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Qc Data Reviewer Jobs (NOW HIRING)

... or quality control data, standard operating procedures (SOPs), quality exceptions, logbooks ... Analyzes and reviews intermediate to complex operations, results, feedback, and related quality ...

... or quality control data, standard operating procedures (SOPs), quality exceptions, logbooks ... Analyzes and reviews intermediate to complex operations, results, feedback, and related quality ...

... or quality control data, standard operating procedures (SOPs), quality exceptions, logbooks ... Analyzes and reviews intermediate to complex operations, results, feedback, and related quality ...

QC Analyst

Lebanon, IN · On-site

$23 - $31/hr

Support QC data management, sample/result tracking, and development of Electronic Lab Notebook (ELN) templates. Ensure smooth LIMS operations, data integrity, and lab documentation compliance. Key ...

Quality Control Analyst

Rensselaer, NY

$23.75 - $32/hr

Review analytical QC data, compile trend reports, and provide technical summaries to management to ensure manufacturing accuracy. • Audit Readiness: Maintain a pristine, compliant workspace and ...

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Qc Data Reviewer information

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How much do qc data reviewer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for qc 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 does a data quality reviewer do?

A data quality reviewer evaluates datasets to ensure accuracy, completeness, and consistency. They identify and correct errors, verify data integrity, and often use tools like Excel or data management software to maintain high data standards, supporting reliable decision-making.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $60,000 and $90,000 annually, depending on experience, location, and the complexity of the data reviewed. Salaries can increase with certifications, such as CDISC or SAS, and experience in clinical research environments.

What are the key skills and qualifications needed to thrive in the Qc Data Reviewer position, and why are they important?

To excel as a QC Data Reviewer, candidates typically require a background in life sciences, strong analytical skills, attention to detail, and experience in quality control processes. Familiarity with laboratory information management systems (LIMS), Good Manufacturing Practice (GMP) guidelines, and relevant data analysis tools or software is often expected. Excellent communication, critical thinking, and organizational skills help reviewers share findings effectively and manage competing priorities. These capabilities ensure data integrity, regulatory compliance, and consistent quality in highly regulated environments.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn over $1,000,000 annually, often including bonuses and stock options. Additionally, successful entrepreneurs, top-tier investment bankers, and certain specialized professionals in finance, technology, or entertainment may reach this income level with significant experience and performance. These roles typically require advanced skills, extensive experience, and often involve leadership responsibilities or ownership stakes.

What are the typical day-to-day responsibilities for a QC Data Reviewer?

A QC Data Reviewer is responsible for reviewing laboratory data, checking for accuracy and compliance with internal and regulatory standards, and verifying that test results meet established criteria. They often collaborate with lab analysts, quality assurance teams, and supervisors to resolve discrepancies and clarify data issues. Daily tasks may include evaluating raw data sets, preparing reports, participating in audits, and assisting in process improvements. This role is essential to ensure that only high-quality, compliant data is released for product decisions, contributing to the overall reliability and reputation of the organization.

What is a QC Data Reviewer job?

A QC Data Reviewer is responsible for reviewing laboratory data, documents, and reports to ensure accuracy, compliance with regulatory guidelines, and adherence to standard operating procedures. They verify analytical results, identify discrepancies, and ensure data integrity before final approval. This role is critical in pharmaceutical, biotechnology, and manufacturing industries to maintain product quality and regulatory compliance.

What is a QC reviewer?

A QC (Quality Control) Data Reviewer is responsible for reviewing and verifying data accuracy, completeness, and compliance with standards in industries such as pharmaceuticals, clinical research, or manufacturing. They use tools like data management software and often hold certifications in quality assurance or related fields to ensure data integrity and regulatory compliance.
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Quality Control Inspector

Full-time

Posted 17 days ago


Job description

Job Title: Quality Control Inspector
Job Summary
  • Conducts visual inspection and/or tests to determine quality of materials and finished products.

General Accountabilities
  • Conducts routine and non-routine analyses of in-process materials or finished goods.
  • Interprets test results and compares them to established specifications and control limits.
  • Performs visual inspections of finished products.
  • Completes documentation needed to support testing procedures.
  • Supplies quality control data necessary for regulatory submissions.
  • Investigates or reports questionable test results.
  • Ensures that lab cleanliness and safety standards are maintained.
  • Writes documentation or results
  • *The company reserves the right to add or change duties at any time.

Job Qualifications
  • High School Diploma, Quality Control experience preferred
  • Experience: No experience required

Skills
  • Excellent oral and written communication skills
  • Quality control analysis
  • Active listening
  • Monitoring
  • Complex problem solving
  • Judgment and decision making
  • Operation monitoring
  • Troubleshooting
  • Detail Oriented