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Statistical Analyst Jobs in California (NOW HIRING)

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Statistical Analyst information

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$29.6K

$69.5K

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How much do statistical analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical analyst in California is $69,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $79,900.00 per year, depending on experience, location, and employer.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.
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Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in California as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $69,528 per year, or $33.4 per hour.

Principal Analyst, Statistical Programming

Neurocrine Biosciences

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Who We Are:

Neurocrine Biosciencesis 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 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, visitneurocrine.com, and follow the company onLinkedIn,X, Facebook and YouTube. (*in collaboration with AbbVie)


About the Role:Plays a lead role in designing, developing, testing, maintaining, validating, and documenting 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 advanced technical expertise to the development of programming standards and procedures. This role will be on-site at our beautiful campus, the ideal candidate will live in the San Diego area.

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Your Contributions (include, but are not limited to):

  • Provides advanced technical statistical programming leadership to the Statistical Programming function within Biometrics and be a technical resource for statistical programmers

  • Participates in hiring, training, and oversight of statistical programmers to support the analysis and reporting of data from clinical and nonclinical studies for all corporate development programs

  • Serves as the lead on projects and primary Statistical Programming point of contact on large, multidisciplinary projects company wide

  • Provides technical direction in the development and implementation of programming standards and conventions, building statistical programming infrastructure

  • Contributes to the assessment of workload and projects in order to ensure appropriate programming resources are available to complete tasks in a timely manner

  • Oversees and validates vendor programming activities such as CDISC implementation, analysis reporting, and programming conventions.

  • Supports creation and validation of e-submission requirements (i.e. annotated CRF, datasets files, define documents)

  • Serves as primary/lead programmer for agency reporting deliverables such as DSUR/Annual Report and IB updates

  • Performs the function of lead and/or quality control statistical programmer on projects as needed

  • Performs other duties as assigned

Please note: this is an on-site position only.

Requirements:
  • BS/BA degree in computer science, mathematics, statistics, or related discipline AND 6+ years of experience in the Biopharmaceutical (or CRO) industry as a statistical programmer with advanced knowledge of SAS, (Base, Stat, Macro, graph), CDISC data structures. In addition, must have at least three years of experience serving in a supervisory or lead capacity. Experience managing large projects and external vendors. OR
  • Master's degree in computer science, mathematics, statistics, or related discipline AND 4+ years of similar experience noted above OR
  • PhD in computer science, mathematics, statistics, or related discipline AND 2+ years of similar experience noted above
  • Has knowledge of best practices in the functional discipline and familiarity with the broader underlying concepts of related business disciplines
  • Works to improve tools and processes within functional area
  • Developing reputation inside the company as it relates to area of expertise
  • Ability to work as part of and lead multiple teams
  • Exhibits leadership skill and ability, typically leads lower levels and/or indirect teams
  • Excellent computer skills
  • Excellent communications, problem-solving, analytical thinking skills
  • Sees broader picture, impact on multiple departments/divisions
  • Ability to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiency
  • Excellent project management skills
  • Proficiency with Word, Excel, and PowerPoint is required as is the ability to communicate effectively both verbally and in writing
  • Advanced SAS programming skills and expertise in the development and implementation of statistical programming SOPs and processes in a clinical environment
  • Knowledge of all aspects of writing, validating, and documenting statistical programs, and of creating integrated programming libraries and systems
  • Experience in project management with minimum supervision. Demonstrate ability to effectively organize and manage multiple assignments with challenging timelines across multiple personnel
  • Advanced understanding of relational databases and experience working with complex data systems
  • Demonstrates expert knowledge with industry standards, such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
  • Advanced programming skills in SAS, (Base, Stat, Macro, graph), R, STAT or similar
  • Advanced knowledge of SDTM domains, ADaM data sets, and Define.xml files with proficiency in creating specification files for these domains

#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.

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The annual base salary we reasonably expect to pay is $130,800.00-$179,000.00. 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 30% 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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