1

Data Reviewer Jobs in Colorado (NOW HIRING)

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position limited to no more than 9-months. Job Summary: The University of Colorado Anschutz medical campus is ...

Data review will encompass review against all applicable methods, work instructions and standard operating procedures. Essential Duties & Responsibilities * Perform data review to ensure compliance ...

Data review will encompass review against all applicable methods, work instructions and standard operating procedures. Essential Duties & Responsibilities * Perform data review to ensure compliance ...

Data review will encompass review against all applicable methods, work instructions and standard operating procedures. Essential Duties & Responsibilities * Perform data review to ensure compliance ...

Mid- Level Data Engineer

Denver, CO

$117K - $141K/yr

Participate in code reviews, technical discussions, and platform improvement initiatives as an active contributor. * Proactively identify data quality issues, pipeline risks, and improvement ...

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Participate in code reviews, technical discussions, and platform improvement initiatives as an active contributor. * Proactively identify data quality issues, pipeline risks, and improvement ...

next page

Showing results 1-20

Data Reviewer information

See Colorado salary details

$13

$27

$45

How much do data reviewer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data reviewer in Colorado is $27.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $38.17 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.

What is a data reviewer's job?

A data reviewer is responsible for examining and validating data for accuracy, completeness, and consistency. They often use tools like spreadsheets or data management software and may follow established guidelines or standards to ensure data quality in various organizational contexts.

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

In the field of data review, high-level roles such as Chief Data Officer or senior data executives can earn close to or exceeding $1 million annually, especially in large corporations. These positions typically require extensive experience, advanced skills in data management and analytics, and often involve leadership responsibilities and strategic decision-making.

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.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the data reviewed. They often work with electronic data capture tools and may require knowledge of regulatory standards like GCP and FDA guidelines.

Is 40 too late for data science?

A Data Reviewer role involves analyzing and validating data quality, and transitioning into data science at age 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications or additional training, making age less of a barrier than skill and experience.
What are popular job titles related to Data Reviewer jobs in Colorado? For Data Reviewer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Reviewer jobs in Colorado look for? The top searched job categories for Data Reviewer jobs in Colorado are:
What cities in Colorado are hiring for Data Reviewer jobs? Cities in Colorado with the most Data Reviewer job openings:
What are popular job titles related to Data Reviewer jobs in CO? For Data Reviewer jobs in CO, the most frequently searched job titles are:
Infographic showing various Data Reviewer job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $57,395 per year, or $27.6 per hour.
Temporary Data Reviewer

$25 - $35/hr

Full-time

Posted 7 days ago


University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

139th of 612 rated colleges and universities


Job description

University of Colorado Anschutz

Department: Gates Institute Biomanufacturing Facility

Job Title: Data Reviewer, Temporary

Position #: 00782556 Requisition#: 40591

This is a Temporary position limited to no more than 9-months.

Job Summary:

The University of Colorado Anschutz medical campus is seeking a temporary Quality Assurance Data Reviewer to join the Gates Biomanufacturing Facility (GBF). GBF is an academic Phase I cGMP contract manufacturing facility dedicated to the development and manufacture of novel biologics and cell therapies for early-phase clinical trials and serves as a core capability that differentiates the university in both regenerative medicine and traditional biotechnology.

Within the Gates Biomanufacturing Facility's dynamic environment, become a contributor to Quality Assurance GMP and non-GMP batch release activities. The QA Data Reviewer will support the review and release of GMP and non-GMP cell therapy and biologic batches, support scanning and archival of GMP and Non-GMP batches, optimize the eQMS batch release system and surrounding SOPs and paper forms, and monitor metrics to ensure batch disposition compliance.

Key Responsibilities:

         Review Batch Records, In-Process and Release testing data, Chain of Custody forms, Receiving Inspections, Thawing and Infusion documentation related to GMP and Non-GMP batch releases.

         Scan and archive QA reviewed batch data.

         Optimize the eQMS batch release system including updating SOPs and paper forms.

         Monitor batch disposition compliance, metrics, and effectiveness

Work Location:

Onsite - this role is expected to work onsite and is located in Aurora, CO.

Why Join Us:

Join the Gates Biomanufacturing Facility and be part of a team turning cutting-edge science into real therapies for patients. At the GBF, your work directly supports the development and manufacture of novel biologics and cell therapies advancing into early-phase clinical trials, offering a rare opportunity to contribute to life-changing innovation at the intersection of academia and industry.

Qualifications:

Minimum Qualifications:

         Bachelor's degree in a scientific discipline or related field, or an equivalent combination of education and relevant experience.

         Minimum of three (3) years of experience data review in a GMP regulated life sciences environment.

Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

         Experience developing GMP QA systems specifically batch release and disposition.

         Knowledge of FDA cGMP regulations, FACT standards, and GMP documentation practices.

Knowledge, Skills and Abilities:

         Ability to communicate effectively, both in writing and orally. Strong English verbal and written communication skills required. Ability to accurately read, interpret, and produce technical documentation.

         Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.

         Outstanding customer service skills.

         Highly self-motivated and organized, with the ability to work both independently and collaboratively in a fast-paced, team-oriented environment.

         Technical writing ability to draft and edit controlled documents such as SOPs, Work Instructions (WIs), and forms.

Conditions of Employment:

         Strong English verbal and written communication skills required, with the ability to accurately read, interpret, and produce technical documentation

How to Apply:

For full consideration, please submit the following document(s):

1.       A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

2.       Curriculum vitae / Resume

3.       Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: Chris Freedman, Christopher.freedman@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until July 27, 2026

Anticipated Pay Range:

The hiring range for this position has been established at: $25.00 to $35.00 / hour. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty, and training.

Your total compensation goes beyond the number on your paycheck. Temporary employees are only eligible for sick leave benefits.

Equal 
Employment Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program. 


What University Of Colorado Boulder employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom