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Statistical Modeling Jobs in California (NOW HIRING)

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Statistical Modeling information

See California salary details

$36K

$54.6K

$97.7K

How much do statistical modeling jobs pay per year?

As of Sep 3, 2026, the average yearly pay for statistical modeling in California is $54,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $59,200.00 per year, depending on experience, location, and employer.

What is statistical modeling?

Statistical modeling is the process of using mathematical models and statistical techniques to analyze data, identify patterns, and make predictions or inferences. It involves building models that represent relationships between variables in real-world systems. These models can be used for forecasting, hypothesis testing, and decision-making in various fields such as business, science, and engineering. Statistical modeling helps turn raw data into actionable insights by quantifying uncertainty and highlighting significant trends.

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

To excel as a Statistical Modeler, a solid background in statistics, mathematics, and data analysis—often supported by a degree in a quantitative field—is essential. Proficiency with statistical software such as R, Python, SAS, or SPSS and familiarity with data visualization tools are typically required. Strong problem-solving skills, critical thinking, and effective communication help convey complex findings to non-technical stakeholders. These skills ensure accurate model development, actionable insights, and effective decision-making based on data.

What are some common challenges faced by professionals in statistical modeling roles, and how can they be managed?

Professionals in statistical modeling often encounter challenges such as dealing with incomplete or messy data, selecting the most appropriate modeling techniques, and clearly communicating complex results to non-technical stakeholders. Managing these challenges typically involves collaborating closely with data engineers and domain experts, employing robust data cleaning practices, and staying up-to-date with new statistical methods. Additionally, effective communication skills are essential for translating technical findings into actionable business insights, ensuring that modeling efforts drive real-world impact.

What is the difference between Statistical Modeling vs Data Analyst?

AspectStatistical ModelingData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; proficiency in statistical softwareDegree in data science, statistics, or related; strong analytical skills
Work EnvironmentResearch, academia, or data-driven industries; focus on model developmentBusiness, marketing, or finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in industries requiring predictive models and complex analysisUsed across various industries for data reporting and insights

Statistical Modeling involves creating mathematical models to understand data patterns and make predictions, often requiring advanced statistical knowledge. Data Analysts focus on interpreting data, generating reports, and providing actionable insights. While both roles work with data, Statistical Modeling emphasizes model development, whereas Data Analysts concentrate on data interpretation and presentation.

What do statistical modeling do?

Statistical modeling involves developing mathematical representations of data to analyze and predict patterns or outcomes. Professionals in this field use tools like statistical software and techniques such as regression or hypothesis testing to interpret data and support decision-making across various industries.

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

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

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

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

What cities in California are hiring for Statistical Modeling jobs?

Cities in California with the most Statistical Modeling job openings:

Statistical Modeling jobs near you
Infographic showing various Statistical Modeling job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $54,625 per year, or $26.3 per hour.

Biostatistician (Remote | $120-$170/hr)

Synthires

San Francisco, CA • On-site

$120 - $170/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description


Biostatistician


Position: Biostatistician


Type: Contract


Compensation: $120–$170/hour


Location: Remote


About the Opportunity

This opportunity is for experienced Biostatisticians with expertise in biostatistics, clinical research, statistical modeling, study design, data analysis, and regulatory standards to contribute to advanced AI research and evaluation projects.

In this role, you'll apply your expertise to evaluate complex statistical analyses, clinical research methodologies, study designs, and AI-generated scientific outputs. Your work will help improve the accuracy, reasoning, and analytical capabilities of next-generation AI systems.

No prior AI experience is required. Your biostatistical expertise, methodological rigor, clinical interpretation, and regulatory knowledge are the primary qualifications for success in this role.

Responsibilities

  • Evaluate AI-generated biostatistical analyses, clinical research outputs, and statistical methodologies for accuracy and scientific rigor.
  • Apply expertise in study design, hypothesis testing, regression analysis, survival analysis, and statistical modeling.
  • Analyze clinical trial data, observational studies, epidemiological data, and healthcare datasets.
  • Review experimental designs, statistical analysis plans, endpoints, sample size calculations, and data interpretation.
  • Assess the appropriateness of statistical methods, assumptions, models, and analytical approaches.
  • Identify methodological errors, statistical inconsistencies, biases, and potential limitations in analyses.
  • Translate complex biostatistical concepts and research findings into clear, structured documentation for AI training and evaluation.
  • Apply professional judgment to ensure methodological rigor, clinical relevance, regulatory sensitivity, and statistical accuracy.

Required Qualifications

  • Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Mathematics, or a related quantitative discipline.
  • Strong experience in biostatistical analysis, clinical research, healthcare research, or pharmaceutical research.
  • Expertise in statistical modeling, hypothesis testing, regression analysis, survival analysis, and experimental design.
  • Experience analyzing clinical trials, observational studies, or real-world healthcare data.
  • Proficiency in statistical software such as R, SAS, Python, SPSS, or Stata.
  • Strong understanding of clinical research methodologies, data interpretation, and statistical reporting.
  • Excellent analytical, problem-solving, written, and verbal communication skills.
  • Ability to work independently in a fully remote environment.

Preferred Qualifications

  • PhD in Biostatistics, Statistics, Epidemiology, Public Health, or a related field.
  • Experience working with clinical trials, pharmaceutical research, medical research, or regulatory submissions.
  • Familiarity with FDA, EMA, ICH, GCP, or other relevant regulatory guidelines.
  • Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks.
  • Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation.
  • Experience collaborating with cross-functional, clinical, research, or remote teams.

Compensation

  • Competitive compensation of $120–$170/hour.
  • Weekly payments.
  • Independent contractor engagement.

Application Process

  1. Easy Apply on LinkedIn
  2. Check Email for Next Steps
  3. Participate in Resume Evaluation & Interview Stage


Apply