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Statistical Programming Intern Jobs in Reston, VA

AEI

Fall Intern: Economic Policy

Washington, DC · On-site

... statistics, and official databases, such as those of the Bureau of Economic Analysis, Bureau of ... AEI's internship program runs for 12 weeks and all related programming will take place in-person in ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

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All JobsStatistical Programming Intern JobsStatistical Programming Intern Jobs in Reston, VA

Statistical Programming Intern information

What does a statistical programming intern do?

A Statistical Programming Intern assists in analyzing data and creating statistical reports, often using software languages like SAS, R, or Python. They help design and implement data analysis plans, support senior statisticians or data scientists, and ensure data quality and integrity. Their work is crucial in fields like clinical research, finance, and marketing, where data-driven decision-making is essential. Interns gain hands-on experience with real-world datasets and learn best practices in data management and statistical analysis.

What is the difference between Statistical Programming Intern vs Data Analyst Intern?

AspectStatistical Programming InternData Analyst Intern
Required SkillsProgramming (R, SAS, Python), statistical methodsData analysis, Excel, SQL, visualization
Work EnvironmentPharmaceutical, biotech, or research labsBusiness, marketing, or finance sectors
Typical TasksData cleaning, statistical modeling, programmingData interpretation, reporting, dashboards

Both roles often require programming and data skills, but Statistical Programming Interns focus more on statistical modeling and programming tasks within research environments, while Data Analyst Interns handle broader data analysis and reporting in business settings. They share similar entry-level requirements but differ in industry focus and daily responsibilities.

What types of projects or tasks can a statistical programming intern expect to work on during their internship?

As a Statistical Programming Intern, you will typically assist with data cleaning, preparation, and analysis for ongoing research or clinical studies. You might be responsible for writing and testing code in SAS, R, or Python to generate tables, listings, and figures, as well as supporting the development of statistical analysis plans. Interns often collaborate closely with biostatisticians, data managers, and clinical teams to ensure high-quality data outputs. This role offers valuable exposure to real-world datasets and best practices in statistical programming, providing a solid foundation for future roles in data science or biostatistics.

What are the key skills and qualifications needed to thrive as a statistical programming intern, and why are they important?

To thrive as a Statistical Programming Intern, you need a solid grounding in statistics, programming (often with R or SAS), and data analysis, typically supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with statistical software, version control systems like Git, and database tools is highly beneficial, alongside any relevant certifications in programming languages or analytics platforms. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting data and collaborating with team members. These skills are important because they enable interns to accurately analyze data, contribute to research projects, and support informed decision-making in data-driven environments.
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Statistical Programming Intern jobs near you
Infographic showing various Statistical Programming Intern job openings in Reston, VA as of August 2026, with employment types broken down into 1% Internship, 78% Full Time, 15% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Year-Round Graduate Data Engineer Intern, DATA - R&S

Federal Reserve System

Washington, DC

Full-time, Part-time, Internship

Posted 18 days ago

Job description

Minimum Education
Enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship.
Minimum Experience
0
Summary
The Federal Reserve Board (Board) provides students opportunities for career success. The Board's Internship program is designed to provide valuable work experience for graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board's internship program is granted to U.S. citizens. Applicants must be currently enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.

The Data Architecture, Technology, and Analytics (DATA) section is seeking a graduate intern to support the advancement of key initiatives focused on modernizing the Research & Statistics Division's data environment. This role will provide hands-on experience with data engineering, data transformation, data pipelines, and storage while contributing to ongoing projects that enhance the division's ability to manage and leverage data effectively. The intern will contribute to a range of assignments, including structured data engineering projects and ad-hoc tasks, gaining practical insight into how modern data solutions are developed and implemented in a collaborative environment.

Specific projects/assignments may include:

         Developing data pipelines and machine learning-based analytical tools within an AWS environment.

         Designing and implementing data quality and automation solutions, including data validation processes, workflow automation, metadata management, and reusable scripts to improve the efficiency and reliability of data operations.

         Developing data visualization and analytical products using tools such as Python, SQL, and AWS services to support operational reporting, performance monitoring, and data-driven decision making. This may include creating dashboards, interactive reports, and analytical prototypes for staff.

Education Requirements

         Graduating August 2027 or later

         Currently pursuing a graduate degree in Computer Science, Information Management Systems, Data Analytics, or other related field of study.

Skills/Knowledge Required

         Graduate school level or equivalent Data Analytics background with AWS cloud experience.

         Strong quantitative skills, including programming experience in python, R and other scripting languages for processing numerical and unstructured data.

         Experience in creating complex regular expressions.

         Knowledge of AWS cloud

         Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools (e.g., Excel, Power Bl, python/R graphics lib).

         Excellent oral and written communication skills.

         Excellent organization skills.

Data Science, Data Engineering, Data Pipeline Development, Python and Database experience is preferred but not required.

This internship will be part-time during fall/spring semesters (no more than 20 hours per week) and full-time in the summer. The selected candidate will be required to be onsite at our offices in Washington, DC during the summer.

Required Documents: Resume; an unofficial transcript may be requested.

US Citizenship is required for all Board internships and applicants must be current students, graduating from their program August 2027 or later.

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