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Remote Data Coding Jobs in McKinney, TX (NOW HIRING)

Familiarity with Customer Data Platforms (CDP) in supporting no code/low code Marketer driven ... Remote/Home office (Continually=67-100% of the workday) Travel: * Occasionally, less than 25%

Participates in model reviews, code reviews, and technical discussions with data science peers ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Writing application code and deploying to production; and Developing backend services, performing ...

Showing results 21-40

Remote Data Coding information

See McKinney, TX salary details

$15

$52

$75

How much do remote data coding jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote data coding in McKinney, TX is $52.72, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.45 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Coding vs Remote Data Entry?

AspectRemote Data CodingRemote Data Entry
Required SkillsMedical coding certifications, attention to detail, knowledge of coding systemsBasic computer skills, accuracy, data input proficiency
Work EnvironmentHealthcare settings, remote medical officesVarious industries, remote administrative roles
Industry UsageHealthcare, insurance, medical billingRetail, finance, general administrative tasks

Remote Data Coding involves assigning standardized medical codes to patient records, requiring specific certifications and healthcare knowledge. Remote Data Entry focuses on inputting data into systems, often with less specialized training. Both roles are remote, but they serve different industries and require distinct skill sets.

Can you work as a remote data coder remotely?

Yes, remote data coding jobs are common and typically involve working from home using data entry and coding software. These roles often require strong attention to detail, computer skills, and sometimes specific certifications or training, but they generally offer flexible schedules and do not require physical presence in an office.

How much do remote data coders make?

Remote data coders typically earn between $15 and $25 per hour, depending on experience, certifications, and the complexity of coding tasks. Salaries can vary based on the employer, industry, and whether the position is freelance or full-time, with some experienced coders earning higher rates or salaries. Many remote data coding roles require attention to detail and familiarity with coding standards and tools.

What are popular job titles related to Remote Data Coding jobs in McKinney, TX?

For Remote Data Coding jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Coding jobs in McKinney, TX look for?

The top searched job categories for Remote Data Coding jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Remote Data Coding jobs?

Cities near McKinney, TX with the most Remote Data Coding job openings:

Infographic showing various Remote Data Coding job openings in McKinney, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,667 per year, or $52.7 per hour.

Regulatory Data Manager

M/A/R/C Research, LLC

Plano, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


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 Responsibilities
Data 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.
Requirements
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
Benefits
  • 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