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Phd In Statistics Jobs in Irvine, CA (NOW HIRING)

Bachelor's or Master's degree in statistics, mathematics, analytics, bioinformatics, data science, computer science or equivalent field with 4+ years (BS), 2+ years (MS) or 1+ years (PhD) of related ...

Bachelor's or Master's degree in statistics, mathematics, analytics, bioinformatics, data science, computer science or equivalent field with 4+ years (BS), 2+ years (MS) or 1+ years (PhD) of related ...

Senior NDE Engineer

Long Beach, CA · On-site

$93K - $126K/yr

S. and/or PHD in Engineering with a focus on one or more NDE methods * Experience performing statistical analyses including linear and multi-linear regression, Guassian and Bayesian probabilities ...

MS or PhD in Electrical Engineering * 6+ years of mixed-signal and analog design experience. Design ... the statistical analysis of Monte Carlo simulation results. * Strong understanding of layout ...

Senior NDE Engineer

Long Beach, CA · On-site

$93K - $126K/yr

S. and/or PHD in Engineering with a focus on one or more NDE methods * Experience performing statistical analyses including linear and multi-linear regression, Guassian and Bayesian probabilities ...

Senior NDE Engineer

Long Beach, CA · On-site

$93K - $126K/yr

S. and/or PHD in Engineering with a focus on one or more NDE methods * Experience performing statistical analyses including linear and multi-linear regression, Guassian and Bayesian probabilities ...

Manufacturing Engineer

Cypress, CA · On-site

$94K - $153K/yr

JD/PhD in Science, Technology or Engineering, OR * 5+ years of experience in Manufacturing ... Proficiency in using statistical tools to assess process performance against specification limits ...

Manufacturing Engineer

Cypress, CA · On-site

$95 - $154/hr

Master's degree in Science, Technology or Engineering. * JD/PhD in Science, Technology or ... Proficiency in using statistical tools to assess process performance against specification limits ...

Manufacturing Engineer

Cypress, CA · On-site

$94K - $153K/yr

JD/PhD in Science, Technology or Engineering, OR * 5+ years of experience in Manufacturing ... Proficiency in using statistical tools to assess process performance against specification limits ...

Drive innovation by researching and implementing new methodologies, statistical techniques, and ... PhD in Machine Learning, Computer Science, or a related field. * Experience in the Ad Tech industry ...

Showing results 21-40

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Irvine, CA?

For Phd In Statistics jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Phd In Statistics jobs in Irvine, CA look for?

The top searched job categories for Phd In Statistics jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Phd In Statistics jobs?

Cities near Irvine, CA with the most Phd In Statistics job openings:

Infographic showing various Phd In Statistics job openings in Irvine, CA as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AI Engineering Analyst (Hybrid)

AbbVie

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

14th of 86 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 AI Engineering Analyst will internalize and scale agentic statistical programming platform (Helix). The initial focus of the role will be to contribute towards solution testing, gain a strong understanding of the system design and configuration. Next phase will be focused on developing agents to scale the platform across multiple therapeutic areas and study designs. In addition, the role will help optimize business workflows. Long-term, the role will focus on building and deploying AI solutions including agent platforms, AI co-pilots, code generation harnesses, evaluation frameworks, and agentic research pipelines using modern AI and AbbVie enterprise frameworks integrated with internal DSS systems and data platforms.

The hired associated will partner closely with internal stakeholders such as statisticians, stats programmers, data scientists, and other business teams to understand user needs, and rapidly iterate on building AI solutions, and evolve successful use cases into reusable capabilities. Test and evaluate foundation models, agent architectures, and AI workflows, making practical technical decisions based on reliability, security, cost, business impact, etc. Deliver high-quality, maintainable AI products and solutions through sound AI engineering practices, automated testing, and thoughtful code deployments.

Responsibilities:

  • Build production-grade AI solutions including agent platforms, AI co-pilots, code generation harnesses, evaluation frameworks, and agentic research pipelines using modern AI and AbbVie enterprise frameworks integrated with internal systems and data platforms
  • Collaborates with Statisticians & Data Scientists to enable streamlined data flow for the Data & Statistical Sciences capabilities across clinical development
  • Evaluate foundation models, agent architectures, and AI workflows, making practical technical decisions based on reliability, security, cost, business impact, etc.
  • Operate, monitor, and continuously improve production AI solutions by optimizing quality, reliability, latency, cost efficiency, governance, and user outcomes.
  • Develop, construct, test and maintain architectures (such as databases and large-scale process systems) to support AI & Analytics projects within Clinical Development
  • Build data products and service processes which perform data transformation, metadata extraction, workload management and error processing management
  • Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting
  • Adhere to best practices for coding, testing and designing reusable code/component
  • Contribute to the discovery and understanding of new tools, and techniques and propose improvements to the data pipeline
  • Develop data set processes for data modeling, mining and production
Qualifications

Minimum Qualifications:

  • Bachelor’s or Master's degree in statistics, mathematics, analytics, bioinformatics, data science, computer science or equivalent field with 4+ years (BS), 2+ years (MS) or 1+ years (PhD) of related experience
  • 1+ year experience within building production-grade AI solutions using modern AI frameworks such as LangGraph, LangChain, Strands Agents, etc.
  • Experience with one or more general purpose programming languages, including but not limited to: Java, Python, R, Scala, C, C++, C#, Swift/Objective C, or JavaScript
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization

Preferred Qualifications:

  • Biotech / Pharma experience is a plus
  • Having strong programming experience in both Python and R is preferred
  • Experience in Amazon Web Services eco-system preferred
  • Experience in publishing analytics output in R Shiny and/or Plotly Dash is preferred

Other Required Skills:

  • Good communication and presentation skills, being able to explain complex problems and the solutions applied, and comfortable in presenting technical solutions to a nontechnical audience
  • Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively

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 role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors 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