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Clinical Data Assistant Jobs in Virginia (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 ... * Assist with research and evaluation of emerging technologies that may improve clinical ...

Centerwell

Clinical Care Nurse (RN)

Newport News, VA · On-site

Analyze clinical data and trends from platforms such as Athena EMR and DataHub to identify gaps in ... Collaborate effectively with interdisciplinary teams, including providers, care assistants, center ...

CenterWell

Clinical Care Nurse (RN)

Hampton, VA · On-site

Analyze clinical data and trends from platforms such as Athena EMR and DataHub to identify gaps in ... Collaborate effectively with interdisciplinary teams, including providers, care assistants, center ...

Centerwell

Clinical Care Nurse (RN)

Hampton, VA · On-site

Analyze clinical data and trends from platforms such as Athena EMR and DataHub to identify gaps in ... Collaborate effectively with interdisciplinary teams, including providers, care assistants, center ...

Centerwell

Clinical Care Nurse (RN)

Chesapeake, VA · On-site

Analyze clinical data and trends from platforms such as Athena EMR and DataHub to identify gaps in ... Collaborate effectively with interdisciplinary teams, including providers, care assistants, center ...

CenterWell

Clinical Care Nurse (RN)

Chesapeake, VA · On-site

Analyze clinical data and trends from platforms such as Athena EMR and DataHub to identify gaps in ... Collaborate effectively with interdisciplinary teams, including providers, care assistants, center ...

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Clinical Data Assistant information

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How much do clinical data assistant jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for clinical data assistant in Virginia is $16.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.66 per hour, depending on experience, location, and employer.

What is a clinical data assistant?

Clinical Data Assistants are professionals who support the collection, management, and analysis of clinical data in healthcare and research settings. They ensure that data from clinical trials or medical records are accurately recorded, organized, and compliant with regulatory standards. Their work is crucial for maintaining data integrity and supporting the research process, often involving data entry, validation, and quality control tasks. Clinical Data Assistants collaborate with clinical teams, data managers, and other stakeholders to facilitate smooth data flow and support clinical research objectives.

What are some typical challenges a clinical data assistant might face when managing large volumes of clinical trial data?

Clinical Data Assistants often encounter challenges such as ensuring data accuracy while handling large datasets, dealing with incomplete or inconsistent information from various sources, and adhering to strict regulatory guidelines. They must be diligent in data entry, verification, and resolving discrepancies, often collaborating closely with clinical research coordinators and data managers. Effective communication and attention to detail are essential to maintain high data quality and support the overall success of clinical trials.

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

To excel as a Clinical Data Assistant, you need a solid understanding of data management, attention to detail, and familiarity with clinical research processes, typically supported by a degree in a health or life science field. Proficiency in electronic data capture (EDC) systems, Microsoft Excel, and knowledge of Good Clinical Practice (GCP) guidelines or relevant certifications are typical requirements. Strong organizational skills, communication, and the ability to work collaboratively within multidisciplinary teams make candidates stand out. These competencies are crucial for ensuring accurate data collection, regulatory compliance, and smooth execution of clinical studies.

What is the difference between Clinical Data Assistant vs Clinical Data Coordinator?

AspectClinical Data AssistantClinical Data Coordinator
CertificationsOften requires basic data management or healthcare certificationsTypically requires similar certifications, with additional experience
Work EnvironmentHospitals, clinics, research labsResearch institutions, hospitals, clinical trial sites
Job ResponsibilitiesData entry, data cleaning, supporting data collectionOverseeing data quality, managing databases, coordinating data flow

The Clinical Data Assistant primarily handles data entry and support tasks, while the Clinical Data Coordinator manages data quality and oversees data management processes. Both roles are essential in clinical research settings and often require similar certifications and work environments.

What are the most commonly searched types of Clinical Data jobs in Virginia?

The most popular types of Clinical Data jobs in Virginia are:

What are popular job titles related to Clinical Data Assistant jobs in Virginia?

For Clinical Data Assistant jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Clinical Data Assistant jobs in Virginia look for?

The top searched job categories for Clinical Data Assistant jobs in Virginia are:

What cities in Virginia are hiring for Clinical Data Assistant jobs?

Cities in Virginia with the most Clinical Data Assistant job openings:

Clinical Data Assistant jobs near you
Infographic showing various Clinical Data Assistant job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $33,610 per year, or $16.2 per hour.

Clinical Data & Applications Analyst II

Chantilly, VA

Choice. Respect. independence. (CRi)
See more jobs at Choice. Respect. independence. (CRi)external

Full-time

Posted 20 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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