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Internship Sas Programmer Jobs in Washington, DC

... interns contribute to software, DevOps, data, or infrastructure projects, work with modern ... SQL, Postgres, Oracle, Redshift, RDS, Kinesis, Dremio, Tableau, Spark, SAS, Domino Data Lab * Cloud ...

This 10-week internship program ( June 7, 2027 - August 13, 2027 ) offers a set hourly rate of $41 ... Agentic AI Development Data Engineering * Predictive Analytics, BI, Data Science (Spark, SAS, R ...

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Internship Sas Programmer information

See Washington, DC salary details

$16

$55

$90

How much do internship sas programmer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for internship sas programmer in Washington, DC is $55.50, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $69.71 per hour, depending on experience, location, and employer.

What is an internship SAS programmer?

An Internship SAS Programmer job involves assisting in data management, statistical analysis, and report generation using SAS software. Interns typically work under the guidance of experienced programmers or analysts in industries like healthcare, finance, or research. Responsibilities may include writing SAS code, cleaning and analyzing datasets, and generating tables or visualizations. This internship provides hands-on experience with SAS tools and helps develop programming and analytical skills. It is ideal for students or recent graduates looking to build a career in data analysis or programming.

What types of projects or tasks can I expect to work on as an internship SAS programmer?

As an Internship SAS Programmer, you will typically assist with preparing and cleaning large datasets, writing and testing SAS code for data analysis, and generating reports or visualizations for your team. You may support ongoing projects in fields such as healthcare, finance, or marketing, working alongside experienced analysts and statisticians. Interns often have opportunities to participate in team meetings, contribute to process improvements, and present findings to supervisors or stakeholders. This hands-on experience helps you develop both technical and professional skills valuable for a future career in data analysis or programming.

What are the key skills and qualifications needed to thrive in the internship SAS programmer position, and why are they important?

To thrive as an Internship SAS Programmer, you need fundamental knowledge of statistical concepts and programming skills, typically supported by coursework or experience in computer science, statistics, or a related field. Familiarity with SAS software, including data manipulation and analysis, and exposure to related tools like SQL or Excel is common. Strong problem-solving, attention to detail, and effective communication skills help you excel in collaborative, fast-paced environments. These skills ensure accurate data analysis and meaningful contributions to team projects during your internship.

What are the most commonly searched types of Sas Programmer jobs in Washington, DC?

The most popular types of Sas Programmer jobs in Washington, DC are:

What are popular job titles related to Internship Sas Programmer jobs in Washington, DC?

For Internship Sas Programmer jobs in Washington, DC, the most frequently searched job titles are:

Infographic showing various Internship Sas Programmer job openings in Washington, DC as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $112,685 per year, or $54.2 per hour.

Data Programmer/Analytical Support

A P Ventures

Columbia, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

POSITION TITLE: Data Programmer/Analytical Support LOCATION:Remote CLEARANCE:Must be able to obtain aHigh-RiskPublic Trust COMPANY OVERVIEW At APV,weremore than a technology company werea mission-driven powerhouse transforming organizations through advanced technology and human ingenuity. Ourexpertisespans AI/ML, data architecture, low-code/no-code development, AgileDevSecOps, and cloud services, delivering scalable and meaningful solutions. In our Emerging Technology Lab, innovation drives progress.

Our teams create intelligent chatbots, AI-powered assistants, robotic process automation (RPA), essay graders, and data analytics platforms. Ifyourepassionate about solving complex challenges and shaping the future, APV is the place for you. Since 2007,wevepartnered with federal and state agencies to deliver IT, training, and consulting solutions that achieve mission-critical outcomes. Built on accountability, integrity, and quality, we go beyond expectations.

With 70+ prime contracts and a proven record of client success, APV continues to grow andwerelooking for exceptional talent to grow with us. At APV, we Always Provide Value POSITION SUMMARY APV is seeking a Data Programmer/Analytical to support production, data preparation, quality control, testing, documentation, and routine analytical activities for FDA CDER's Office of Computational Science. The position is designed for an early-career technical professional with foundational programming and data-analysis skills who can execute well-defined tasks under the direction of senior programmers, data standards specialists, and clinical/nonclinical subject matter experts DUTIES Write, execute, and maintain basic programs and scripts using R, Python, SAS, SQL, or similar programming languages.

Prepare, transform, organize, and perform basic validation of structured datasets.

Execute established analytical workflows using approved specifications, templates, scripts, and procedures.

Generate recurring tables, listings, reports, visualizations, and other analytical outputs.

Perform first-level quality control of datasets, programs, and outputs.

Compare expected and actual results and document discrepancies.

Execute regression tests and predefined test cases for analytical tools and workflows.

Troubleshoot routine programming errors and escalate more complex issues to senior staff. Support development and maintenance of reusable scripts, templates, functions, and automation components.

Assist senior staff with data preparation and routine processing supporting clinical, SpAS, and nonclinical analyses.

Maintain documentation of datasets, programs, processing steps, testing results, versions, and final outputs.

Organize analytical artifacts within approved repositories and configuration-management processes.

Support basic visualization and dashboard development where appropriate.

Assist with user acceptance testing, tool testing, and validation activities.

Learn FDA-specific tools, data formats, and analytical processes through structured onboarding and mentoring.

EDUCATION

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Economics, Biology, Bioinformatics, or another quantitative or technical discipline. REQUIRED QUALIFICATIONS 02 years of professional experience; relevant internships, academic projects, research experience, or co-op experience may satisfy the experience requirement.

Basic programming experience in at least one language such as Python, R, SAS, SQL, Java, or similar.

Ability to work with structured datasets and perform basic data transformations.

Understanding of basic software testing, data-quality, or analytical concepts.

Ability to follow detailed technical specifications and established procedures.

Strong attention to detail and documentation skills. Ability to work collaboratively and accept technical direction from senior team members.

Must be able to obtain and maintain a High-Risk Public Trust or equivalent federal client access.

This role supports sensitive federal programs and involves elevated access to systems and data. Position requires the current ability to obtain and maintain required access without interruption in alignment with long-term program needs. Must be authorized to work in the United States without employer sponsorship now or in the future.

PREFERRED QUALIFICATIONS

Exposure to life sciences, healthcare data, clinical research, pharmaceutical development, regulatory data, CDISC standards, SAS, R, visualization tools, Git/version control, or automated testing is helpful but not required at the time of hire. ABOUT APV APV is an Equal Employment Opportunity employer. All qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, veteran status, or marital status.