.
WHAT we do is every bit as important as HOW we do it! Our work together is guided by four enduring core values:
*RETHINK CONVENTION: We bring creative and intellectual diversity to every facet of the work we do in order to innovate and re-innovate the way vaccines are delivered.
*AIM HIGH: We embody our collectively audacious goal to courageously make the most complex biologics ever attempted to protect humankind.
*LEAD WITH HEART: Everyone leads at Vaxcyte with a kindness-first, inclusive approach to collaboration and vigorous debate that advances our business objectives.
*MODEL EXCELLENCE: The magnitude of our challenge requires our shared commitment to demonstrating integrity, accountability, equality and clarity across communications and decision making.
Summary:
Vaxcyte is looking for an energetic and talented individual to join Vaxcyte's Global Analytical organization as Associate Director, CMC Statistician. The position will be an integral part of the Vaccine Specification Working Group (VSWG), providing statistical leadership for specification setting and Justification of Specifications (JOS) across late-stage development, PPQ, BLA readiness, and commercial lifecycle management. This individual will collaborate with Process Development, MSAT, Stability, Quality, Regulatory Affairs, Manufacturing, and external partners to develop statistically sound, patient-centric, and regulatory-ready approaches. The ideal candidate will bring deep CMC statistics experience in biotech/pharma, excellent technical writing and communication skills, and a practical, data-driven approach to cross-functional decision making.
Essential Functions:
  • Serve as the CMC statistical lead for the VSWG, supporting specification-setting strategy for drug substance, drug product, intermediates, raw materials, release testing, stability testing, and in-process testing.
  • Develop statistical strategies for specification and JOS using clinical experience, manufacturing experience, stability behavior, analytical variability, assay capability, and process capability.
  • Design and execute statistical analyses such as confidence intervals, prediction intervals, tolerance intervals, regression, ANOVA, DOE, equivalence testing, trend analysis, control charts, and Cpk/process capability analyses.
  • Provide statistical input to late-stage development, PPQ, BLA/MAA preparation, health authority responses, commercial readiness, and specification lifecycle management.
  • Author and review statistical sections of specification and JOS documents, CMC technical reports, regulatory submission sections, and briefing materials.
  • Assess analytical method performance and method lifecycle changes, including precision, transfer/bridging, comparability, and impact of analytical variability on specification decisions.
  • Partner with Process Development, MSAT, Stability, QA, RA, Manufacturing, and external partners to align statistical rationale with CMC control strategy and regulatory expectations.
  • Support PPQ, APR, and CPV activities by evaluating process consistency, state of control, trends, internal control limits, and capability relative to proposed or registered specifications.
  • Translate complex statistical concepts into clear recommendations for cross-functional teams, senior leaders, and non-statistical stakeholders; support audits, inspections, and health authority interactions as needed.

Requirements:
MS or PhD in Statistics, Biostatistics, Applied Statistics, Mathematics, Data Science, or a related quantitative discipline with 10+ years of experience in the pharmaceutical or biotechnology industry. Other combinations of education and/or experience may be considered.
  • Significant hands-on experience in CMC statistics, including specification setting, JOS preparation, analytical method evaluation, stability analysis, process validation, PPQ, CPV, and/or commercial manufacturing support.
  • Demonstrated experience supporting BLA, MAA, IND, or major health authority submissions and responses; BLA experience strongly preferred.
  • Strong understanding of late-stage and commercial specification-setting principles, including clinical relevance, patient-centric justification, manufacturing experience, analytical capability, stability data, and lifecycle considerations.
  • Experience with vaccines, biologics, complex modalities, multivalent products, conjugates, or adjuvanted products is strongly preferred.
  • Strong expertise in statistical methods used in CMC and analytical development, including regression, ANOVA, DOE, equivalence testing, tolerance/prediction intervals, control charts, process capability, and stability/shelf-life modeling.
  • Proficiency with statistical software such as R, SAS, JMP, Python, Minitab, or equivalent tools.
  • Comprehensive understanding of relevant regulatory expectations and guidance, including FDA, EU, WHO, and ICH principles applicable to biologics/vaccines, specifications, analytical methods, validation, stability, and lifecycle management.
  • Significant experience authoring technical and regulatory-ready documents, including statistical reports, JOS sections, protocols, validation reports, SOPs, and CMC submission content.
  • Excellent communication and interpersonal skills, both written and verbal; able to explain complex statistical concepts clearly and influence cross-functional decisions in a fast-paced environment.
  • Strong strategic and analytical decision-making skills; able to navigate ambiguity, prioritize across competing demands, and implement practical, phase-appropriate, and compliant approaches.
  • Self-starter with proven project management capability and the ability to work independently in a remote, matrixed, and highly collaborative environment.

Reports to: Senior Director, Global Analytical Lead - Commercial Readiness and Analytical Strategy
Location: San Carlos, CA
Work Arrangement: Remote
Compensation: The compensation package will be competitive and includes comprehensive benefits and an equity component.
Salary Range: $170,000 - $198,000
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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About Vaxcyte

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

San Carlos, CA, US

Year founded

2013