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Entry Level Clinical Data Analyst Jobs in Washington

Vanda Pharmaceuticals

Clinical

Washington, DC · On-site

Develop statistical analysis plans and perform preliminary and exploratory data analysis of completed clinical trials * Participate in the development and maintenance of clinical operating guides and ...

New

Actalent

Clinical Pharmacist

Washington, DC · On-site

$134K - $160K/yr

... entry-level clinical pharmacist role. In addition to providing direct clinical services, the ... Enter, verify, and maintain accurate computer records and data for medication orders, ensuring ...

i3

Principal Data Scientist

Washington, DC · On-site

... analytics. Proven track record of architecting scalable Machine Learning Ops pipelines and ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

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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 22, 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.

AI Data Analyst US Citizens only, active TS/SCI clearance required

LTC Solutions LLC

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description


LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients’ needs, we would like to meet you!

LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).




Location: Hybrid (Supporting Pentagon, Arlington, VA)

Status: Contingent Hire – Full-Time – Hybrid

Clearance: US Citizens with Active TS/SCI Security Clearance (Required)

MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools.

Position Summary

The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making.

The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance.

Required Qualifications

  • U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
  • One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
  • Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
  • Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
  • Experience collecting, cleaning, validating, and transforming structured datasets.
  • Working knowledge of relational databases, SQL queries, and data management principles.
  • Strong analytical, problem-solving, and technical communication skills.
  • Ability to work independently while collaborating effectively with senior analysts and Government personnel.

Preferred Qualifications

  • Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
  • Experience developing automated data pipelines or reusable scripts.
  • Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
  • Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
  • Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
  • Experience creating interactive dashboards and executive visualization products.
  • Exposure to artificial intelligence, machine learning, or predictive analytics concepts.

Primary Duties

  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
  • Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
  • Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
  • Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
  • Research data anomalies, resolve inconsistencies, and document corrective actions.
  • Support integration of data from multiple Government systems into consolidated analytical datasets.
  • Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
  • Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
  • Assist with testing, validating, and deploying analytical products before Government delivery.
  • Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
  • Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
  • Perform additional analytical, scripting, automation, and reporting duties as assigned.

LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.