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Data Reviewer Jobs in Texas (NOW HIRING)

Data Quality and Compliance · Establish and monitor data quality metrics across studies. · Conduct routine data review, cleaning, query generation, and discrepancy resolution. · Support risk-based ...

New

Data Engineer

Southlake, TX · On-site

$43.27 - $52.88/hr

You will collaborate with technical leads and peers to review mapping specifications, refine solutions, and deliver high-quality data outcomes that support scalable, secure, and trusted technology ...

Data Engineer

Southlake, TX · On-site

$43.27 - $52.88/hr

You will collaborate with technical leads and peers to review mapping specifications, refine solutions, and deliver high-quality data outcomes that support scalable, secure, and trusted technology ...

Data Engineer

Southlake, TX · On-site

$107K - $129K/yr

You will collaborate with technical leads and peers to review mapping specifications, refine solutions, and deliver high-quality data outcomes that support scalable, secure, and trusted technology ...

Data Engineer

Southlake, TX

$107K - $129K/yr

You will collaborate with technical leads and peers to review mapping specifications, refine solutions, and deliver high-quality data outcomes that support scalable, secure, and trusted technology ...

Big Data Architect.

Plano, TX

$61 - $78.50/hr

Review the code developed and suggest any issues w.r.t customer data. Should have knowledge and understanding of integration architect, ETL tools and features Should be able to manage IT and business ...

Big Data Architect

Plano, TX

$61 - $78.50/hr

Review the code developed and suggest any issues w.r.t customer data. * Should have knowledge and understanding of integration architect, ETL tools and features * Should be able to manage IT and ...

Big Data Architect

Plano, TX · On-site

$61 - $78.50/hr

Review the code developed and suggest any issues w.r.t customer data. * Should have knowledge and understanding of integration architect, ETL tools and features * Should be able to manage IT and ...

Big Data Architect.

Plano, TX

$61 - $78.50/hr

Review the code developed and suggest any issues w.r.t customer data. Should have knowledge and understanding of integration architect, ETL tools and features Should be able to manage IT and business ...

Big Data Architect.

Plano, TX

$61 - $78.50/hr

Review the code developed and suggest any issues w.r.t customer data. Should have knowledge and understanding of integration architect, ETL tools and features Should be able to manage IT and business ...

Clinical Nurse Reviewer

Plano, TX · On-site

$59K - $75K/yr

Support administrative tasks such as data entry, case tracking, and report preparation. * Participate in training sessions and shadow senior reviewers to develop clinical review skills. * Maintain ...

Data Architect

Plano, TX · On-site

$61 - $78.50/hr

Design and review high-performance relational database architectures for enterprise applications. * Define and promote data modeling standards, architectural patterns, and database design best ...

Support administrative tasks such as data entry, case tracking, and report preparation. * Participate in training sessions and shadow senior reviewers to develop clinical review skills. * Maintain ...

Senior Software Engineer, Data

Austin, TX

$113K - $136K/yr

Develop tooling and services for data labeling, data review, and dataset curation at scale. * Find and evaluate new external data sources - manage relationships with data partners and vendors.

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

Showing results 21-40

Data Reviewer information

See Texas salary details

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How much do data reviewer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data reviewer in Texas is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $33.80 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 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 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.

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.
What are the most commonly searched types of Data Reviewer jobs in Texas? The most popular types of Data Reviewer jobs in Texas are:
What cities in Texas are hiring for Data Reviewer jobs? Cities in Texas with the most Data Reviewer job openings:
What are popular job titles related to Data Reviewer jobs in TX? For Data Reviewer jobs in TX, the most frequently searched job titles are:
Infographic showing various Data Reviewer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 7% Part Time, 4% Temporary, and 5% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $50,853 per year, or $24.4 per hour.

Regulatory Data Manager

M/A/R/C Research, LLC

Plano, TX • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Regulatory Data Manager

Location: Remote (U.S.)
Department: Compliance & Data Management
Reports To: SVP, Compliance & Data Management

About Us

We are a leading marketing and regulatory research organization specializing in complex, high-quality studies that support business decision-making, public health initiatives, and regulated research programs. Our work combines advanced data collection technologies, rigorous quality standards, and defensible analytics to deliver reliable insights for clients across commercial, healthcare, and regulated sectors.

We are seeking an experienced Regulatory Data Manager (RDM) to lead the planning, implementation, quality control, and governance of regulated research data. This role ensures data integrity, regulatory compliance, audit readiness, and timely delivery of high-quality datasets and supporting documentation throughout the research lifecycle.

#LI-Remote

Position Summary

The Regulatory Data Manager is responsible for designing, managing, validating, reconciling, and reporting regulated research data from protocol development through database lock and final reporting suitable for client submission to the FDA. The role serves as the primary steward of study data, ensuring that data collection systems, documentation, quality controls, and deliverables meet regulatory, client, and internal quality requirements. This position collaborates closely with project management, field operations, biostatistics, analytics, compliance, and external stakeholders to support accurate, compliant, and submission-ready research execution.

