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Data Validation Operator Jobs in Durham, NC (NOW HIRING)

Develops dashboards in Tableau to visualize and analyze CQV data to track progress and trends ... Prepares and presents report packages for implementation into standard operating procedure (SOPs)

Develops dashboards in Tableau to visualize and analyze CQV data to track progress and trends ... Prepares and presents report packages for implementation into standard operating procedure (SOPs)

Develops dashboards in Tableau to visualize and analyze CQV data to track progress and trends ... Prepares and presents report packages for implementation into standard operating procedure (SOPs)

We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our ... If you would like more information about how your data is processed, please contact us.

Validation Engineer

Raleigh, NC ยท On-site

$72K - $80K/yr

We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our ... If you would like more information about how your data is processed, please contact us. apply for ...

Selenium Automation tester

Raleigh, NC ยท On-site

$44.75 - $59/hr

... Data Types, Variables, Operators, Flow Control Statements, Methods (Built-in as well as User ... testing, data validation and SQL โ€ข Handle JAVA and build tools like Maven or Gradle โ€ข ...

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Data Validation Operator information

See Durham, NC salary details

$21

$50

$75

How much do data validation operator jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data validation operator in Durham, NC is $50.24, according to ZipRecruiter salary data. Most workers in this role earn between $38.08 and $61.11 per hour, depending on experience, location, and employer.

What is a data validation operator?

Data Validation Operators are professionals responsible for ensuring the accuracy, consistency, and integrity of data within an organization. They review, verify, and validate data sets to identify errors or discrepancies before the information is used for analysis or reporting. Their work is crucial in maintaining high data quality, which supports reliable decision-making and efficient business operations.

What are the key skills and qualifications needed to thrive as a data validation operator?

To thrive as a Data Validation Operator, you need strong attention to detail, accuracy in data entry, and basic analytical skills, often supported by a high school diploma or equivalent. Familiarity with data management software, spreadsheets like Microsoft Excel, and sometimes database systems is typically required. Excellent organizational skills, time management, and the ability to communicate errors or discrepancies clearly are important soft skills. These abilities ensure data integrity, minimize errors, and support efficient business operations.

What are some common challenges faced by data validation operators, and how can they be addressed?

Data Validation Operators often encounter challenges such as managing large volumes of data with tight deadlines, identifying inconsistencies or errors in source documents, and ensuring data accuracy under time pressure. Addressing these challenges typically involves utilizing automated validation tools, maintaining strong attention to detail, and communicating effectively with data entry or technical teams when anomalies arise. Staying organized and following standardized validation procedures can also help minimize errors and improve workflow efficiency.
Infographic showing various Data Validation Operator job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $104,508 per year, or $50.2 per hour.

Senior/Principal Clinical Programmer

Raleigh, NC โ€ข On-site, Remote

Full-time

Re-posted 20 days ago


Job description

Job Title: Principal Clinical Programmer
Job Code: CDM0016
Department Name: Clinical Data Management
Reports to Title: Manager or above
Job Summary:
The Principal Clinical Programmer is a member of the Data Management team and serves as a subject matter expert for Clinical Data Programming, Reporting, Process, and technology. Accountable for the quality and delivery of the Data Management programming, reporting and visualization, standard, and exception data listings across studies. Scope of work includes oversight and expertise in the design, development, and validation of programs, standard and adhoc reports, standard and exception data listings, and visualizations to support ongoing data review activities, achieve critical study milestones, and gain data insights into our clinical studies. The position requires good understanding of programming methods and techniques, critical thinking, and complex problem-solving skills. This position will require strong collaboration in working with other members of the Biostatistics and Data Management, external CRO partners, and other stakeholders.
Responsibilities:
  • Serve as a subject matter expert and provide expertise for Database programming, Reporting, and Technology and optimize the use of J-Review, ETL, SAS tools, and others to support business needs.
  • Manage the quality of the data management clinical database programming deliverables including edit checks programming, complex reports, and listings; patient profiles, subject narratives, exception listings, dose modification reports, and other adhoc reports using JReview & SAS as part of standard data validation and reporting package for clinical studies.
  • Develop and/or provide oversight on the programming specifications for the data validation and reporting deliverables; code, test, and document deliverables conforming to programming standards, data quality and governance, and validation policies.
  • Partner with internal and external stakeholders to ensure timely delivery of data management programming, EDC database, external data, data management programming of reports and listings including the use of visualization tools.
  • Design and develop macros, applications, and other utilities to expedite JReview/SAS programming activities.
  • Develop standard programs, templates, reports, data listings, discrepancy reports, and patient profiles to facilitate in the ongoing review of clinical data during study conduct and study closeout.
  • Build, test, and scale-up programs for data validation derivation procedures, data reports, listings, and SAS on Demand relational database extracts for operational use, identification of data outliers, quality inconsistencies, and preparation for analysis.
  • Provide technical guidance and direct programming tasks for Medical Coding activities.
  • Provide Clinical Programming expertise and support for critical and time-sensitive study milestones including interim analysis, and database lock activities.
  • Perform ETL tasks, enhancements, validation, and maintenance of the programs and templates on an ongoing basis.
  • Perform QC, lead unit testing activities, develop validation scripts for user acceptance, manage and execute programs and dry runs as needed, and resolve programming issues proactively.
  • Develop and maintain mapping, and program specifications for standard reports, listings, and visualizations.
  • Maintain database programming checklists and trackers to ensure conformance of high-quality deliverables with the study data validation and reporting package.
  • Establish and implement programming standards and comply with regulatory requirements among project team members and across all studies.
  • Participate in the development of and ensure compliance to Standard Operating Procedures (SOPs), policies, and guidelines.

Experience:
  • Minimum of 5 years database programming experience and data validation programming in the device/pharmaceutical/CRO industry.
  • Expertise in Clinical Programming, methods, and techniques
  • Expertise in using standard reporting and data visualization tools including JReview, and SAS tools.
  • Knowledge of industry standard clinical technologies including CTMS, EDC (RAVE, InForm)
  • Knowledge of CDISC data standards.
  • Knowledge and understanding of relational databases.
  • Clinical Programming, Project Management, and Technical Expertise
  • Knowledge of logical data design and data mapping
  • Knowledge of reporting and data visualization tools: JReview, Spotfire, SAS suite and ETL technology
  • Experience with programming development, validation, execution, maintenance, documentation, and archival of clinical data for regulatory submission is required.
  • Proficient in industry standards, medical terminology, and clinical trial methodologies.

Education:
  • Bachelor of Science degree in Computer Science, Mathematics, or related area with relevant experience
  • Other degrees and certifications considered if commensurate with related data management experience