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Statistical Analyst Jobs in California (NOW HIRING)

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Statistical Analyst information

See California salary details

$29.6K

$69.5K

$116K

How much do statistical analyst jobs pay per year?

As of Aug 20, 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.

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

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

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

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

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

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

What cities in California are hiring for Statistical Analyst jobs?

Cities in California with the most Statistical Analyst job openings:

What are popular job titles related to Statistical Analyst jobs in CA?

For Statistical Analyst jobs in CA, the most frequently searched job titles are:

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 Statistical Analyst

Summit Therapeutics

Palo Alto, CA • On-site

Full-time

Posted 11 days ago


Job description

About Summit:
Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Summit, we believe in building a team of world class professionals who are passionate about this mission, and it is our people who drive this mission to reality. Summit's core values include integrity, passion for excellence, purposeful urgency, collaboration, and our commitment to people. Our employees are truly the heart and soul of our culture, and they are invaluable in shaping our journey toward excellence.
Summit's team is inspired to touch and help change lives through Summit's clinical studies in the field of oncology. Summit has multiple global Phase 3 clinical studies, including:
Non-small Cell Lung Cancer (NSCLC)
  • HARMONi: Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR-mutated, locally advanced or metastatic non-squamous NSCLC who were previously treated with a 3rd generation EGFR TKI.
  • HARMONi-3: Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first-line metastatic NSCLC.
  • HARMONi-7: Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first-line metastatic NSCLC.

Colorectal Cancer (CRC)
  • HARMONi-GI3: Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy.

Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than China's National Medical Products Administration (NMPA). Summit is headquartered in Miami, Florida, and has additional offices in California, New Jersey, the UK, and Ireland.
Overview of Role:
The Principal Statistical Analyst will be responsible for supporting and/or leading the statistical programming activities for clinical trial data collection, analysis, reporting, visualization on all Summit drugs. Produce, review program codes and suggest alternative solutions that may be efficient. Allocate resource for project, manage project timeline, control quality of deliverables and ensure compliance of procedure. Interact with statisticians, data management, clinicians, medical writers, medical affairs personnel, and other members of Summit regulatory.
Role and Responsibilities:
  • Works closely with Biostatistics to implement statistical analysis of clinical trial data, working closely on the development and validation of ADaM specifications and datasets, and TLFs for analyses to support regulatory, medical affairs, and market access needs
  • Consolidate heterogeneous data source (e.g. clinical study databases, external databases, real world data) to prepare analysis-ready datasets supporting a particular project, study deliverable
  • Work closely with Biostatistician to implement CDISC SDTM and ADAM specification datasets
  • Perform compliance check and resolve any compliance issue during the process
  • Create documentation for regulatory filings including reviewers guides and data definition documents and ensure compliance per FDA guideline
  • Perform data analysis, statistical analysis, generate safety and efficacy tables, figures and listings using Base SAS, SAS macros, SAS/STAT, SAS/Graph, SAS/SQL and SAS/OD
  • Review Data Management Plan, Data monitoring plan and edit check specification
  • Implement data monitoring listings and SAS edit check to support team data monitoring
  • Evaluate scope of work for project or ad hoc requests on resource allocation, timeline buildup, and become the stakeholder on delivery
  • Validate work of other programmer/analysts at CRO or in-house to ensure appropriate validation process
  • Create, debug, validate or maintain company level macros that streamline repetitive operations to increase programming efficiency
  • Act as a liaison in study team between statistical programming, and other functional teams as needed
  • Leads or participates in the development of standard operating procedures (SOP)
  • Work on improving the efficiency and quality of existing workflows and mentors Statistical Programmers and Statistical analysts
  • All other duties as assigned

Experience, Education and Specialized Knowledge and Skills:
  • Bachelor's or Master's degree in Biostatistics, statistics, computer science or related field
  • Minimum 7+ years Pharmaceutical/Biotech programming experience. Experience working with Oncology trials preferred
  • Solid knowledge on CDISC standards including (SDTM, ADaM)
  • Good understanding and hands on experience on programming support for data monitoring and data clean/query process
  • Good understanding on clinical data coding dictionaries (MedDRA and WHODD)
  • High degree of technical competence and communication ability, both oral and written. Competent in SAS programming and Macro development
  • Working knowledge of current regulatory requirements and ICH guidance with deep understanding on clinical trial compliance requirements; Knowledge of Pinnacle 21
  • Pharmaceutical experience with clinical trials, including familiarity with expectations of regulatory agencies, especially FDA and EMEA, NDA/BLA or other regulatory filling experience, including ISS or ISE experience
  • The ability to work well under pressure and shifting priorities, both as a team leader and as a team member
  • The ability to plan, execute and manage project resources, timeline, and delivery with good skill on setting priorities
  • Ability to proactively identify and address project uncertainties to minimize risk
  • Strong problem solving and analytical skills
  • Fluency in 2 or more or relevant programming languages, such as R, Python will be plus
  • Ability to communicate clearly both oral and written

This is the pay for this position
Pay Transparency
$10-$20 USD
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation.
Summit does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Summit's Talent Acquisition team at recruiting@smmttx.com to obtain prior written authorization before referring any candidates to Summit.
Summit Therapeutics Inc. is an Equal Opportunity Employer and takes pride in creating and maintaining diverse environment. We do not discriminate in recruitment, hiring, training or promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.