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Clinical Data Management 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 ...

New

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.

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 ...

VENESCO LLC

SAS Programmer

Falls Church, VA · On-site

Venesco is seeking a skilled SAS Programmer to support clinical data analysis and regulatory ... Collaborate with statisticians and data management teams * Support regulatory submissions and ...

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All JobsClinical Data Management JobsClinical Data Management Jobs in Virginia

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How much do clinical data management jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for clinical data management 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 is clinical data management?

Clinical data management (CDM) is a critical process in clinical research that involves collecting, cleaning, and managing data generated during clinical trials. The goal is to ensure that the data is accurate, reliable, and compliant with regulatory standards. CDM professionals work closely with researchers, statisticians, and regulatory bodies to validate data and ensure its integrity throughout the study. This process helps in making informed decisions about the safety and efficacy of new drugs or treatments.

What are some common challenges faced by professionals in clinical data management, and how can they be addressed?

One of the common challenges in Clinical Data Management is ensuring data accuracy and consistency across multiple sources and formats. This often involves resolving discrepancies and managing large volumes of data within tight timelines. Effective communication with clinical research associates, statisticians, and IT teams is crucial to address data queries promptly and maintain data integrity. Staying updated with regulatory requirements and leveraging advanced data management systems can also help mitigate these challenges and improve overall workflow efficiency.

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

AspectClinical Data ManagementClinical Data Coordinator
ResponsibilitiesDesigning data collection processes, database setup, data validation, and ensuring data quality for clinical trials.Collecting, reviewing, and entering clinical trial data, ensuring accuracy and completeness.
Required SkillsKnowledge of data management systems, clinical trial processes, and data validation techniques.Attention to detail, data entry skills, familiarity with clinical trial documentation.
Work EnvironmentTypically in clinical research organizations, pharmaceutical companies, or CROs.Often within clinical sites or research teams supporting data collection activities.

While both roles focus on clinical trial data, Clinical Data Management involves designing and overseeing data systems and ensuring data integrity, whereas Clinical Data Coordinators handle the day-to-day data collection and entry tasks. Both are essential for successful clinical research but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive in clinical data management?

To thrive in Clinical Data Management, you need a strong background in life sciences, attention to detail, and understanding of clinical trial processes, often supported by a relevant degree. Familiarity with industry-standard data management systems such as Medidata Rave or Oracle Clinical, as well as knowledge of CDISC standards and regulatory requirements, is essential. Excellent organizational skills, communication, and problem-solving abilities help ensure data integrity and effective cross-functional collaboration. These skills and qualities are crucial for ensuring high-quality, compliant data that supports clinical research and regulatory submissions.

How do I become a clinical data manager?

To become a clinical data manager, typically a bachelor's degree in life sciences, health informatics, or a related field is required. Relevant skills include knowledge of clinical trial processes, data management tools like EDC systems, and attention to detail; certifications such as CDMP can enhance job prospects. Gaining experience through internships or entry-level roles in clinical research is also beneficial.

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

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

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

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

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

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

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

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

Clinical Data Management jobs near you
Infographic showing various Clinical Data Management job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% 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 3 days ago

New

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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