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Data Science Associate Jobs in Irvine, CA (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Moffitt

Moffitt Physician Scientist

Long Beach, CA

$199K - $304K/yr

... data resources; 3) numerous, collaborative and supportive faculty; 4) large patient volumes to ... Science Training Strong Research focus on cancers Assistant, Associate, or Professor level rank ...

Pwc

Digital Assets Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

... Associate, you will play a pivotal role in designing and implementing seamless integration ... Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ...

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Data Science Associate information

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$73K

$138.5K

How much do data science associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science associate in Irvine, CA is $73,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $63,900.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Irvine, CA?

The most popular types of Data Science jobs in Irvine, CA are:

What are popular job titles related to Data Science Associate jobs in Irvine, CA?

For Data Science Associate jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Associate jobs in Irvine, CA look for?

The top searched job categories for Data Science Associate jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Data Science Associate jobs?

Cities near Irvine, CA with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $73,032 per year, or $35.1 per hour.

Associate Director - Data Standards (Hybrid)

AbbVie

Irvine, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

16th 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

Lead, manage and develop a group of data standards experts to develop, implement and maintain end-to-end data standards from data collection to regulatory submission. Govern change control, publication and communication of new and updated data standards.

Responsibilities:

  • Responsible for compliance with applicable Corporate and Divisional Polices and procedures
  • Industry Standards - Maintains complete and in-depth understanding of all CDISC guidance documents and implementation guides as well as FDA guidance and regulation regarding electronic submission of data. Keeps abreast of industry trends in data mapping, data management, standards compliance methodologies, metadata management and data warehousing.
  • eCRF Design - Demonstrates extensive understanding of CDASH and SDTM standards and concepts. Able to critically review eCRF designs to ensure compatibility/conformance with CDASH/SDTM standards. Recognizes limitations if eCRF design and correct flaws proactively.
  • SDTM Conformance Mapping - Demonstrate extensive understanding of SDTM, Standard Terminology and common coding dictionaries. Reviews SDTM conformance mapping specifications and corrects flaws proactively. Provide input and CDISC expertise to cross-functional activities such as mapping of source data to SDTM.
  • CDISC Validation Tools - Demonstrates knowledge of rules for SDTM and the associated define.xml file or rules for ADaM and the associated define.xml file and able to appropriately interpret results from common validation tools. Executes validation tools and collaborates with other functions to resolve identified issues.
    Ensure any unresolved issues are appropriately documented (for example in the FDA's Data Reviewer's Guides)"
  • Metadata Repository - Responsible for managing libraries of CDISC-related metadata, terminology and related standards within the metadata repository. Provides governance oversight to Manager, Data Standards to ensure consistency in metadata.
  • Policies & Procedures - Assist in the development of data standards policies, procedures and practices.
  • Communication - Clearly communicates an understanding of clinical data standards concepts, clinical principles, and regulatory guidance and acts in accordance with those principles. Effectively presents data standards concepts and logical arguments to statistical programmers, statisticians, data scientists, clinical development and regulatory. Able to diplomatically and persuasively represent the interests of the Data Standards group in cross-functional initiatives.
  • Training & Mentoring - Be compliant with training requirements. Effectively mentor peers, Manager, Data Standards, Sr Data Standards Analysts and Data Standards Analysts with regard to data standards and functional operations. Train new Data Standards Analysts on process and systems related to the management and implementation of data standards.
  • CDISC involvement - Maintains external reputation of a clinical data standards expert. Ensures consolidated review comments from Data Standards group and Statistical Programming are provided for applicable CDISC standards released for public review. Submits at least one abstract per year for presentation at a CDISC Interchange.
Qualifications

Minimum Qualifications:

  • Bachelors of Science
  • 12+ years of relevant clinical research experience (or 10+ years with a Masters)
  • Expert level of knowledge of at least 3 areas of clinical data standards, and high level of knowledge in at least one additional area. (Areas include CDASH, SDTM, ADaM, define.xml, controlled terminology and metadata management.)
  • Familiarity with other clinical data standards including BRIDG, ODM and SHARE
  • Experience in mapping and converting legacy data into SDTM domains for eCTD submissions. Minimum of two successful submissions of CDISC compliant data.
  • Knowledge of international regulations, requirements and guidance associated with clinical data standards and the preparation of data sets for regulatory submission.
  • Experience with metadata repository technology and its application in clinical data standards processes and experience with data standards governance
  • Experience in management of metadata to support efficient use of systems and processes

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 long-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

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