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Statistical Engineer 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 ...

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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 22, 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.
Sr. Analyst, Stats Programming

Sr. Analyst, Stats Programming

Neurocrine Biosciences, Inc.

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 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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