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Statistical Programmer Jobs in Los Angeles, CA (NOW HIRING)

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Statistical Programmer information

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$91K

$158.7K

$268.3K

How much do statistical programmer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for statistical programmer in Los Angeles, CA is $158,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $172,400.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

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

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

What are the most commonly searched types of Statistical Programmer jobs in Los Angeles, CA?

The most popular types of Statistical Programmer jobs in Los Angeles, CA are:

What are popular job titles related to Statistical Programmer jobs in Los Angeles, CA?

For Statistical Programmer jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Statistical Programmer jobs in Los Angeles, CA look for?

The top searched job categories for Statistical Programmer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Statistical Programmer jobs?

Cities near Los Angeles, CA with the most Statistical Programmer job openings:

Infographic showing various Statistical Programmer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,708 per year, or $76.3 per hour.

Statistical Programmer/Sr. Statistical Programmer

Arrowhead Pharmaceuticals

Pasadena, CA • On-site

$90K - $135K/yr

Full-time

Re-posted 9 days ago


Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
We are seeking a statistical programmer to join our growing biometrics team to support clinical studies across Arrowhead's expanding portfolio. This is an exciting opportunity for a candidate trained in statistical methods and analysis who has some or limited prior experience working as a statistical programmer. They will initially contribute their expertise in the area of statistical programming, with a goal to develop as a clinical trial statistician.
Responsibilities
  • Develop targeted, study-specific SDTM and ADaM dataset checks
  • Perform independent QC, from raw data to ADaM, of primary and key secondary endpoints
  • Deliver programming results for ad-hoc analysis requests
  • Collaborate with data management and their programming team to ensure appropriate data collection and reporting
  • Participate in study team meeting and support statistician operational activities
  • Assist in efforts to identify, develop, and implement departmental standards, applications, processes and training

Requirements
  • Master's degree in Biostatistics/Statistics
  • Basic understanding of clinical trials
  • Working knowledge of SAS, including complex data manipulation and basic analysis procedures; or certifications for SAS programming
  • Excellent verbal and written communication skills

Preferred
  • Familiarity with CDISC standards, derivation of SDTM and ADaM specifications
  • Simulations and sample size calculation
  • Proficiency in R
  • CRO experience

California pay range
$90,000-$135,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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