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Statistical Engineering 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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Statistical Engineering information

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$61.8K

$72.4K

$80.8K

How much do statistical engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for statistical engineering in California is $72,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $77,300.00 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 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 engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

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 much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

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:
Statistical Engineering jobs near you
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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