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Associate Clinical Data Manager Jobs in Virginia

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 & Applications Analyst to support the management, optimization, and implementation of our clinical ...

Booz Allen Hamilton

Senior Data Manager

Alexandria, VA · On-site

$99K - $225K/yr

R0243922 Data Manager, Senior The Opportunity: Manages all aspects of product engineering activities including hardware, software, automation, and IT. Applies advanced advisory skills or extensive ...

PeopleNTech

Data Warehouse Architect 2

Richmond, VA · On-site

This position will act in support of the Client's Data Management Team to ingest, clean, and process clinical data. This will include, but not be limited to, the following activities: * Designing the ...

nLeague

DOC - Data Analyst 4

Richmond, VA · On-site

Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management * Extensive experience with applying national EHR standards to an EHR product.

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How much do associate clinical data manager jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for associate clinical data manager in Virginia is $38.62, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $38.61 per hour, depending on experience, location, and employer.

What does an associate clinical data manager do?

An Associate Clinical Data Manager is responsible for collecting, cleaning, and managing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They work closely with clinical teams to design data collection tools, monitor data quality, and resolve discrepancies. Their work is crucial in supporting the analysis and reporting of clinical trial results, which can impact decisions about new medical treatments.

What are the key skills and qualifications needed to thrive as an associate clinical data manager?

To thrive as an Associate Clinical Data Manager, you need a solid background in life sciences or related fields, strong analytical abilities, and attention to detail, often supported by a relevant bachelor's degree. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools like Medidata Rave, and an understanding of regulatory guidelines such as ICH-GCP are typically required. Excellent organizational skills, effective communication, and problem-solving abilities help you excel in managing complex datasets and collaborating across teams. These skills ensure data integrity, regulatory compliance, and smooth conduct of clinical trials, which are critical to successful drug development.

What are some common challenges an associate clinical data manager might face when working on multi-site clinical trials?

Associate Clinical Data Managers often encounter challenges such as ensuring data consistency across different trial sites and managing discrepancies that arise from varying data entry practices. Coordinating with site staff, monitoring data quality, and adhering to strict timelines require strong communication and organizational skills. Additionally, adapting to evolving regulatory requirements and new data management technologies can be demanding, but these challenges also offer valuable learning opportunities for career growth.

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

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

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

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

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

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Cities in Virginia with the most Associate Clinical Data Manager job openings:

Associate Clinical Data Manager jobs near you
Infographic showing various Associate Clinical Data Manager job openings in Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,325 per year, or $38.6 per hour.

Clinical Data & Applications Analyst II

Choice. Respect. independence. (CRi)

Chantilly, VA • On-site

Full-time

Posted 7 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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