The role involves creating, managing, and analyzing large data sets, assisting with statistical modeling, and collaborating with faculty and external partners. Responsibilities : • Work closely ...
The role involves creating, managing, and analyzing large data sets, assisting with statistical modeling, and collaborating with faculty and external partners. Responsibilities : • Work closely ...
MD, PharmD) with 3 years of PK/PD or statistical modeling experience * 5 + years industry or relevant academic experience in pharmacometric analyses and/or applied bio-statistics of small molecules ...
MD, PharmD) with 3 years of PK/PD or statistical modeling experience * 5 + years industry or relevant academic experience in pharmacometric analyses and/or applied bio-statistics of small molecules ...
MD, PharmD) with 3 years of PK/PD or statistical modeling experience * 5 + years industry or relevant academic experience in pharmacometric analyses and/or applied bio-statistics of small molecules ...
MD, PharmD) with 3 years of PK/PD or statistical modeling experience * 5 + years industry or relevant academic experience in pharmacometric analyses and/or applied bio-statistics of small molecules ...
Principal Scientist - Modeling & Simulation
Thousand Oaks, CA · On-site
$150 - $190/hr
MD, PharmD) with 3 years of PK/PD or statistical modeling experience * 5 + years industry or relevant academic experience in pharmacometric analyses and/or applied bio-statistics of small molecules ...
Principal Scientist - Modeling & Simulation
Thousand Oaks, CA · On-site
$150 - $190/hr
MD, PharmD) with 3 years of PK/PD or statistical modeling experience * 5 + years industry or relevant academic experience in pharmacometric analyses and/or applied bio-statistics of small molecules ...
... modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel ... Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.
... modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel ... Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.
... modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel ... Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.
... modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel ... Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.
Strong expertise in statistical modeling, machine learning, predictive analytics, forecasting, and quantitative reasoning. Experience building predictive models such as retention, churn, conversion ...
Strong expertise in statistical modeling, machine learning, predictive analytics, forecasting, and quantitative reasoning. Experience building predictive models such as retention, churn, conversion ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Marketing Analytics Manager
San Diego, CA · On-site
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Marketing Analytics Manager
San Diego, CA · On-site
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...
Statistical Modeling information
See California salary details
$36K - $41.6K
21% of jobs
$42.2K is the 25th percentile. Wages below this are outliers.
$41.6K - $47.2K
35% of jobs
$47.2K - $52.8K
11% of jobs
$56.1K is the 75th percentile. Wages above this are outliers.
$52.8K - $58.5K
14% of jobs
$58.5K - $64.1K
4% of jobs
$64.1K - $69.7K
4% of jobs
$69.7K - $75.3K
1% of jobs
$75.3K - $80.9K
2% of jobs
$80.9K - $86.5K
3% of jobs
$86.5K - $92.1K
1% of jobs
$92.1K - $97.7K
3% of jobs
$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?
| Aspect | Statistical Modeling | Data Analyst |
|---|---|---|
| Required Credentials | Degree in statistics, mathematics, or related field; proficiency in statistical software | Degree in data science, statistics, or related; strong analytical skills |
| Work Environment | Research, academia, or data-driven industries; focus on model development | Business, marketing, or finance; focus on data interpretation and reporting |
| Employer & Industry Usage | Used in industries requiring predictive models and complex analysis | Used 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:
Assistant, Statistical Research Programmer PT, Limited Term
Irvine, CA • On-site
Full-time
Re-posted 3 days ago
Job description
Job Summary:
Chapman University School of Pharmacy is seeking an Assistant Statistical Research Programmer to support research initiatives in a multidisciplinary setting. The role involves creating, managing, and analyzing large data sets, assisting with statistical modeling, and collaborating with faculty and external partners.
Responsibilities:
• Work closely with the PI and collaborators in creating, managing, and analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records.
• Assist faculty and graduate researchers with statistical modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel modeling.
• Contribute to continuous improvement of departmental data infrastructure and workflow efficiency.
• Support research projects involving large administrative claims, EHR , survey, or clinical trial data.
• Collaborate with external collaborators in implementing machine learning algorithms.
• Perform other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.
• Python, SAS, or R for data management and statistical analysis.
• Exceptional problem-solving abilities with a solid understanding of statistical methods.
• Good, Strong interpersonal and communication skills.
• Ability to produce careful and detail-oriented work.
• Ability to work in a team environment.
• A minimum of one year of experience in statistical programming with Python, SAS, or R, with a preference for candidates proficient in at least two of the mentioned languages.
Preferred:
• Master’s Degree in related field.
• A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and preferably SaTScan™).
• Experience in writing and preparing manuscripts for publication.
• Thorough understanding and knowledge of epidemiological study design.
• Previous clinical or research training.
Company:
A top 50 research school, Chapman Pharmacy is an ACPE and WASC-accredited institution located in Irvine, California. Founded in , the company is headquartered in US, , with a team of 501-1000 employees. The company is currently Late Stage.
Chapman University School of Pharmacy is seeking an Assistant Statistical Research Programmer to support research initiatives in a multidisciplinary setting. The role involves creating, managing, and analyzing large data sets, assisting with statistical modeling, and collaborating with faculty and external partners.
Responsibilities:
• Work closely with the PI and collaborators in creating, managing, and analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records.
• Assist faculty and graduate researchers with statistical modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel modeling.
• Contribute to continuous improvement of departmental data infrastructure and workflow efficiency.
• Support research projects involving large administrative claims, EHR , survey, or clinical trial data.
• Collaborate with external collaborators in implementing machine learning algorithms.
• Perform other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.
• Python, SAS, or R for data management and statistical analysis.
• Exceptional problem-solving abilities with a solid understanding of statistical methods.
• Good, Strong interpersonal and communication skills.
• Ability to produce careful and detail-oriented work.
• Ability to work in a team environment.
• A minimum of one year of experience in statistical programming with Python, SAS, or R, with a preference for candidates proficient in at least two of the mentioned languages.
Preferred:
• Master’s Degree in related field.
• A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and preferably SaTScan™).
• Experience in writing and preparing manuscripts for publication.
• Thorough understanding and knowledge of epidemiological study design.
• Previous clinical or research training.
Company:
A top 50 research school, Chapman Pharmacy is an ACPE and WASC-accredited institution located in Irvine, California. Founded in , the company is headquartered in US, , with a team of 501-1000 employees. The company is currently Late Stage.