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Clinical Applications Jobs in Washington (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 ...

Posted today

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Clinical Applications information

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$27

$51

$69

How much do clinical applications jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for clinical applications in Washington is $51.76, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $58.80 per hour, depending on experience, location, and employer.

What is the difference between Clinical Applications vs Clinical Data Analyst?

AspectClinical ApplicationsClinical Data Analyst
Required CredentialsTypically requires healthcare IT certifications, clinical informatics degrees, or related certificationsRequires data analysis, statistics, and healthcare data certifications or degrees
Work EnvironmentHospitals, clinics, healthcare IT departmentsHealthcare organizations, research institutions, data-focused departments
Employer & Industry UsageUsed by healthcare providers implementing clinical software systemsUsed by healthcare organizations analyzing clinical data for insights

While both roles operate within healthcare settings, Clinical Applications professionals focus on implementing and managing clinical software systems, whereas Clinical Data Analysts analyze healthcare data to support decision-making. Both roles require healthcare knowledge but differ in technical focus and daily tasks.

What are clinical applications?

Clinical applications refer to specialized software and tools used in healthcare settings to support patient care, streamline workflows, and facilitate clinical decision-making. These systems include electronic health records (EHRs), imaging software, laboratory information systems, and other digital solutions that assist healthcare professionals in diagnosing, treating, and monitoring patients. Clinical applications are vital for improving efficiency, enhancing patient safety, and ensuring accurate record-keeping in medical environments.

What are the key skills and qualifications needed to thrive as a clinical applications specialist?

To thrive as a Clinical Applications Specialist, you need in-depth knowledge of clinical workflows, healthcare informatics, and a relevant healthcare or IT degree. Familiarity with electronic health record (EHR) systems, clinical decision support tools, and relevant certifications such as Epic or Cerner are typically required. Strong problem-solving, communication, and training skills help you support end-users and translate clinical needs into technical solutions. These skills ensure smooth system implementation, optimize clinical processes, and improve patient care outcomes.

How does a clinical applications specialist typically interact with healthcare staff and IT teams during a new software implementation?

As a Clinical Applications Specialist, you will serve as a key liaison between clinical staff, such as nurses and physicians, and IT professionals when implementing new healthcare software. Your role involves gathering user requirements, customizing system features, training end-users, and troubleshooting issues. Collaboration and effective communication are essential, as you’ll bridge the gap between technical solutions and clinical workflows to ensure the software meets both operational and patient care needs.
What are the most commonly searched types of Clinical Applications jobs in Washington? The most popular types of Clinical Applications jobs in Washington are:
What are popular job titles related to Clinical Applications jobs in Washington? For Clinical Applications jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Clinical Applications jobs in Washington look for? The top searched job categories for Clinical Applications jobs in Washington are:
What cities in Washington are hiring for Clinical Applications jobs? Cities in Washington with the most Clinical Applications job openings:
Clinical Applications jobs near you
Infographic showing various Clinical Applications job openings in Washington as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 18% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $107,670 per year, or $51.8 per hour.

Clinical Data & Applications Analyst II

Choice. Respect. independence. (CRi)

Chantilly, VA • On-site

Full-time

Posted 21 hours ago

Posted today

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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