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Data reviewer skills for your resume and career

Updated January 8, 2025

4 min read

Below we've compiled a list of the most critical data reviewer skills. We ranked the top skills for data reviewers based on the percentage of resumes they appeared on. For example, 9.3% of data reviewer resumes contained gmp as a skill. Continue reading to find out what skills a data reviewer needs to be successful in the workplace.

15 data reviewer skills for your resume and career

1. GMP

GMP stands for Good Manufacturing Practice. It is a system that ensures that all products like food, beverages, and medicinal drugs that are produced comply with the quality standards. It helps in minimizing the risks and hazards that cannot be eliminated after the testing of final products.

Here's how data reviewers use gmp:

Performed periodic audit of the laboratory to maintain GMP.
Mentored new analysts on GMP requirements.

2. FDA

The Food and Drug Administration (FDA) is a division of the US Department of Health and Human Services that regulates the production and sale of food, pharmaceutical products, medical equipment, and other consumer goods, as well as veterinary medicine. The FDA is now in charge of overseeing the manufacture of products like vaccines, allergy treatments, and beauty products.

Here's how data reviewers use fda:

Phase 4 Clinical Data Reviewer, provided QA on Case Report forms prior to FDA submission.
Trained to perform and review studies conducted in a FDA regulated environment, requiring strict adherence to governing SOPs.

3. QA

QA, or Quality Assurance is a procedure that entails all of the steps taken to avoid any errors in the manufacturing process or in the production of the goods that a company produces. It can also include ensuring the consistency of the services rendered. Quality assurance ensures that the quality of the service delivered to consumers meets or exceeds the promised expectations. This greatly aids in the prevention of any complications that might arise after the goods or services have been distributed. It makes sure that customers are satisfied.

Here's how data reviewers use qa:

Verified / QA'ed data decisions made by both international indexing contractors and automated computer algorithms.
Provided Patent Data for Research Accomplishments Learned about Patent documentation and legalities Skills Used Data Entry, QA, IP

4. Data Entry

Data entry means entering data into a company's system with the help of a keyboard. A person responsible for entering data may also be asked to verify the authenticity of the data being entered. A person doing data entry must pay great attention to tiny details.

Here's how data reviewers use data entry:

Facilitated payroll operations consisting of gathering information, data entry, review and distribution.
Worked as a data entry/reviewer/ product description writer

5. HPLC

Here's how data reviewers use hplc:

Worked as a team member, reviewing and compiling GC and HPLC data.
Perform technical review of testing to ensure all instrumental techniques (HPLC, GC, UV-Vis, etc.)

6. QC

Quality control is a set of instructions or procedures to ensure a manufactured product or a service is up to the highest quality standards. This set of quality control criteria are either defined by the clients or the company itself.

Here's how data reviewers use qc:

Prepare clear, concise QC Review Reports with corrective actions for the Regulatory Compliance Manager and Study Director.
Trained to use MasterControl, Watson and Projects Database Software as QC Data reviewer.

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7. OOs

Here's how data reviewers use oos:

Manage investigation reports for equipment maintenance and calibration OOS.
Investigated when non-conformance results (OOS, OOT) were observed and documented findings.

8. Laboratory Notebook

Here's how data reviewers use laboratory notebook:

Performed thorough review of Laboratory notebook for In-Process, Finished Product and Stability Testings.
Reviewed data documented by laboratory personnel within laboratory notebooks, worksheets, and logbooks (instrument use and maintenance logbooks).

9. Analytical Data

Here's how data reviewers use analytical data:

Review analytical data by checking calculations and formulas reported by the analyst using Excel.
Reviewed, verified and disposed analytical data using Empower 3.0 and LabVantage LIMS.

10. Lims

A LIMS - Laboratory Information Management System is a software solution to improve laboratory productivity and efficiency with modern support of laboratory operations to address the challenges of data and sample management, automation, and regulation of laboratories from around the world and thus maintaining workflows and standardized testing and reporting procedures.

Here's how data reviewers use lims:

Reviewed data entered in the LIMS for required data review and manager review.
Review data and chromatography within computer systems (LIMS, Empower, NuGenesis, AS400) for accuracy.

11. Laboratory Data

Here's how data reviewers use laboratory data:

Verify laboratory data notebook/worksheet calculations and ensure documented data are real-time, complete and accurate.
Prioritized verification of laboratory data to meet departmental goals and corporate needs.

12. GC

Here's how data reviewers use gc:

Assisted in conducting the GC Performance Qualification (PQ)/Operations Qualification (OQ).
Performed GC and wet chemistry analysis of in-process and finished goods samples.

13. Test Results

Here's how data reviewers use test results:

Participate in investigation of out-of-specification test results.
Documented standards and test results, prepared samples, calibrated and maintained instruments.

14. Test Methods

Test methods are the steps in which thorough testing is conducted in a laboratory setting.

Here's how data reviewers use test methods:

Ensured compliance of test procedures with approved test methods and applicable SOPs.
Document generation/authoring (SOP, Test Methods, Training Content authoring) and revisions for all lab and QC related documents.

15. ICH

Here's how data reviewers use ich:

Established and enforced ICH guidelines and requirements of Good Laboratory Practices.

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List of data reviewer skills to add to your resume

The most important skills for a data reviewer resume and required skills for a data reviewer to have include:

GMP
FDA
QA
Data Entry
HPLC
QC
OOs
Laboratory Notebook
Analytical Data
Lims
Laboratory Data
GC
Test Results
Test Methods

ICH
Wet Chemistry
UV/Vis
Data Quality
Clinical Data
Method Development
Stability Samples
Worksheets
Environmental Monitoring
CAPA
Laboratory Investigations
TrackWise
Anda
Quality Review

Clinical Trials
HEDIS
Cleaning Validation
EP
HIPAA
EMR
Data Packages
CMS
Instrument Calibration
Medicaid
SAS
AES
SAE
Patient Care

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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