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Data Review Scientist Jobs (NOW HIRING)

$55 - $85/hr

Eurofins BPT-Columbiais looking for a Scientist, Data Review tojoin our Quality Assurance team located in Columbia, Missouri. The Quality Assurance Associate position is involved in day-to-day ...

Company Description Eurofins Scientific is an international life sciences company, providing a ... Data Review & Compliance * Review GMP data for accuracy, completeness, and compliance with ...

Authors medical data queries and reviews query responses, approves query closure in association with Medical Director. * May assist Medical Director in patient profiles review, scientific review of ...

... and scientists. For years, Abbott's medical device businesses have offered technologies that are ... The Manager, Clinical Data Review will exercise judgment in planning, organizing and performing ...

... and scientists. For years, Abbott's medical device businesses have offered technologies that are ... The Manager, Clinical Data Review will exercise judgment in planning, organizing and performing ...

... and scientists. For years, Abbott's medical device businesses have offered technologies that are ... The Manager, Clinical Data Review will exercise judgment in planning, organizing and performing ...

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Data Review Scientist information

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$37.5K

$122.7K

$196.5K

How much do data review scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data review scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

More about Data Review Scientist jobs

What cities are hiring for Data Review Scientist jobs?

Cities with the most Data Review Scientist job openings:

What states have the most Data Review Scientist jobs?

States with the most job openings for Data Review Scientist jobs include:

Infographic showing various Data Review Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Scientist I, Data Review Scientist I, Data Review Eurofins In-person · Columbia, MO, US about 8[...]

Seeds Renewables

Independence, KS • On-site

$60 - $80/hr

Other

Posted 5 days ago


Job description

Scientist I, Data Review Job Description

Responsibilities include reviewing work for research and development under CGMP and/or GLP guidelines for studies, documentation, etc. Assisting in reviewing, monitoring and reporting studies to ensure data accuracy and report quality. Providing somewhat complex analytical review work on projects and studies using a knowledge of analytical techniques and instruments. Working with increasing independence on studies and assignments.

The ideal candidate would possess
  • Experience with GLP and/or GMP and knowledge of HPLC and/or GC.
  • Experience with LIMS system desirable.
  • Experience reviewing Empower.
  • Familiarity and/or experience in a laboratory setting is required.
  • Good organizational skills; ability to follow direction and good communication skills are required.
  • Strong computer, scientific, and organizational skills.
  • Excellent communication (oral and written) and attention to detail.
  • Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude.
  • Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies.
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