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Entry Level Clinical Data Analyst Jobs in Washington

Georgetown University

Data Analyst

Washington, DC · On-site

$26.26 - $48.32/hr

The Data Analyst may interact with clinical trial subjects to plan visits to the clinical trial, as well as schedule the subjects in Google Calendar. The Data Analyst will work with the Clinical ...

Tresume and Asta CRS

Entry Level Data Analyst

Herndon, VA · On-site

$25 - $30/hr

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Oracle

Federal Lead Data Analyst

Arlington, VA · On-site

Federal Lead Data Analyst This role is based in our Arlington, VA office We're on a journey to advance how health happens with technologies that support clinicians, inspire innovation, empower ...

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Entry Level Clinical Data Analyst information

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

As of Aug 21, 2026, the average hourly pay for entry level clinical data analyst in Washington is $41.18, according to ZipRecruiter salary data. Most workers in this role earn between $33.22 and $47.64 per hour, depending on experience, location, and employer.

What is an entry level clinical data analyst?

An Entry Level Clinical Data Analyst is responsible for collecting, cleaning, and analyzing clinical data to support healthcare research and decision-making. They work with databases, statistical tools, and reporting software to ensure data accuracy and integrity. Their role often includes identifying trends, generating reports, and assisting in regulatory compliance. This position requires analytical skills, attention to detail, and knowledge of clinical terminology and data management systems. It is a great starting point for individuals interested in healthcare analytics and clinical research.

What are the typical daily responsibilities of an entry level clinical data analyst?

As an Entry Level Clinical Data Analyst, your daily responsibilities typically include reviewing and cleaning clinical trial data, performing data entry or validation tasks, generating standard reports, and assisting with database testing and documentation. You may work closely with senior data analysts, clinical research coordinators, and project managers to ensure data accuracy and compliance with regulatory standards. Collaboration and communication are key, as you’ll often participate in team meetings to discuss data queries or project updates. This hands-on experience helps build a strong foundation for future growth in the clinical data management field.

What are the key skills and qualifications needed to thrive as an entry level clinical data analyst?

Entry Level Clinical Data Analysts need foundational knowledge in statistics, data management, and healthcare terminology, usually supported by a degree in a related field such as life sciences, health informatics, or mathematics. Familiarity with data analysis software like Microsoft Excel, SAS, or SQL, and exposure to clinical trial management systems or electronic data capture (EDC) platforms are beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills help individuals excel in this role. These competencies are crucial for ensuring accurate and reliable data collection, analysis, and reporting that directly support clinical research outcomes.

Can I become an entry level clinical data analyst with no experience?

Entry level clinical data analysts typically need a bachelor's degree in a related field such as health informatics, biology, or statistics. While prior experience is not always required, familiarity with data management tools like Excel or SQL and understanding of clinical research processes can improve job prospects. Entry-level roles often provide on-the-job training for specific software and procedures.

What do you need to be an entry level clinical data analyst?

To become an entry-level clinical data analyst, candidates typically need a bachelor's degree in health informatics, biology, statistics, or a related field. Skills in data management, proficiency with tools like Excel and SQL, and understanding of clinical trial processes are important. Some positions may also require familiarity with electronic data capture systems and basic knowledge of regulatory standards such as HIPAA.

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

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

What are popular job titles related to Entry Level Clinical Data Analyst jobs in Washington?

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

What job categories do people searching Entry Level Clinical Data Analyst jobs in Washington look for?

The top searched job categories for Entry Level Clinical Data Analyst jobs in Washington are:

What cities in Washington are hiring for Entry Level Clinical Data Analyst jobs?

Cities in Washington with the most Entry Level Clinical Data Analyst job openings:

Entry Level Clinical Data Analyst jobs near you
Infographic showing various Entry Level Clinical Data Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $85,653 per year, or $41.2 per hour.

Clinical Data & Applications Analyst II

Choice. Respect. independence. (CRi)

Chantilly, VA • On-site

Full-time

Posted 10 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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