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Statistical Engineering Jobs in California (NOW HIRING)

Erasca

SVP Biometrics

San Diego, CA

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

Erasca

SVP Biometrics

San Diego, CA

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

Erasca

SVP Biometrics

San Diego, CA · On-site +1

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

Erasca

SVP Biometrics

San Francisco, CA

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

Jazz Pharmaceutical

Sr Principal Statistician

Palo Alto, CA · On-site

$102K - $125K/yr

Experience in using SAS and R; knowledge of other statistical applications and programming languages a plus. * Knowledge of applicable regulatory requirements and guidelines, e.g., ICH Guidelines and ...

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Statistical Engineering information

See California salary details

$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
Sr. Analyst, Stats Programming

Sr. Analyst, Stats Programming

Neurocrine Biosciences, Inc.

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Who We Are:
Neurocrine Biosciences is a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering, developing and commercializing life-changing treatments for patients with under-addressed neurological, psychiatric, endocrine and immunological disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, hyperphagia in patients with Prader-Willi syndrome, endometriosis* and uterine fibroids*, as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X, Facebook and YouTube. (*in collaboration with AbbVie)
About the Role:
Designs, develops, tests, maintains, validates, and documents SAS programs to evaluate clinical data and meet the project requirements for SAS statistical programming efforts for clinical and non-clinical projects and studies. Provides technical expertise to the development of programming standards and procedures.
Your Contributions (include, but are not limited to):
  • Serves as the primary project team representative, delegating work as appropriate
  • Generates SDTM domains, ADaM data sets, and Define.xml files with proficiency in creating specification files for these domains
  • Generates analysis data sets, tables, figures, and listings to support the analysis of clinical trials data
  • Reviews output across programs to ensure consistency
  • Reviews maintains and approves study documents per standard procedures
  • Provides programming support to supplemental or exploratory analyses for regulatory agencies or any other internal and external ad-hoc requests
  • Programs, tests, and documents global utility programs and tools in accordance with standards and validation procedures
  • Provides technical expertise to the development of programming standards and procedures, technical expertise in the areas of analysis and reporting
  • Participates in the development and/or maintenance of departmental procedures and standards
  • Performs programming using techniques such as macro language, advanced data manipulation, and statistical procedures
  • Implements data management plans designed to meet project and protocol deadlines
  • Acts as a liaison between clinical management, subcommittees and project teams as needed
  • May train and mentor new programmers
  • Performs other duties as assigned

Requirements:
  • BS/BA degree in computer science, mathematics, statistics, or related discipline AND 4+ years experience in the Biopharmaceutical (or CRO) industry as a statistical programmer with advanced knowledge of SAS, (Base, Stat, Macro, graph). In addition, must have at least three years of experience serving in a supervisory or lead capacity. Experience managing projects OR
  • Master's degree in computer science, mathematics, statistics, or related discipline AND 2+ years of similar experience noted above OR
  • PhD in computer science, mathematics, statistics, or related discipline AND similar experience as noted above
  • Understands key business drivers and uses this understanding to accomplish work
  • Has strong understanding of processes, procedures and systems used to accomplish the work and recognizes downstream impact on other functional areas
  • Proficient with tools and processes that support work conducted by functional area
  • Ability to work as part of a team; may train lower levels
  • Excellent computer skills
  • Strong communications, problem-solving, analytical thinking skills
  • Detail oriented yet can see broader picture for department
  • Ability to meet multiple deadlines, with a high degree of accuracy and efficiency
  • Strong project management skills
  • Strong interpersonal skills to effectively work in a team environment
  • Excellent organizational skills, time management, and ability to coordinate workload and meet established deadlines
  • Proficiency with Word, Excel, and PowerPoint is required as is the ability to communicate effectively both verbally and in writing
  • Demonstrates strong knowledge with industry standards, such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
  • Strong programming skills in SAS, (Base, Stat, Macro, graph), R, STAT or similar
  • Strong knowledge of SDTM domains, ADaM data sets, and Define.xml files with proficiency in creating specification files for these domains
  • Strong knowledge of writing, validating, and documenting statistical programs, and of creating integrated programming libraries and systems
  • Strong understanding of relational databases and experience working with complex data systems

We will make multiple hires at this level.
#LI-SA1
Neurocrine Biosciences is an EEO/Disability/Vets employer.
We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.
The annual base salary we reasonably expect to pay is $110,800.00-$151,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 20% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.

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