Key ResponsibilitiesData Management

·         Lead all data management activities across multiple regulated research studies.

·         Develop and maintain SOPs, and manage drafting of:

o   Data Management Plans (DMPs)

o   Data Validation Plans

o   CRF/eCRF specifications

o   Data Review Plans

o   Database Lock Plans

o   Data Transfer Specifications

o   Any other client required plans and specifications

·         Design, review, and validate electronic data capture (EDC) systems and online survey platforms.

·         Ensure accurate mapping of protocol requirements into study databases and collection instruments.

·         Manage study metadata, coding standards, edit checks, and validation rules.

·         Oversee database development, user acceptance testing (UAT), and production deployment, including CRF design, EDC configuration support, validation checks, and comprehensive data documentation.

·         Work with clients’ electronic trial master file systems to ensure all data management documentation is correctly formatted, uploaded and quality assured.

Data Quality and Compliance

·         Establish and monitor data quality metrics across studies.

·         Conduct routine data review, cleaning, query generation, and discrepancy resolution.

·         Support risk-based quality management processes and inspection readiness programs.

·         Ensure compliance with:

o   FDA regulations

o   21 CFR Part 11

o   CDISC standards

o   HIPAA

o   ICH-GCP

o   GDPR (where applicable)

o   Internal SOPs and quality requirements, including documentation of data accuracy, integrity, security, audit trails, and regulatory compliance throughout the study lifecycle.

·         Perform reconciliation of external vendor data including laboratory and other test data, qualitative coding, digital health, and other ancillary datasets, if required.

Database Lock and Reporting

·         Coordinate interim and final database lock and unlock activities.

·         Ensure all outstanding queries and reconciliation activities are resolved before lock.

·         Produce data listings, metrics, status reports, and quality dashboards.

·         Deliver clean, analyzable datasets to biostatistics and analytics teams.

·         Support preparation of study reports, technical reports, regulatory submission materials, and audit responses.

Stakeholder Collaboration

·         Serve as lead data management representative on assigned studies.

·         Collaborate with:

o   Clients and Sponsors

o   Project Managers

o   Research Directors

o   Statisticians

o   Data Scientists

o   Compliance Teams

·         Participate in study design discussions and protocol reviews to ensure data collection feasibility and quality.

·         Provide guidance and training on data management processes, system usage, and study documentation expectations while serving as the primary data management contact for assigned studies.

Process Improvement and Innovation

·         Contribute to SOP development and continuous improvement initiatives.

·         Evaluate new technologies, automation tools, and AI-enabled data management solutions.

·         Support development of standards for decentralized studies, digital data collection, and real-world data integration.

·         Promote best practices aligned with SCDM Good Clinical Data Management Practices (GCDMP), and CDISC/TIG.

Required Qualifications

·         Bachelor’s or advanced degree in Life Sciences, Health Informatics, Biostatistics, Epidemiology, Public Health, Computer Science, or a related field.

·         Minimum 5 years of regulatory data management experience.

·         Experience supporting regulated research in nicotine science (preferred), healthcare research, pharmaceutical, biotechnology, medical device, CRO, or FDA-related studies.

·         Strong understanding of regulated study processes, data management principles, data quality controls, GCP requirements, data validation, and applicable regulatory frameworks.

·         Experience using EDC/eTMF platforms such as Decipher, Medidata Rave, REDCap, Oracle Clinical, Veeva, TrialKit, MEDRIO or similar systems.

·         Working knowledge of SQL, SAS, Power BI, and data visualization/reporting tools.

Preferred Qualifications

·         Experience supporting FDA submissions or pivotal studies, preferably in the nicotine science space.

·         Knowledge of CDISC standards including CDASH, SDTM, and ADaM.

·         Experience with electronic patient-reported outcomes (ePRO/eCOA).

·         Familiarity with real-world evidence (RWE) data sources, electronic health records such as Epic, decentralized clinical trials, and digital endpoints.

·         CCDM® (Certified Clinical Data Manager) or other relevant regulatory certification.

·         Experience managing external vendors and data integrations.

·         Knowledge of AI-enabled data review and quality management technologies.

Success Factors

The ideal candidate:

·         Demonstrates meticulous attention to detail.

·         Maintains a strong commitment to data integrity.

·         Thrives in a highly regulated environment.

·         Communicates effectively with both technical and non-technical stakeholders.

·         Balances quality, compliance, and operational efficiency.

·         Takes ownership of data from study startup through closeout.

Why Join Us

·         Work on high-impact research supporting public health and regulatory decision-making.

·         Collaborate with cross-functional experts in research, analytics, and compliance.

·         Opportunity to help shape next-generation data governance and AI-enabled research operations.

·         Opportunity for professional growth

  • M/A/R/C® is committed to providing an exceptional work environment and excellent benefits.
  • Health Care Plan (Medical, Dental, Vision & Supplemental)
  • Retirement Plan (401k with Company Match)
  • Profit Sharing
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development