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Data Reviewer Jobs (NOW HIRING)

Integrated Resources INC

QC Reviewer

La Jolla, CA · On-site

Ability to review data across multiple documents for consistency. The candidate must be able to actively participate in cross-functional clinical teams and provide deliverables according to timelines.

Grant Engine

Expert Reviewer - Biomedical Technologies Grant Engine is committed to improving how grants are written and reviewed so that compelling technologies are funded that will combat disease and improve ...

mpathic

Red Team Reviewer

Seattle, WA · On-site +1

You will help design, perform, and review realistic conversational scenarios, red-team model ... Experience with data classification, annotation, or qualitative analysis projects About the Team ...

mpathic

Red Team Reviewer

Seattle, WA · On-site

$110K - $142K/yr

You will help design, perform, and review realistic conversational scenarios, red-team model ... Experience with data classification, annotation, or qualitative analysis projects About the Team ...

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How much do data reviewer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for data reviewer in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $36.30 per hour, depending on experience, location, and employer.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is the Job of a Data Reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

What are Data Reviewers?

Data Reviewers are professionals responsible for examining, verifying, and validating data to ensure its accuracy, completeness, and compliance with established standards or regulations. They typically work with large datasets, reviewing and identifying errors or inconsistencies, and may also recommend or implement corrective actions. Data Reviewers play a crucial role in maintaining the quality and reliability of information used in various industries, such as healthcare, finance, and research.

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

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

How does a Data Reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.
More about Data Reviewer jobs
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Data Reviewer jobs near you
Infographic showing various Data Reviewer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $54,583 per year, or $26.2 per hour.
QA Specialist - Quality Data Reviewer

QA Specialist - Quality Data Reviewer

Alphanumeric Systems, Inc.

King Of Prussia, PA

$22.50 - $28/hr

Full-time

Posted 2 days ago

Job description

QA Specialist - Quality Data Reviewer
Location: Upper Merion (King of Prussia), PA
Schedule: Fully Onsite | Monday-Friday | Day Shift (8-hour schedule)
Pay Rate: $22.50 - $28.00 per hour
Alphanumeric is hiring a QA Specialist - Quality Data Reviewer to work onsite in Upper Merion (King of Prussia), PA with a global pharmaceutical organization dedicated to improving lives through innovative healthcare and medical advancements.
This role is ideal for a detail-oriented quality professional who thrives in a regulated laboratory environment and has a strong understanding of data integrity, cGxP requirements, and laboratory operations. The successful candidate will play a critical role in ensuring laboratory data is accurate, complete, compliant, and audit-ready while supporting product quality and batch release activities.
Responsibilities
  • Review laboratory data and documentation to ensure accuracy, completeness, and compliance with internal procedures and regulatory requirements.
  • Apply ALCOA+ data integrity principles during data review activities.
  • Support timely batch release by ensuring quality review activities meet established turnaround times.
  • Manage data lifecycle activities, including review, approval, reconciliation, and archiving of laboratory records.
  • Identify opportunities to improve the efficiency and effectiveness of data review processes.
  • Participate in internal audits, inspections, and compliance activities as required.
  • Maintain tracking systems and review metrics to provide visibility into progress, priorities, and outstanding items.
  • Collaborate with laboratory, quality, and cross-functional stakeholders to align on timelines and quality expectations.
  • Assist with training and mentoring team members on quality processes and data review requirements.
  • Participate in team meetings and provide updates, insights, and recommendations to support continuous improvement initiatives.
  • Ensure all reviewed documentation meets internal and external standards for accuracy, clarity, and completeness.

Required Qualifications
  • Bachelor's degree in Biology, Biochemistry, Microbiology, or a related scientific discipline OR equivalent industry experience.
  • Minimum of 2 years of pharmaceutical, biotechnology, laboratory, or quality-related experience preferred.
  • Strong attention to detail and ability to manage high volumes of data review activities.
  • Understanding of cGxP regulations, data integrity requirements, and ALCOA principles.
  • Experience working within regulated laboratory environments.
  • Strong organizational, analytical, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and effectively with minimal supervision.
  • Proficiency with Microsoft Excel, Word, and PowerPoint.
Preferred Qualifications
Experience with laboratory systems such as:
  • SAP / ERP
  • LES (Laboratory Execution Systems)
  • WebStatistica
  • Empower
  • Hamilton
Experience supporting analytical testing and laboratory operations, including:
  • Separations: HPLC, CGE, CE-SDS, cIEF
  • Immunoassays: ELISA, qPCR, SPR, Bioassays
  • Compendial Testing
  • Microbiology: Bioburden, Endotoxin
What We're Looking For
  • Exceptional attention to detail
  • Strong data review and data integrity mindset
  • Ability to prioritize multiple tasks and meet deadlines
  • Collaborative team player with leadership potential
  • Commitment to quality, compliance, and continuous improvement
If you're passionate about quality, data integrity, and supporting life-changing pharmaceutical products, we'd love to hear from you.