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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.

Associate Director, 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 7 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)


At Neurocrine, strong leadership drives both business results and team success. We look for leaders who think strategically, anticipate what's ahead and set clear direction, while building and empowering high-performing teams. Successful leaders foster an environment where people are motivated to do their best work and deliver meaningful, measurable impact through sound decision-making and accountability. About the Role:Serves as the Program Lead Statistical Programmer on one or more clinical programs and provides statistical programming leadership and strategic input to plans and objectives for the area of responsibility. Brings strong technical expertise across clinical development, with an emphasis on building efficient, fit-for-purpose approaches for early-phase studies where precedent may be limited and study designs or data may require tailored solutions. Provides expert guidance on analysis, reporting, regulatory submission deliverables, programming processes, tools, standards, and procedures. Partners cross-functionally to strengthen programming practices, support effective progression of programs from early development into later-stage studies, and ensure high-quality, scalable delivery. May have direct reports.

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Your Contributions (include, but are not limited to):
  • Provides strategic and technical leadership for statistical programming across one or more clinical programs, helping establish effective ways of working, clear expectations, and scalable practices that support the broader organization.

  • Serves as the clinical program lead statistical programmer on one or more clinical programs and supports studies across the development lifecycle, including early-phase and proof-of-concept work.

  • Develops and implements efficient, fit-for-purpose approaches for analysis, reporting, and regulatory submission deliverables, including annotated CRFs, dataset transport files, define documents, and regulatory reviewer guides that appropriately address study-specific considerations.

  • Creates clear frameworks for programming strategy, resourcing, analysis, and delivery, and identifies opportunities to improve processes and technology to enable consistent, scalable execution across the portfolio.

  • Builds and shares expertise in specialized clinical data and study considerations, which may include PK/PD, biomarkers, local and specialty laboratories, healthy volunteers, patients, age groups, and other special populations.

  • Provides strong technical statistical programming leadership to the Statistical Programming function within Biometrics and acts as a technical resource and thought partner for statistical programmers and cross-functional stakeholders.

  • Plays a lead role in the development and implementation of programming standards and conventions and contributes to building statistical programming infrastructure that supports quality, consistency, and efficient delivery.

  • Continually assesses statistical programming workload and project requirements to ensure appropriate programming resources are available to meet project timelines and business priorities.

  • Plays a lead role in hiring, training, coaching, and oversight of in-house and contract statistical programmers supporting the analysis and reporting of clinical and nonclinical data for corporate development programs.

  • Contributes to the assessment of department software needs and identifies opportunities to use tools and technology to improve the scalability, consistency, and efficiency of statistical programming processes.

  • Contributes to the identification and selection of external vendors that provide specialized services to support the statistical programming function and oversees and validates vendor programming activities, including CDISC implementation, analysis reporting, and programming conventions.

  • Plays a lead role in the creation and validation of e-submission requirements, ensuring deliverables are compliant, clear, high quality, and appropriately tailored to the study and regulatory context.

  • Serves as primary/lead programmer for agency reporting deliverables such as DSUR/Annual Report and IB updates and performs the function of lead and/or quality control statistical programmer on projects as needed.

  • Performs other duties as assigned.

Requirements:

Typical Experience or Education:

  • BS/BA degree in a computer science, mathematics, statistics, or related field AND 10+ years of of experience in the biopharmaceutical (or CRO) industry as a statistical programmer with advanced knowledge of SAS, (Base, Stat, Macro, graph) required. Experience serving in a managerial role. Experience in the hiring, development, evaluation and support of junior staff and contractors OR

  • Master's degree in a computer science, mathematics, statistics, or related field AND 8+ years of similar experience noted above OR

  • PhD in a computer science, mathematics, statistics, or related field AND 6+ years of similar experience noted above OR

  • Previous managerial / functional management experience also required

  • Recognized as an internal thought leader with strong technical and business expertise within a strategic organization.

  • Requires broad understanding of the processes, procedures and systems used to accomplish the team's work and familiarity with the underlying concepts in other disciplines within the function.

  • Applies in-depth understanding of how own discipline integrates within the function and understands contribution to Neurocrine's achievement of business objectives.

  • Identifies and resolves technical, operational and organizational problems/problems relating to own discipline.

  • Advanced understanding of relational databases and experience working with complex data systems.

  • Frequently works cross-functionally as the representative for their area.

  • Strong leadership, coaching and development skills. Ability to effectively lead a team of statistical programmers with demonstrated proficiency in the hiring, training, and supervision of in-house and contract statistical programmers.

  • Strong organizational and time management skills with the ability to work independently and coordinate workload, under pressure, and in a team environment to meet established deadlines.

  • Proficiency with Microsoft Office Suite [Word, Excel, and PowerPoint].

  • Working knowledge of SDTM and ADaM datasets and the development of integrated databases.

  • Knowledge of regulatory requirements for dataset submissions (including SAS and CDISC standards) and relevant hands-on experience.

  • 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.

  • Strong negotiation and influencing skills.

  • Excellent project management skills.

  • Excellent communication skills.

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 $171,800.00-$235,000.00. 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.