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

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking for a ... Contributions to peer-reviewed research, patents, or open-source ML projects. The typical base pay ...

Skyworks

Sr. Data Scientist

Irvine, CA

$114K - $220K/yr

Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data ... Contributions to peer-reviewed research, patents, or open-source ML projects. The typical base pay ...

Avid Bioservices

Data Reviewer, Quality Control

Tustin, CA

$31.63 - $42.16/hr

... scientific relevance, format and adherence to cGMPs. * Perform a thorough review of raw data, including electronic raw data and documentations to ensure compliance with applicable specifications and ...

Stryker

Manager, Clinical Data Research (Remote)

Irvine, CA · On-site +1

$116K - $193K/yr

Drive data review, validation, and cleaning activities to ensure delivery of high-quality, analysis ... Master's degree in a health, science, life sciences, or related field. * Minimum 8 years of ...

New

Avid Bioservices

Data Reviewer, Quality Control

Tustin, CA · On-site

$31.63 - $42.16/hr

... scientific relevance, format and adherence to cGMPs. * Perform a thorough review of raw data, including electronic raw data and documentations to ensure compliance with applicable specifications and ...

BALT Group

Clinical Scientist

Irvine, CA · On-site

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

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Showing results 1-20

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 Jul 15, 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 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 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 are the key skills and qualifications needed to thrive as a Data Review Scientist, and why are they important?

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 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 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
Sr. Data Scientist

Sr. Data Scientist

Skyworks

Irvine, CA • On-site

$114K - $220K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago

Job description

Sr. Data Scientist
Posting Start Date: 6/3/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 77724
Job Description:
Description
Skyworks Solutions is seeking a Machine Learning and Data Engineer to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, data engineering, and semiconductor innovation. If you're looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.
Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you'll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.
Responsibilities
As a Machine Learning and Data Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company-including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.
  • Predictive analytics for yield and quality improvement
  • Optimization of circuit or device parameters
  • RF signal modeling and anomaly detection
  • Root-cause analysis across test and manufacturing data
  • Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
  • Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
  • Work on both research-oriented prototypes and production-grade deployments.
  • Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data

Required Experience and Skills
  • BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
  • Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
  • Solid understanding of statistics, optimization, and model evaluation techniques.
  • Excellent communication and collaboration skills, with the ability to work across disciplines and teams.

Desired Experience and Skills
  • Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
  • Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
  • Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
  • Contributions to peer-reviewed research, patents, or open-source ML projects.

The typical base pay range for this role across the U.S. is currently USD $114,400 - $220,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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