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Associate Clinical Data Analyst Jobs in Virginia

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 ...

Job Id: 805128 Data Analyst- Clinical Operations Informatics Specialist Client: VA DOC Location: Onsite, 6900 Atmore Road, Richmond VA 23225 Duration: 12+ Months * The role supports workflow ...

Recruiting for this role ends on 10/1/2026 Position Summary The Clinical Data Analytics (CDA) AMS Lead will serve as the primary functional and operational expert for the Clinical Data Analytics (CDA ...

Recruiting for this role ends on 10/1/2026 Position Summary The Clinical Data Analytics (CDA) AMS Lead will serve as the primary functional and operational expert for the Clinical Data Analytics (CDA ...

Data Analyst

Richmond, VA · On-site

$95 - $135/hr

Collect, report and analyze data for internal and external use in support of the department ... Build diverse, accurate reports using large amounts of financial and clinical data. * Query ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud ...

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Associate Data Analyst

Falls Church, VA · On-site

$76K - $142K/yr

Proficiency in data analysis and statistical analysis techniques. * Experience in business intelligence tools and methodologies (minimum 1 year) * Strong reporting and data visualization skills using ...

Data Analyst 4

Richmond, VA · On-site

$40 - $42/hr

Demonstrated experience answering clinical questions into analysis of data from an electronic health record system. * Demonstrated experience validating EHR data with outside data sources.

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Associate Clinical Data Analyst information

See Virginia salary details

$12

$35

$66

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

As of Aug 30, 2026, the average hourly pay for associate clinical data analyst in Virginia is $35.97, according to ZipRecruiter salary data. Most workers in this role earn between $26.65 and $44.42 per hour, depending on experience, location, and employer.

What does an associate clinical data analyst do?

An Associate Clinical Data Analyst is responsible for collecting, managing, and analyzing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They typically work closely with clinical research teams to support data entry, data cleaning, and the preparation of reports. Their work is essential in helping organizations make informed decisions about the safety and efficacy of medical treatments, devices, or drugs. This entry-level role often serves as a foundation for more advanced positions in clinical data management or biostatistics.

What are some common challenges faced by associate clinical data analysts when working with clinical trial data?

Associate Clinical Data Analysts often encounter challenges such as managing large volumes of complex clinical trial data, ensuring data accuracy and consistency, and adhering to strict regulatory standards. They may also need to resolve discrepancies found during data cleaning and work collaboratively with clinical research teams to clarify ambiguous data points. Staying organized and maintaining clear communication with colleagues are key to overcoming these challenges and ensuring high-quality data for analysis.

What are the key skills and qualifications needed to thrive as an associate clinical data analyst, and why are they important?

To thrive as an Associate Clinical Data Analyst, you need a solid background in life sciences, statistics, or a related field, often supported by a bachelor’s degree. Familiarity with data management systems like EDC (Electronic Data Capture), statistical software such as SAS or R, and regulatory standards is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, regulatory compliance, and the successful execution of clinical research studies.

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

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

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

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

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

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

What cities in Virginia are hiring for Associate Clinical Data Analyst jobs?

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

Infographic showing various Associate Clinical Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $74,824 per year, or $36 per hour.

Clinical Data & Applications Analyst II

CRi

Chantilly, VA • On-site

$65K - $70K/yr

Full-time

Posted 18 days ago


Job description

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.

Requirements
Minimum Qualifications
  • Bachelor's degree in Information Systems, Health Informatics, Data Analytics, Healthcare Administration, Computer Science, or a related field. An equivalent combination of education and relevant experience may be considered.
  • At least five years of combined experience in Electronic Health Record management, data administration, data analysis, or closely related functions.
Preferred Qualifications
  • Five or more years of experience working with a certified Electronic Health Record system, preferably a Netsmart or Qualifacts product.
  • Experience analyzing high-volume EHR or clinical data to support operational and business decision-making.
  • Experience implementing, configuring, or transitioning an Electronic Health Record system.
  • Experience managing confidential client and employee information subject to HIPAA requirements.
  • Experience de-identifying protected or confidential data for reporting and analysis.
  • Experience working with EHR reporting, system integrations, interoperability, or clinical application administration.
  • Experience with Microsoft SharePoint, Teams, and workflow development.
  • Experience supporting or implementing AI-enabled healthcare or documentation technologies is a plus.
Why Join CRi?
This position offers an opportunity to work at the intersection of clinical operations, data, technology, and AI. You'll collaborate with clinical and technology leaders to improve systems that directly support our employees, programs, and the individuals we serve.
If you're an analytical problem-solver who understands EHR systems and enjoys turning complex clinical and technology needs into practical solutions, we'd like to hear from you.
Apply today to join CRi as our Clinical Data & Applications Analyst.
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