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Data Verification Jobs in Dallas, TX (NOW HIRING)

Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study documentation. * Review safety documentation, including DSURs and PSURs/PBRERs. * Provide structured ...

SDET

Westlake, TX · On-site

$48 - $62/hr

SQL knowledge with experience querying DB2 databases for test data verification. * Solid understanding of regression testing principles and test case execution. * Ability to analyze automated test ...

Design Verification Engineer

Dallas, TX · On-site

$123K - $151K/yr

As a Design Verification Engineer, you will work across the full verification cycle - from ... data center, personal electronics and communications equipment. At our core, we have a passion to ...

Design Verification Engineer

Dallas, TX · On-site

$123K - $151K/yr

As a Design Verification Engineer, you will work across the full verification cycle - from ... data center, personal electronics and communications equipment. At our core, we have a passion to ...

Showing results 21-40

Data Verification information

See Dallas, TX salary details

$10

$22

$62

How much do data verification jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data verification in Dallas, TX is $22.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $22.53 per hour, depending on experience, location, and employer.

What is data verification?

Data verification is the process of ensuring that data is accurate, consistent, and meets specified requirements before it is used or entered into a system. This involves checking data for errors, inconsistencies, and completeness by comparing it to original sources or predefined standards. Data verification is important in maintaining the integrity of databases, minimizing errors in business processes, and ensuring reliable reporting and decision-making. Professionals in this role may use manual checks, automated tools, or both, depending on the complexity and volume of data.

What are the most common challenges faced in a data verification role, and how can they be addressed?

One of the most common challenges in a Data Verification role is dealing with large volumes of data that may be incomplete, inconsistent, or contain errors. This requires a keen eye for detail and a systematic approach to identifying and resolving discrepancies. Collaborating effectively with data entry teams and analysts is essential to ensure data integrity across systems. Utilizing automated verification tools and maintaining clear documentation can help streamline the process and improve accuracy. Staying adaptable and communicating regularly with colleagues can help address issues promptly and maintain high data quality standards.

What are the key skills and qualifications needed to thrive as a data verification specialist, and why are they important?

To thrive as a Data Verification Specialist, you need strong attention to detail, analytical skills, and a background in data management or a related field. Familiarity with database systems, spreadsheet software like Microsoft Excel, and data validation tools is typically required. Outstanding organizational skills, critical thinking, and the ability to communicate discrepancies clearly help someone excel in this role. These competencies ensure data accuracy, integrity, and reliability, which are essential for informed business decision-making.

What is the difference between Data Verification vs Data Entry?

AspectData VerificationData Entry
Primary FocusEnsuring data accuracy and correctnessInputting data into systems
Skills RequiredAttention to detail, accuracy, validation techniquesTyping speed, basic computer skills
Work EnvironmentQuality control, data auditingOffice, data processing centers
CertificationsOften requires familiarity with data validation toolsBasic computer literacy

Data Verification focuses on checking and confirming the accuracy of data, while Data Entry involves inputting data into systems. Both roles are essential in data management but serve different purposes within the data lifecycle.

What job categories do people searching Data Verification jobs in Dallas, TX look for?

The top searched job categories for Data Verification jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Data Verification jobs?

Cities near Dallas, TX with the most Data Verification job openings:

Infographic showing various Data Verification job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,550 per year, or $22.4 per hour.

Clinical Document Author - Remote

YO AI Labs

Dallas, TX • Remote

$50 - $80/hr

Full-time

Posted 24 days ago


Job description

Job Title: Medical Writer / Clinical Document Author

Location: Remote
Job Type: Contractor
Pay: $50–$80/hour

Job Overview

We are seeking an experienced Medical Writer / Clinical Document Author to develop, review, and evaluate clinical and regulatory documents while ensuring scientific accuracy, regulatory compliance, and high-quality medical writing.

Key Responsibilities
  • Author and review Clinical Study Reports (CSRs) and other regulatory documents.

  • Interpret clinical protocols and ensure compliance with ICH guidelines.

  • Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study documentation.

  • Review safety documentation, including DSURs and PSURs/PBRERs.

  • Provide structured feedback and collaborate with cross-functional teams.

  • Support AI-assisted documentation evaluation and quality improvement initiatives.

Required Skills
  • Regulatory Medical Writing

  • Clinical Study Report (CSR) Authoring

  • ICH E3 Guidelines

  • Scientific Accuracy Assessment

  • Source Data Verification

  • Clinical Protocol Interpretation

  • TFL Analysis

  • eCTD Knowledge

  • Strong Written Communication & Collaboration

Qualifications
  • 5+ years of regulatory medical writing experience in a Sponsor, CRO, or consulting environment.

  • Experience authoring Clinical Study Reports and regulatory documentation.

  • Strong knowledge of ICH E3, ICH E2F, ICH E2C, and eCTD requirements.

  • Advanced degree in Life Sciences, Pharmacy, Medicine, or a related field (MD, PharmD, PhD, or MSc).

  • Experience in oncology and haematology is preferred.