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Statistical Engineering Jobs in California (NOW HIRING)

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Statistical Engineering information

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

How does a statistical engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

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 quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What are popular job titles related to Statistical Engineering jobs in California?

For Statistical Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in California look for?

The top searched job categories for Statistical Engineering jobs in California are:

What cities in California are hiring for Statistical Engineering jobs?

Cities in California with the most Statistical Engineering job openings:

Infographic showing various Statistical Engineering job openings in California as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

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 5 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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