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Statistical Programming Jobs in California (NOW HIRING)

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Statistical Programming information

See California salary details

$83.4K

$145.4K

$245.7K

How much do statistical programming jobs pay per year?

As of Sep 14, 2026, the average yearly pay for statistical programming in California is $145,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $157,900.00 per year, depending on experience, location, and employer.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

What are the key skills and qualifications needed to thrive as a statistical programmer?

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

What are the most commonly searched types of Statistical Programming jobs in California?

The most popular types of Statistical Programming jobs in California are:

What are popular job titles related to Statistical Programming jobs in California?

For Statistical Programming jobs in California, the most frequently searched job titles are:

What job categories do people searching Statistical Programming jobs in California look for?

The top searched job categories for Statistical Programming jobs in California are:

What cities in California are hiring for Statistical Programming jobs?

Cities in California with the most Statistical Programming job openings:

Infographic showing various Statistical Programming job openings in California as of September 2026, with employment types broken down into 2% Internship, 84% Full Time, 7% Part Time, 2% Temporary, and 5% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $145,363 per year, or $69.9 per hour.

Principal Analyst, Statistical Programming

San Diego, CA • On-site

Neurocrine Biosciences
Biotechnology Research and Development • 1 - 5K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 hours ago


Key responsibilities

  • Designs, develops, tests, maintains, validates, and documents SAS programs to evaluate clinical data and meet project requirements.

  • Provides technical leadership and expertise in programming standards, procedures, and infrastructure development for statistical programming.

  • Serves as the primary point of contact and lead for projects, overseeing vendor activities, supporting regulatory submissions, and managing programming resources.


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.