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Phd Statistics Jobs in Riverside, CA (NOW HIRING)

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Master's or PhD degree preferred. Language requirements: * Ability to read, write, and communicate ...

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering or a ... Solid understanding of statistical methods and machine learning models. * Experience with databases ...

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering or a ... Solid understanding of statistical methods and machine learning models. * Experience with databases ...

New

Engineer II, Algorithm

Irvine, CA · On-site

$120K - $150K/yr

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Master's or PhD degree preferred. Language requirements: * Ability to read, write, and communicate ...

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering or a ... Solid understanding of statistical methods and machine learning models. * Experience with databases ...

New

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Phd Statistics information

See Riverside, CA salary details

$23.7K

$93.7K

$173.6K

How much do phd statistics jobs pay per year?

As of Jul 21, 2026, the average yearly pay for phd statistics in Riverside, CA is $93,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,979.00 and $122,609.00 per year, depending on experience, location, and employer.

What can I do with PhD in statistics?

A PhD in statistics prepares individuals for advanced roles such as data scientist, quantitative researcher, biostatistician, or statistical consultant. Graduates often work in academia, government agencies, healthcare, finance, or technology sectors, utilizing skills in data analysis, modeling, and programming tools like R or Python.

What are the typical projects or research areas for someone with a PhD in Statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, teaching, and data analysis roles that often require strong quantitative and programming skills. While it can lead to higher-level positions and increased earning potential, it also involves significant time and financial investment, and job prospects depend on industry demand and specialization.

What are the key skills and qualifications needed to thrive in the Phd Statistics position, and why are they important?

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

Are statisticians highly paid?

Statisticians with a PhD often earn higher salaries due to advanced expertise and specialized skills in data analysis, modeling, and statistical software. Salaries vary by industry, experience, and location but generally tend to be above average compared to other roles in data-related fields.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or positions in finance, technology, or healthcare can offer higher salaries, often exceeding $150,000. Advanced skills in statistical software and data analysis increase earning potential.

What is a PhD Statistics job?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

What are the most commonly searched types of Phd Statistics jobs in Riverside, CA? The most popular types of Phd Statistics jobs in Riverside, CA are:
What are popular job titles related to Phd Statistics jobs in Riverside, CA? For Phd Statistics jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Phd Statistics jobs in Riverside, CA look for? The top searched job categories for Phd Statistics jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Phd Statistics jobs? Cities near Riverside, CA with the most Phd Statistics job openings:
Infographic showing various Phd Statistics job openings in Riverside, CA as of July 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $93,722 per year, or $45.1 per hour.
Modeling and Simulation Module Developer - Data & AI Acceleration (Hybrid)

Modeling and Simulation Module Developer - Data & AI Acceleration (Hybrid)

AbbVie

Irvine, CA • On-site

$58.75 - $76.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

12th of 74 rated pharmaceutical


Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

  • Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
  • Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
  • Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
  • Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
  • Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
  • Translate requirements into production-ready solutions through iterative collaboration with stakeholders
Qualifications

Minimum Qualifications

  • Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
  • Strong hands-on development experience in R
  • Experience building interactive dashboards and data applications
  • Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
  • Good statistical knowledge to ensure analytical rigor in delivered solutions
  • Familiarity with clinical development processes and trial design concepts
  • Software engineering best practices (version control, testing, CI/CD)
  • Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
  • Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

  • This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company's sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html


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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013