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

CorVel Corporation

Data Science Manager

Irvine, CA · On-site

$150 - $210/hr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Play a key role in architectural decisions, technical design reviews, governance frameworks for ...

Corvel

Data Science Manager

Irvine, CA · Remote

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Play a key role in architectural decisions, technical design reviews, governance frameworks for ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Play a key role in architectural decisions, technical design reviews, governance frameworks for ...

BioTalent

Scientist

Tustin, CA · On-site

Ability to review analytical data, investigate issues, prepare technical documentation, and provide scientific leadership * Experience collaborating cross-functionally with QC, Manufacturing, Process ...

New

Vesync

Sr. Applied Behavioral Scientist

Tustin, CA

... who combines data science-level rigor with behavior change theory and hands-on expertise in ... Review and Validate Behavioral Logic and Algorithms: Provide expert review of intervention logic ...

New

Vesync

Sr. Applied Behavioral Scientist

Tustin, CA · On-site

... who combines data science-level rigor with behavior change theory and hands-on expertise in ... Review and Validate Behavioral Logic and Algorithms: Provide expert review of intervention logic ...

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Showing results 21-40

All JobsData Review Scientist JobsData Review Scientist Jobs in Riverside, CA

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:

Data Review Scientist jobs near you

Senior Principal Data Scientist, Advanced Forecasting

Edwards Lifesciences Corporation

Irvine, CA • On-site

$145K - $205K/yr

Full-time

Re-posted 10 days ago

Edwards Lifesciences rating

8.2

Company rating: 8.2 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

85th of 544 rated manufacturers

Job description

Imagine how your ideas and expertise can change a patient's life. Patients are at the heart of what we do at Edwards Lifesciences. Our Finance teams work hard to optimize our current and long-term success and enable our ongoing strategy of innovation, leadership, and focus. As part of the team, whether providing analysis, forecasting, or reporting financial information, your application of accurate financial business practices will play a fundamental role in how we impact the quality of life for patients all over the world.
This role sits at the intersection of Corporate Finance (FP&A) and advanced analytics / data science. The Senior Manager will serve as a bridge to translating data into actionable financial insights. This role will build and operationalize statistical forecasting and scenario models to improve planning accuracy and decision quality - partnering closely with Finance leaders and enabling this capability in our planning platform (Anaplan). The role will help stand up an Advanced Forecasting Center of Excellence across Finance, setting standards for advanced model governance, validation, and repeatable planning playbooks.
On-site in Irvine
How you'll make an impact:
  • Build and maintain data-driven forecasting models (time-series, AI/ML, causal/driver-based, Monte Carlo / probabilistic scenarios) for key financial and operational outcomes (revenue, margin, opex, cash flow, etc.)
  • Act as a strategic partner to the Anaplan planning program: define requirements for data-based forecasting and ensure outputs integrate cleanly into planning workflows.
  • Build "last mile" adoption: templates, dashboards, documentation, and stakeholder training so teams can consistently use the statistical outputs in planning and reviews.
  • Communicate complex findings clearly: concise executive narratives, visuals, and recommendations grounded in data.
  • Establish model testing/validation routines (back-testing, error metrics, drift monitoring) and create clear documentation for assumptions, limitations, and controls.
  • Partner with FP&A to marry insights from management forecasts with data-driven insights from the statistical forecasts.
  • Design scenario and sensitivity frameworks that quantify tradeoffs, risks, and uncertainty translating outputs into actionable insights for Finance and business leaders.
  • Stand up an Advanced Forecasting Center of Excellence: modeling standards, reusable code/modules, data definitions, governance, and prioritization intake.
  • Collaborate with Data/IT to improve pipelines, data quality/governance, and automation; ensure models are scalable, maintainable, and auditable.
  • Other incidental duties

What you'll need (Required):
  • Bachelor's Degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Biostatistics
  • A minimum of ten years of experience including either industry or industry/education or equivalent work experience (OR eight years with a Masters OR four years with a PH.D)

What else we look for (Preferred):
  • Strong hands-on capability in Python or R, plus SQL; comfortable with large datasets and model lifecycle basics.
  • Excellent communication and interpersonal skills, with the ability to engage stakeholders at all levels.
  • Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
  • Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com) preferred
  • Strict attention to detail
  • Extensive knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems.
  • Experience with planning platforms (e.g., Anaplan) and driver-based planning / forecasting frameworks.
  • Familiarity with cloud/data platforms (e.g., Databricks/Azure/AWS equivalents) and modern analytics workflows.
  • Experience setting standards, leading cross-functional work, and building repeatable playbooks.

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $145,000 to $205,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

What Edwards Lifesciences employees say

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About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958

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