ZipRecruiter

Log In

1

Clinical Data Analyst Jobs in Riverside, CA (NOW HIRING)

Masimo

Engineer II, Algorithm

Irvine, CA

$120K - $150K/yr

Analyze physiological and clinical data sets to evaluate algorithm performance, accuracy, robustness, and reliability. * Support development activities across the algorithm lifecycle, including ...

Masimo

Engineer II, Algorithm

Irvine, CA · On-site

$120K - $150K/yr

Analyze physiological and clinical data sets to evaluate algorithm performance, accuracy, robustness, and reliability. * Support development activities across the algorithm lifecycle, including ...

AbbVie

Data Strategy Lead - Hybrid

Irvine, CA · On-site

$109K/yr

The Clinical Data Strategy and Operations (CDSO) Data Strategy Lead serves as the study start-up ... Leverages operational analytics and project management tools to optimize execution, track progress ...

AbbVie

Data Strategy Lead - Hybrid

Irvine, CA · Hybrid

Purpose: ​​The Clinical Data Strategy and Operations (CDSO) Data Strategy Lead serves as the ... Leverages operational analytics and project management tools to optimize execution, track progress ...

next page

Showing results 1-20

All JobsClinical Data Analyst JobsClinical Data Analyst Jobs in Riverside, CA

Clinical Data Analyst information

See Riverside, CA salary details

$18

$37

$63

How much do clinical data analyst jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for clinical data analyst in Riverside, CA is $37.93, according to ZipRecruiter salary data. Most workers in this role earn between $30.58 and $43.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Clinical Data Analyst, and why are they important?

To thrive as a Clinical Data Analyst, you need a solid background in data analysis, statistics, and healthcare concepts, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data management tools, programming languages like SQL or Python, and statistical software such as SAS or R, as well as knowledge of clinical databases and regulations like HIPAA, is crucial. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and convey insights to multidisciplinary teams. These skills ensure accurate data analysis, support evidence-based decision-making, and maintain compliance within clinical research and healthcare environments.

What are some common challenges Clinical Data Analysts face when ensuring data quality and integrity?

Clinical Data Analysts frequently encounter challenges such as inconsistent data entry, missing values, and discrepancies across various data sources. Ensuring data quality requires meticulous attention to detail and strong communication with clinical staff to resolve ambiguities or errors. Analysts also navigate evolving regulatory requirements and must stay current with best practices in data validation and cleaning to maintain compliance and reliability of clinical trial results. Collaborating closely with data managers, statisticians, and clinical teams is essential for addressing these challenges efficiently.

What is a Clinical Data Analyst?

A Clinical Data Analyst is a professional who manages and analyzes healthcare data to support clinical research and improve patient outcomes. They collect, process, and ensure the accuracy of medical data from clinical trials or healthcare systems. Their work helps identify trends, support decision-making, and ensure compliance with regulatory standards. Clinical Data Analysts often use specialized software to clean, validate, and report on large datasets. They play a critical role in maintaining the integrity and quality of clinical information.

Is 40 too late for data science?

For a Clinical Data Analyst or similar data science roles, starting at age 40 is not too late. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data management, often through online courses or certifications. Experience in healthcare or clinical environments can also be valuable in this field.

Do you need a degree to be a healthcare data analyst?

A degree is often preferred for a clinical data analyst role, but relevant experience, technical skills in data management and analysis, and proficiency with tools like SQL and Excel can also qualify candidates. Some employers may accept certifications or specialized training in healthcare data or informatics instead of a formal degree.

What healthcare jobs pay over $100k per year?

Clinical Data Analysts can earn over $100,000 annually, especially with experience, advanced skills in data management and statistical software, and certifications like Certified Health Data Analyst (CHDA). Other high-paying healthcare roles include physicians, surgeons, healthcare executives, and specialized nurses, often requiring advanced degrees and extensive experience.
What are the most commonly searched types of Clinical Data Analyst jobs in Riverside, CA? The most popular types of Clinical Data Analyst jobs in Riverside, CA are:
What are popular job titles related to Clinical Data Analyst jobs in Riverside, CA? For Clinical Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Clinical Data Analyst jobs in Riverside, CA look for? The top searched job categories for Clinical Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Clinical Data Analyst jobs? Cities near Riverside, CA with the most Clinical Data Analyst job openings:
Clinical Data Analyst jobs near you
Infographic showing various Clinical Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $78,897 per year, or $37.9 per hour.
Associate Director - Data Standards (Hybrid)

Associate Director - Data Standards (Hybrid)

AbbVie

Irvine, CA • On-site

$141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

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
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

What AbbVie employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

AbbVie logo

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

View All AbbVie Jobs

Apply