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Data Review Scientist Jobs in Riverside, CA (NOW HIRING)

Applies clinical science principles and knowledge to guide cross-functional partners and ... data through coordination with investigator authors, writes appropriate sections, and reviews ...

... data through coordination with investigator authors, writes appropriate sections, and reviews/revises abstracts and manuscripts. โ€ข Serve as an active member of study teams and provide scientific ...

Perform high-level data review and trend analysis to ensure data integrity, query resolution, and ... Bachelor's degree in Life Sciences, Nursing, or a related scientific discipline required. * Minimum ...

Maintain system and materials data base by writing computer programs and entering data. * Create ... Maintain professional and technical knowledge by attending educational workshops, reviewing ...

Stays on top of current scientific data by participating in monthly literature review and sharing key insights with global teams Qualifications Required: * Minimum of a bachelor's degree in Life ...

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... data review, and documentation in support of toxicology studies. The successful candidate will work in a fast-paced laboratory environment alongside experienced scientists and laboratory ...

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Data Review Scientist information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do data review scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data review scientist in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What does a data review scientist do?

A Data Review Scientist is responsible for reviewing, validating, and interpreting scientific data to ensure its accuracy, integrity, and compliance with regulatory standards. They often work in pharmaceutical, clinical, or research settings, analyzing experimental or clinical trial data for errors, inconsistencies, and completeness. Their work helps ensure that scientific findings are reliable and can be used to support research conclusions or regulatory submissions.

What are the key skills and qualifications needed to thrive as a data review scientist?

To thrive as a Data Review Scientist, you need a solid background in life sciences or related fields, strong analytical skills, and experience with data validation and interpretation. Familiarity with data management systems such as LIMS, proficiency in statistical analysis tools like SAS or R, and knowledge of regulatory guidelines (e.g., GxP, FDA) are typically required. Attention to detail, critical thinking, and effective communication help ensure accuracy and clarity when reviewing complex datasets and collaborating with cross-functional teams. These skills are crucial for maintaining data integrity and supporting regulatory compliance in scientific research and clinical trials.

What are some common challenges faced by data review scientists when ensuring data integrity in research projects?

Data Review Scientists often encounter challenges such as identifying inconsistencies in large datasets, resolving discrepancies between source documents and digital records, and ensuring strict adherence to regulatory standards like GLP or GCP. They must also coordinate with cross-functional teams, including laboratory staff and data managers, to clarify data queries and implement corrective actions promptly. Staying updated with evolving data management technologies and regulatory requirements is crucial for success and helps maintain the highest levels of data integrity throughout research projects.

What is the difference between Data Review Scientist vs Data Analyst?

AspectData Review ScientistData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; familiarity with data review toolsBachelor's degree in data analysis, statistics, or related field; proficiency in data visualization and analysis software
Work EnvironmentHealthcare, clinical trials, or research settings focusing on data quality and complianceBusiness, marketing, finance, or operations across various industries analyzing data trends
Employer & Industry UsagePharmaceutical companies, research institutions, healthcare organizationsCorporations, marketing agencies, financial firms, and tech companies

While both roles involve working with data, Data Review Scientists primarily focus on ensuring data quality and compliance in research or clinical settings, whereas Data Analysts interpret data to inform business decisions across diverse industries.

What are popular job titles related to Data Review Scientist jobs in Riverside, CA?

For Data Review Scientist jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Data Review Scientist jobs in Riverside, CA look for?

The top searched job categories for Data Review Scientist jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Review Scientist jobs?

Cities near Riverside, CA with the most Data Review Scientist job openings:

Associate Director - Data Standards (Hybrid)

Allergan

Irvine, CA โ€ข On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Company Description

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 Policies 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 - Demonstrates extensive understanding of SDTM, Standard Terminology and common coding dictionaries. Reviews SDTM conformance mapping specifications and corrects flaws proactively. Provides 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 is 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
  • Bachelor of Science
  • 12+ years of relevant clinical research experience (or 10+ years with a Masters)
  • Expert level of knowledge of at least three 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
  • 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 longโ€‘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 Companyโ€™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 โ€“ 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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