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Entry Level Statistical Programmer Jobs in Washington

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

Understanding of probability and statistics is required, experience with control systems is desired ... This is not an entry level position and real-world experience is required. While this role is not ...

Showing results 21-40

Entry Level Statistical Programmer information

See Washington salary details

$95.7K

$166.8K

$282K

How much do entry level statistical programmer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for entry level statistical programmer in Washington is $166,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $181,200.00 per year, depending on experience, location, and employer.

What does an entry level statistical programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an entry level statistical programmer?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What are the most commonly searched types of Statistical Programmer jobs in Washington?

The most popular types of Statistical Programmer jobs in Washington are:

What are popular job titles related to Entry Level Statistical Programmer jobs in Washington?

For Entry Level Statistical Programmer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Programmer jobs in Washington look for?

The top searched job categories for Entry Level Statistical Programmer jobs in Washington are:

What cities in Washington are hiring for Entry Level Statistical Programmer jobs?

Cities in Washington with the most Entry Level Statistical Programmer job openings:

Infographic showing various Entry Level Statistical Programmer job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $166,822 per year, or $80.2 per hour.

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

Washington, DC • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 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.