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Clinical Data Manager 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 & 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

  • Medical

  • Life

  • Retirement

  • PTO

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.

Jobtailor

Data Analyst

Richmond, VA · On-site

$95 - $135/hr

Build diverse, accurate reports using large amounts of financial and clinical data. * Query ... Previous project management knowledge and skills. * Experience with statistical analysis software ...

New

VENESCO, LLC

SAS Programmer

Falls Church, VA · On-site +1

... data management teams Support regulatory submissions and audits Minimum Qualifications: Bachelor's or Master's degree in Statistics or related field 5+ years of SAS programming experience in clinical ...

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Clinical Data Manager information

See Virginia salary details

$19

$56

$81

How much do clinical data manager jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for clinical data manager in Virginia is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $67.45 per hour, depending on experience, location, and employer.

What does a clinical data manager do?

A Clinical Data Manager is responsible for collecting, validating, and managing data from clinical trials to ensure its accuracy, integrity, and compliance with regulatory standards. They design data collection systems, oversee database development, and collaborate with clinical research teams to resolve data discrepancies. By ensuring high-quality data, Clinical Data Managers play a vital role in the success of clinical trials and the development of new medical treatments.

What does a clinical data manager do?

A clinical data manager handles all the data needs of clinical trials for biotechnology and pharmaceutical companies. As a clinical data manager, your responsibilities include the research and storage of data related to clinical trials and programs. Your job duties are to collect, process, and analyze data. You must routinely evaluate your data collection and analysis processes to ensure that results are accurate and valid. You must also ensure that your work is in compliance with ethical research standards and regulations from organizations like the Food and Drug Administration (FDA).

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

To thrive as a Clinical Data Manager, you need a solid understanding of clinical research processes, data management principles, and a degree in life sciences, computer science, or related fields. Expertise with clinical data management systems (CDMS), electronic data capture (EDC) tools, and familiarity with regulatory standards like CDISC and GCP are typically required. Attention to detail, problem-solving abilities, and effective communication distinguish top performers in this role. These skills ensure accurate, compliant data handling and seamless collaboration across clinical research teams, which are critical for successful clinical trial outcomes.

What are some common challenges clinical data managers face when working on multi-site clinical trials?

Clinical Data Managers often encounter challenges such as ensuring data consistency across different sites, managing large volumes of complex data, and coordinating with site staff to resolve discrepancies. They must also stay up-to-date with regulatory requirements and ensure timely data cleaning and database lock. Effective communication and strong organizational skills are essential to navigate these complexities and maintain high data quality throughout the study.

How much do clinical data managers make in the US?

Clinical data managers in the US typically earn between $70,000 and $110,000 annually, with salaries varying based on experience, education, and location. Entry-level positions may start around $60,000, while experienced professionals with specialized skills can earn over $120,000. Certifications in data management and proficiency with electronic data capture systems can also influence salary levels.
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The most popular types of Clinical Data jobs in Virginia are:

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

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

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

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

Clinical Data Manager jobs near you
Infographic showing various Clinical Data Manager job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $117,889 per year, or $56.7 per hour.

Clinical Data & Applications Analyst II

Choice. Respect. independence. (CRi)

Chantilly, VA

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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