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Statistical Engineer Jobs in California (NOW HIRING)

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Statistical Engineer information

See California salary details

$32.6K

$92.8K

$143.6K

How much do statistical engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for statistical engineer in California is $92,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $107,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong skills in statistical analysis, mathematics, and data interpretation, usually backed by a degree in statistics, engineering, or a related field. Familiarity with statistical software (such as R, SAS, or Python), data visualization tools, and knowledge of quality control systems are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data-driven decision-making and process optimization, which are vital for organizational success.

What are Statistical Engineers?

Statistical Engineers are professionals who apply statistical methods and techniques to solve engineering and production-related problems. They analyze data, design experiments, and develop models to optimize processes, improve product quality, and support decision-making in various industries. Their work often involves collaborating with engineers, scientists, and business teams to interpret data and implement solutions that enhance efficiency and reliability.

What is the salary of a Statistical Engineer?

The average salary of a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often work with statistical software and data analysis tools, and advanced certifications can influence earning potential.

What is the difference between Statistical Engineer vs Data Scientist?

AspectStatistical EngineerData Scientist
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related field; often some programming skillsBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentFocus on developing and optimizing statistical models, often in engineering or manufacturing settingsAnalyze large datasets, build predictive models, and communicate insights across various industries
Employer & Industry UsageUsed in manufacturing, engineering, and technology sectors for process improvementCommon in tech, finance, healthcare, and marketing for data analysis and modeling

While both roles require strong statistical knowledge and programming skills, Statistical Engineers primarily focus on developing and implementing statistical models within engineering contexts. Data Scientists tend to work more broadly on analyzing data, building predictive models, and deriving insights across diverse industries.

What does a Statistical Engineer do?

A Statistical Engineer designs and applies statistical models and data analysis techniques to solve complex problems, often working with large datasets and programming tools like R or Python. They develop algorithms, validate data quality, and collaborate with teams to improve processes and decision-making based on quantitative insights.

Are statisticians highly paid?

Statistical engineers and statisticians are generally well-paid professions, with salaries often above the national average due to their specialized skills in data analysis, modeling, and programming. Compensation varies based on experience, education, industry, and location, with roles requiring proficiency in tools like R, Python, or SAS typically offering higher salaries.

How does a Statistical Engineer typically collaborate with cross-functional teams in a project-driven environment?

Statistical Engineers often work closely with professionals from diverse fields such as data science, software engineering, quality assurance, and business analytics. In a project-driven environment, they are responsible for designing experiments, analyzing large datasets, and interpreting results to inform decision-making. Collaboration usually involves participating in regular meetings, communicating complex statistical findings in an accessible way, and ensuring that analytical methods align with the team's objectives. This cross-functional teamwork not only enhances project outcomes but also helps Statistical Engineers develop broader professional skills and a deeper understanding of the organization's operations.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering with senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses or stock options.
What are popular job titles related to Statistical Engineer jobs in California? For Statistical Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistical Engineer jobs in California look for? The top searched job categories for Statistical Engineer jobs in California are:
Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in California as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $92,798 per year, or $44.6 per hour.

Statistical Programmer/Sr. Statistical Programmer

Arrowhead Pharmaceuticals

Pasadena, CA • On-site

$90K - $135K/yr

Full-time

Re-posted 2 days ago

Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
We are seeking a statistical programmer to join our growing biometrics team to support clinical studies across Arrowhead's expanding portfolio. This is an exciting opportunity for a candidate trained in statistical methods and analysis who has some or limited prior experience working as a statistical programmer. They will initially contribute their expertise in the area of statistical programming, with a goal to develop as a clinical trial statistician.
Responsibilities
  • Develop targeted, study-specific SDTM and ADaM dataset checks
  • Perform independent QC, from raw data to ADaM, of primary and key secondary endpoints
  • Deliver programming results for ad-hoc analysis requests
  • Collaborate with data management and their programming team to ensure appropriate data collection and reporting
  • Participate in study team meeting and support statistician operational activities
  • Assist in efforts to identify, develop, and implement departmental standards, applications, processes and training

Requirements
  • Master's degree in Biostatistics/Statistics
  • Basic understanding of clinical trials
  • Working knowledge of SAS, including complex data manipulation and basic analysis procedures; or certifications for SAS programming
  • Excellent verbal and written communication skills

Preferred
  • Familiarity with CDISC standards, derivation of SDTM and ADaM specifications
  • Simulations and sample size calculation
  • Proficiency in R
  • CRO experience

California pay range
$90,000-$135,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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