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Clinical Data Coordinator Jobs in Reston, VA (NOW HIRING)

CRi

Clinical Data & Applications Analyst II

Chantilly, VA · On-site

$65K - $70K/yr

Description Clinical Data & Applications Analyst Position Summary CRi is seeking a Clinical Data ... Strong organizational, project coordination, and prioritization skills. * Ability to establish and ...

Guidehouse

Clinical Protocol Coordinator

Bethesda, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Clinical Trial Operations Travel Required: None Clearance Required: Ability to Obtain Public Trust ... Coordinate with data coordinating centers and support Program Officials in the management of DSMBs ...

JP Systems, Inc.

Marketing Coordinator

Fairfax, VA · On-site

$62K - $81K/yr

... data." Marketing Coordinator J P Systems provides professional services for large Federal ... Be part of a team influencing the future of global clinical data management by helping us to ...

JP Systems, Inc.

Marketing Coordinator

Fairfax, VA · Remote

$43K - $59K/yr

... data." Marketing Coordinator J P Systems provides professional services for large Federal ... Be part of a team influencing the future of global clinical data management by helping us to ...

Allen Spolden

Clinical Research Assistant

Silver Spring, MD · Remote

$45K - $55K/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will support the coordination and administration of clinical research studies while ensuring study documentation, data quality, and regulatory compliance are maintained throughout ...

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Clinical Data Coordinator information

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How much do clinical data coordinator jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for clinical data coordinator in Reston, VA is $30.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.75 and $35.24 per hour, depending on experience, location, and employer.

What is the difference between Clinical Data Coordinator vs Clinical Research Associate?

AspectClinical Data CoordinatorClinical Research Associate
Primary RoleManage and ensure accuracy of clinical data collection and entryOversee clinical trial sites, monitor study progress, and ensure compliance
Required CredentialsTypically a bachelor's degree in health, life sciences, or related fieldUsually a bachelor's degree in health sciences, along with monitoring certifications
Work EnvironmentData management teams, clinical trial databases, research organizationsClinical sites, monitoring visits, regulatory agencies
Industry UsageCommon in clinical data management and research organizationsCommon in pharmaceutical companies and contract research organizations

The Clinical Data Coordinator focuses on managing and verifying clinical data accuracy, while the Clinical Research Associate monitors trial sites and ensures compliance. Both roles are essential in clinical research but differ in daily responsibilities and focus areas.

What does a clinical data coordinator do?

A Clinical Data Coordinator is responsible for collecting, managing, and ensuring the quality of data generated from clinical trials and medical research studies. They work closely with clinical research teams to input, verify, and monitor data accuracy, integrity, and compliance with regulatory standards. Their work is vital for the successful analysis of clinical trial outcomes and for supporting the development of new medical treatments.

What does a clinical data coordinator do?

A clinical data coordinator is responsible for overseeing a number of data related tasks associated with running a clinical facility. In this career, your job duties include creating reports on patient data, developing programs that support a clinical study, and providing information to ensure regulatory compliance on behalf of the clinic. The qualifications needed to have a career as a clinical data coordinator include a bachelor's degree in computer science or a related field. You also need strong analytical skills and experience working with databases.

How does a clinical data coordinator typically collaborate with other teams during a clinical trial?

Clinical Data Coordinators work closely with clinical research associates, data managers, and regulatory teams to ensure the accurate collection and management of trial data. They frequently communicate with site staff to resolve data discrepancies and ensure adherence to protocol and data quality standards. Regular meetings and updates are common to address ongoing data queries, share progress, and align on timelines. This cross-functional collaboration is vital for maintaining the integrity of clinical trial data and supporting successful study outcomes.

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

To thrive as a Clinical Data Coordinator, you need strong analytical skills, attention to detail, and a background in life sciences or a related field, often supported by a bachelor’s degree. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of regulatory standards such as GCP and FDA guidelines are essential. Excellent organizational skills, effective communication, and the ability to collaborate with multidisciplinary teams help set top candidates apart. These competencies ensure accurate data collection and integrity, which are crucial for the success and compliance of clinical trials.
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Clinical Data Coordinator jobs near you
Infographic showing various Clinical Data Coordinator job openings in Reston, VA 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 $64,155 per year, or $30.8 per hour.

Clinical Data & Applications Analyst II

Choice. Respect. independence. (CRi)

Chantilly, VA

Full-time

Posted 5 days ago

Job description

Clinical Data & Applications Analyst

Position Summary

CRi is seeking a Clinical Data & Applications Analyst to support the management, optimization, and implementation of our clinical technology applications, with a primary focus on our Electronic Health Record (EHR) systems.

This role partners closely with Clinical Leadership, Training, MIS, and other internal and external stakeholders to improve how clinical systems, data, reporting, and emerging technologies are used across the organization. The Clinical Data & Applications Analyst will play an important role in advancing our EHR capabilities, integrating AI-supported documentation processes, improving data quality, and developing efficient technology-enabled workflows.

Key Responsibilities

  • Partner with the Chief Clinical Officer to support the back-end build and design of internal and external reports and compile data required for routine reporting.

  • Support the daily operation, maintenance, configuration, and updates of the organization's EHR software.

  • Develop and implement strategies to improve the organization's use of its EHR and related clinical applications.

  • Ensure AI-generated clinical documentation maps accurately and appropriately into the EHR.

  • Evaluate the effectiveness of AI tools in reducing documentation errors and documentation time.

  • Partner with Training and MIS teams to develop training and support users on EHR and AI-enabled functionality.

  • Maintain data dictionaries and documentation for clinical applications.

  • Create and improve workflows utilizing Microsoft SharePoint and Teams.

  • Conduct audits of clinical systems, data inputs, outputs, and processes to support data integrity and quality.

  • Provide consultation, troubleshooting, and application support as needed.

  • Coordinate with departments across the organization to promote effective communication and interoperability between systems.

  • Assist with research and evaluation of emerging technologies that may improve clinical operations and data management.

  • Prepare user documentation, system guidance, and other technical resources.

  • Perform other duties as assigned.

Knowledge, Skills & Abilities

The successful candidate will bring:

  • Basic literacy and understanding of Artificial Intelligence (AI) and its application within business or clinical environments.

  • Knowledge of interoperability and data exchange between software systems.

  • Knowledge of data administration principles, practices, policies, and standards.

  • Understanding of data definition, modeling, logical design, database design, and quality control.

  • Experience working with data modeling tools and relational databases.

  • Strong analytical skills with the ability to gather, organize, analyze, and communicate data in multiple formats.

  • Strong problem-solving and critical-thinking skills.

  • Ability to research and evaluate new information technologies.

  • Ability to translate complex technical terminology into clear, understandable concepts for non-technical audiences.

  • Strong presentation and communication skills, including the ability to brainstorm, present, discuss, and support recommendations.

  • Ability to work effectively with stakeholders representing different professional perspectives.

  • Strong organizational, project coordination, and prioritization skills.

  • Ability to establish and maintain effective business relationships.

  • Ability to help stakeholders resolve issues involving cross-departmental data sharing, usage conflicts, and data inconsistencies.

  • Ability to develop clear user and system documentation.

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