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Statistical Engineering Jobs in California (NOW HIRING)

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Statistical Engineering information

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.

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 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.
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 July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Principal Statistical Programmer

Principal Statistical Programmer

ImmunityBio

Culver City, CA โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Company Overview
ImmunityBio, Inc. (NASDAQ: IBRX) is a commercial-stage biotechnology company developing cell and immunotherapy products that are designed to help strengthen each patient's natural immune system, potentially enabling it to outsmart the disease and eliminate cancerous or infected cells. We envision a day when we no longer fear cancer, but can conquer it, thanks to the biological wonder that is the human immune system. Our scientists are working to develop novel therapies that harness that inherent power by amplifying both branches of the immune system, attacking cancerous or infected cells today while building immunological memory for tomorrow. The goal: to reprogram the patient's immune system and treat the host rather than just the disease.
Why ImmunityBio?
* ImmunityBio is developing cutting-edge technology with the goal to transform the lives of patients with cancer and develop next-generation therapies and vaccines that complement, harness and amplify the immune system to defeat cancers and infectious diseases.
* Opportunity to join a publicly traded biopharmaceutical company with headquarters in Southern California.
* Work with a collaborative team with the ability to work across different areas of the company.
* Ability to join a growing company with professional development opportunities.

Position Summary

A Principal Statistical Programmer is an expert in management, technical oversight, and quality of statistical programming activities related to the analyses of clinical trial data ensuring timelines and company strategic objectives are met. A CDISC SDTM specialist is a key team member on CDISC submission topics; provide industry leading CDISC expertise and programming leadership. They contribute to process improvements and initiatives within the Biometrics department as well as mentor and train junior staff members as applicable.

Essential Functions

  • Lead all aspects of the statistical programming activities including efficient programming techniques.
  • Lead all aspects of creation, validation, traceability, reproducibility, and maintenance of the analysis datasets and statistical outputs.
  • Contribute to and review of statistical analysis plans and analysis datasets specifications and prepare the electronic submission of clinical trial data to regulatory authorities.
  • Create specifications, develop, and validate of CDISC SDTM and regulatory deliverables (Define.xml, SDTM aCRF, cSDRG).
  • Provide input or lead data standardization efforts (e.g., CRF and database design, edit checks, standard statistical programs, data presentations, data standards such as CDISC STDM/ADaM, and e-submissions). Communicate with regulatory agencies regarding electronic data submission requirements.
  • Participate effectively as an ad-hoc member on clinical development and regulatory submission teams.
  • Provide effective solutions for complex statistical programming tasks.
  • Create and manage projects and study electronic subdirectories ensuring consistency in structure.
  • Contribute to the design, creation, and validation of global programming macros that streamline programming activities and increase efficiency.
  • Anticipate statistical programming resource needs and work with management to ensure adequate long-term resource allocation within a project
  • Conduct resource planning and budgeting for statistical programming activities of a project.
  • Participate in development of new processes or revision of existing processes.
  • Keep current with new statistical programming techniques and technical advancements.
  • As necessary, provide work direction, guidance, mentoring, influence and support to junior staff. Train junior staff in more complex statistical programming techniques.
  • Create, edit and adhere to Standard Operating Procedures (SOPs), process improvements, and standardization of templates.
  • Performs ad-hoc and cross-functional duties and/or projects assigned to support business needs and provide developmental opportunities.

Education & Experience

  • Bachelor's Degree in Statistics/Biostatistics, Computer Science, Mathematics or other field of study with at least 10+ years of relevant experience is required, OR
  • Master's Degree in Statistics/Biostatistics, Computer Science, Mathematics or other field of study with at least 8+ years of relevant experience is required.
  • 5+ years of experience as a statistical programmer in the pharmaceutical industry is preferred.
  • Expert in CDISC STDM guidelines
  • Expert in CDISC SDTM regulatory deliverables (Define.xml, SDTM aCRF, cSDRG)
  • Experience as a lead statistical programmer on several concurrent projects

Knowledge, Skills, & Abilities

  • Working knowledge of the clinical research, Good Clinical Practices, and regulatory requirements/guidelines.
  • Technically strong with regard to statistical programming processes and activities.
  • Highly proficient in SAS.
  • Excellent English verbal and written communication skills; good organizational and interpersonal skills.

Working Environment / Physical Environment

  • This position works onsite or remotely depending on the candidate's geographic location.
  • Regular work schedule is Monday - Friday, within standard business hours. Flexibility is available with manager approval.
  • Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer.
  • Lift and carry materials weighing up to 20 pounds.

Employee, Regular: Salary

This position is eligible for a discretionary bonus and equity award. The annual base pay range for this position is below. The specific rate will depend on the successful candidate's qualifications, prior experience as well as geographic location.

National Market (all markets unless identified as Premium)

$162,000 (entry-level qualifications) to $180,000 (highly experienced) annually

Premium Market (Premium markets include Los Angeles, San Diego, San Francisco, New York City, Chicago, & Boston)

$171,000 (entry-level qualifications) to $190,000 (highly experienced) annually

The application window is anticipated to close on 60 days from when it is posted or sooner if the position is filled or closed.

ImmunityBio employees are as valuable as the people we serve. We have built a resource of robust benefit offerings to best support the total wellbeing of our team members and their families. Our competitive total rewards benefits package, for eligible employees, include: Medical, Dental and Vision Plan Options * Health and Financial Wellness Programs * Employer Assistance Program (EAP) * Company Paid and Voluntary Life/AD&D, Short-Term and Long-Term Disability * Healthcare and Dependent Care Flexible Spending Accounts * 401(k) Retirement Plan with Company Match * 529 Education Savings Program * Voluntary Legal Services, Identity Theft Protection, Pet Insurance and Employee Discounts, Rewards and Perks * Paid Time Off (PTO) includes: 11 Holidays * Exempt Employees are eligible for Unlimited PTO * Non-Exempt Employees are eligible for 10 Vacation Days, 56 Hours of Health Pay, 2 Personal Days and 1 Cultural Day * We are committed to providing you with the tools and resources you need to optimize your Health and Wellness.

At ImmunityBio, we are an equal opportunity employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.