ZipRecruiter

Log In

2

Entry Level Clinical Data Manager Jobs in Virginia

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.

Zimmer Biomet

$15 - $20/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the Biostatistics & Clinical Data Management (BCDM) department in the development and maintenance of ...

next page

Showing results 1-20

All JobsClinical Data JobsEntry Level Clinical Data Manager JobsEntry Level Clinical Data Manager Jobs in Virginia

Entry Level Clinical Data Manager information

See Virginia salary details

$19

$56

$81

How much do entry level clinical data manager jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level 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 an entry level clinical data manager do?

An Entry Level Clinical Data Manager is responsible for collecting, organizing, and ensuring the accuracy of data generated during clinical trials. They work closely with clinical research teams to input data into specialized databases, perform quality checks, and help resolve discrepancies. Their role is essential in maintaining data integrity and supporting the successful completion of medical research studies. Entry-level positions often involve learning industry regulations, data management systems, and standard operating procedures under the guidance of more experienced staff.

What are the key skills and qualifications needed to thrive as an entry level clinical data manager, and why are they important?

To thrive as an Entry Level Clinical Data Manager, you need a solid understanding of clinical research processes, data management principles, and a relevant degree such as life sciences or statistics. Familiarity with clinical data management systems (CDMS), electronic data capture (EDC) tools like Medidata Rave, and GCP certification are typically expected. Attention to detail, analytical thinking, and effective communication are essential soft skills for ensuring data quality and collaborating with study teams. These competencies are crucial for maintaining data integrity, regulatory compliance, and supporting successful clinical trials.

What are some common challenges faced by entry level clinical data managers during their first year on the job?

As an entry level clinical data manager, you may encounter challenges such as learning to navigate complex clinical trial data management systems, ensuring data accuracy while meeting tight deadlines, and understanding regulatory compliance requirements. Adapting to the fast-paced environment and collaborating effectively with cross-functional teams, including clinical research associates and statisticians, can also be demanding initially. However, with mentorship and on-the-job training, these challenges become valuable learning opportunities that help build a solid foundation for a career in clinical data management.

What is the difference between Entry Level Clinical Data Manager vs Clinical Data Coordinator?

AspectEntry Level Clinical Data ManagerClinical Data Coordinator
CredentialsBachelor's in life sciences or related field; familiarity with data management toolsBachelor's in health sciences or related field; basic data entry skills
Work EnvironmentPharmaceutical or biotech companies, CROs, clinical research settingsClinical trial sites, hospitals, research organizations
ResponsibilitiesManaging data collection, quality control, database setupData entry, data verification, supporting data queries

Entry Level Clinical Data Managers and Clinical Data Coordinators often work in clinical research environments, but the former typically handles data management systems and quality control, while the latter focuses on data entry and verification. Both roles require similar educational backgrounds, but the Clinical Data Manager position involves more technical responsibilities and oversight.

More about Entry Level Clinical Data Manager jobs

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 Entry Level Clinical Data Manager jobs in Virginia?

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

What job categories do people searching Entry Level Clinical Data Manager jobs in Virginia look for?

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

What cities in Virginia are hiring for Entry Level Clinical Data Manager jobs?

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

Entry Level Clinical Data Manager jobs near you
Infographic showing various Entry Level Clinical Data Manager job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 88% In-person, and 12% 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 • 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.

Apply