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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 Sep 12, 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 is a statistical engineer?

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 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.

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 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.

How much do statistical engineers make?

Statistical engineers typically earn a median annual salary between $80,000 and $120,000, depending on experience, education, and location. They often work with data analysis, programming languages like Python or R, and statistical tools to support data-driven decision-making in organizations.

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 August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $92,798 per year, or $44.6 per hour.

Associate Director, Statistical Programming

Redwood City, CA • On-site

Corcept Therapeutics
Biotechnology Research and Development • 51 - 200 employees
Learn more about Corcept Therapeuticsexternal

$229K - $269K/yr

Full-time

Re-posted 2 days ago

Job description

For more than 25 years, Corcept has been singularly focused on the science of cortisol, a powerful hormone that when unregulated, can play a role in a broad range of diseases.
Our commercial portfolio includes treatments for hypercortisolism and oncology, and the company has discovered more than 1,000 proprietary selective cortisol modulators and glucocorticoid receptor antagonists. With advanced clinical trials in patients with hypercortisolism, solid tumors, ALS and liver disease, Corcept is unlocking the power of cortisol modulation to help address some of the most devastating diseases patients face today.
Corcept is headquartered in Redwood City, California. To learn more, visit www.corcept.com.
As a member of the Statistical Programming team, the Associate Director is responsible for the planning, execution, and quality of SAS programming to conduct statistical analyses in support of clinical trial results. This role is also responsible for submission readiness of study data packages per CDISC standards and FDA guidance, and enhancements of the statistical programming infrastructure of the Biometrics department as applicable.
Responsibilities:
  • Work with data management to review CRO generated case report forms, database specifications, and data transfer specifications
  • Review Statistical Analysis Plan, develop specifications, write and execute SAS programs for study data analysis and preparation for clinical study report
  • Develop specifications, build and execute SAS programs for internal data reviews, publications, exploratory, post-hoc and regulatory review
  • Develop SAS macros and tools for repeated program use for exploratory and post-hoc analyses.
  • Manage on-time and quality delivery of CRO-generated analyses results
  • Review & provide feedback on CRO generated Statistical Analyses Plans and SDTM and ADaM specifications for domain and analysis dataset development, CDISC compliance and and output displays
  • Validate data and results of statistical analyses generated by CROs
  • Manage internal programming resources for study deliverables as applicable
  • Stay current with regulatory requirements on CDISC and clinical regulatory programming standards
  • Utilize CDISC implementation guides and industry validation software to check compliance of CDISC data packages (SEND, SDTM, and ADaM, define.xmls and reviewer's guides)
  • Evaluate CDISC electronic data packages for completeness, regulatory standards compliance and submission readiness as applicable
  • Participate in standards governance and developing biometric department operational processes as applicable
  • Works with line manager and/or Head of Statistical Programming to establish and implement programming standards for validation, repeated use, and TMF archival of statistical programs and datasets

Preferred Skills, Qualifications and Technical Proficiencies:
  • In depth knowledge of SAS BASE, MACRO, STAT, GRAPH, ACCESS
  • In-depth knowledge of CDISC SDTM and ADaM specifications and associated regulatory guidances
  • In-depth knowledge of Pinnacle 21 and how to address errors, warnings to generate acceptable reviewer's guides (SDRG, ADRG)
  • Knowledge of clinical trial design, data collection, endpoints, statistical methods and standard data summary displays used in oncology and endocrine therapeutic areas preferred
  • Familiarity with data visualization tools (e.g Spotfire, Tableau, RShiny) a plus
  • Ability to operate independently in unstructured situations
  • Ability to communicate technical information to a non-technical audience

Preferred Education and Experience:
  • Sc/B.A. in Science, Statistics, Mathematics, Computer Science, Engineering, or related field (MS preferred)
  • 10+ years of experience in clinical trial development (late stage preferred)
  • FDA/EMEA submission experience a plus
  • Demonstrated ability for project management of statistical programming projects in clinical development
  • Experience managing delivery of statistical programming projects by CROs
  • Able to navigate uncertainty with creative problem solving
  • Ability to take a hands-on, "roll up your sleeves" approach

The pay range that the Company reasonably expects to pay for this headquarters-based position is $229,300 - $269,800; the pay ultimately offered may vary based on legitimate considerations, including geographic location, job-related knowledge, skills, experience, and education.
Applicants must be currently authorized to work in the United States on a full-time basis.
For information on how Corcept collects, uses, discloses, protects, and otherwise processes personal information and an explanation of the rights and choices available to you with respect to your personal information, please refer to our Privacy Notice link.
Corcept appreciates the commitment and hard work of all our team members as we strive to discover and develop novel treatments for patients with serious unmet medical needs.
Please visit our website at: https://www.corcept.com/
Corcept is an Equal Opportunity Employer
Corcept will not conduct interviews via text message or messaging platforms and will not ask you to download anything as part of your interview. Though we use third-party tools to help with advertising our jobs, please be vigilant in checking that the communication is in fact coming from Corcept.

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