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Statistical Engineer Jobs in California (NOW HIRING)

Xencor

CON-Statistical Programmer

San Diego, CA · On-site

$75 - $100/hr

Xencor is seeking a Contract Statistical Programmer to join our team. This position is based in San Diego, California, and follows a hybrid work arrangement, with the potential to be fully remote.

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All JobsStatistical Engineer JobsStatistical Engineer Jobs in California

Statistical Engineer information

See California salary details

$32.6K

$92.8K

$143.6K

How much do statistical engineer jobs pay per year?

As of Jun 21, 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 engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, software, or aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.

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 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.

Is AI replacing statisticians?

Statistical engineers and statisticians use AI and machine learning tools to analyze data and develop models, but AI is not replacing these roles. Instead, AI enhances their capabilities, requiring professionals to have skills in programming, data analysis, and understanding AI algorithms to interpret and implement AI-driven solutions effectively.

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, optimize processes, and ensure data quality to support decision-making in engineering or manufacturing environments.

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?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can reach or exceed $500,000 annually, especially with bonuses, stock options, or in high-cost-of-living areas. These roles often require advanced skills, extensive experience, and sometimes professional certifications or advanced degrees.
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 June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. 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.
CON-Statistical Programmer

CON-Statistical Programmer

Xencor

San Diego, CA • On-site

$75 - $100/hr

Contractor

Posted 2 days ago

Job description

Introduction:
Xencor is a public, clinical-stage biopharmaceutical company with locations in Pasadena and San Diego, California. We are advancing a pipeline of XmAb® bispecific T-cell engagers and other engineered drug candidates built on our differentiated technology platforms. Our goal is to develop high-impact therapeutics for patients with cancer and other serious diseases. More than 20 XmAb drug candidates engineered with our technology are in clinical development, and three XmAb medicines have been commercialized by partners. Xencor is seeking a Contract Statistical Programmer to join our team.
This position is based in San Diego, California, and follows a hybrid work arrangement, with the potential to be fully remote.
Summary:
This is a 6- to 8-month contract position supporting the Statistical Programming team.
Position Summary:
The Contract Statistical Programmer supports statistical analysis and reporting for clinical studies and related regulatory deliverables as an individual contributor on assigned projects.
Primary Responsibilities:
  • Support statistical programming activities for assigned studies and deliverables under the direction of internal team leadership.
  • Participate in cross-functional meetings as needed to support programming deliverables.
  • Contribute to study- and project-level programming plans and documentation.
  • Provide input on key study documents developed by other functions, including CRFs, data management plans, analytics outputs, and SAPs.
  • Communicate effectively with stakeholders to translate business needs into technical specifications and practical programming solutions.
  • Help ensure programming specifications align with deliverable requirements, ICH guidelines, Good Clinical Practice, and applicable regulatory standards.
  • Provide hands-on programming and validation support for clinical and regulatory deliverables, including CSRs, DSURs, investigator brochures, and publications.
  • Create CDISC-compliant deliverables, including annotated CRFs, datasets, and submission documentation for regulatory filings.
  • Develop and validate programs used to generate tables, listings, and figures for clinical study reporting and regulatory submission.
  • Write, modify, and maintain programs that generate diagnostics and listings to support data review and data management activities.
  • Support incoming and outgoing electronic data transfers, including sample reconciliation activities.
  • Develop and review programs to ensure data transfers are produced according to specification.
  • Contribute to the development and maintenance of statistical programming standards, tools, and processes.
  • Assist with the development of data monitoring tools, including visual analytics, patient profiles, and programming checks.
  • Create and maintain archives of programs, outputs, and analysis files.
  • Review draft clinical reports, manuscripts, presentations, and related materials to help ensure accurate reporting of results.
  • Support departmental and company objectives through high-quality, timely programming deliverables.
  • Provide time and resource estimates to support project planning.
  • Adhere to department and company policies, procedures, and performance expectations.
  • Perform other duties as assigned.

Education/Experience/Skills:
Bachelor's degree in Biostatistics, Statistics, or a related quantitative discipline required; Master's degree preferred. Candidates should have at least 6 years of statistical programming experience in the pharmaceutical, biotechnology, or contract research industry. Strong experience with SAS/Base, SAS/Macro, SAS/STAT, SAS/Graph, and SAS/SQL in a Windows environment is preferred, including development and validation of analysis datasets, tables, listings, and figures. Experience supporting clinical studies, regulatory submissions, and integrated summary safety and efficacy analyses is strongly preferred. Hematology/oncology experience is preferred.
Additional Qualifications:
  • Knowledge of CDASH and CDISC standards, including SDTM and ADaM, and experience transforming raw data to those standards.
  • Knowledge of relational databases, Good Clinical Practice, and 21 CFR Part 11 requirements.
  • Familiarity with safety data and coding dictionaries, including MedDRA and WHODrug.
  • Ability to create documentation required to support electronic submissions in eCTD format.
  • Ability to work independently and manage responsibilities with sound judgment and initiative.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Commitment to integrity, accountability, transparency, scientific rigor, and execution.
  • Demonstrated competencies aligned with Xencor's professional expectations for the role.

Expected Hourly Pay Range: $75.00 to $100.00 per hour
Actual compensation will depend on the selected candidate's qualifications, including skills, experience, and education. For additional information about Xencor, please see https://xencor.com/careers/.
Americans with Disabilities Act (ADA) Statement
The Company will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact HR@xencor.com.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.
Equal Employment Opportunity (EEO) Statement
The Company is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender or gender identity, national origin, disability status, protected veteran status or any other characteristic protected by state or federal law.
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About Xencor

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

201 - 500 Employees

Headquarters location

Pasadena, CA, US

Year founded

1997

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