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Statistical Programmer Intern Jobs in Virginia (NOW HIRING)

Liebherr

Systems Engineering Intern

Newport News, VA · On-site

$15.25 - $19.75/hr

Works with the Engineering staff on projects outlined in the individualized intern training plan ... Ability to work with mathematical concepts such as algebra, probability and statistical inference ...

Integer

Engineering Intern

Salem, VA · On-site

$16.25 - $21/hr

... Intern. * Participate in orientation, networking opportunities targeted towards personal and ... Basic knowledge of [customize technologies to role (e.g., payroll, technical writing, statistics ...

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Statistical Programmer Intern information

What does a Statistical Programmer Intern do?

A Statistical Programmer Intern supports data analysis and reporting for clinical trials or research projects by writing and validating statistical programs, often using software like SAS, R, or Python. They collaborate with statisticians and data managers to ensure the accuracy and integrity of datasets and outputs. Interns may also assist in creating tables, listings, and figures for regulatory submissions or publications, providing valuable hands-on experience in the field of biostatistics or data science.

What are the key skills and qualifications needed to thrive as a Statistical Programmer Intern, and why are they important?

To thrive as a Statistical Programmer Intern, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and basic data analysis, often supported by progress toward a degree in statistics, mathematics, computer science, or a related field. Familiarity with statistical software, data visualization tools, and version control systems like Git is often expected. Attention to detail, problem-solving abilities, and strong communication skills help interns effectively manage data tasks and collaborate with team members. These competencies are vital for ensuring accurate data processing, clear reporting, and successful contribution to research or clinical projects.

What types of projects do Statistical Programmer Interns typically work on, and how do these contribute to larger team objectives?

Statistical Programmer Interns often assist in tasks such as cleaning and analyzing clinical or research data, creating data visualizations, and writing code for statistical analyses under the supervision of experienced programmers. These projects contribute to larger team objectives by supporting data-driven decision-making, ensuring data integrity, and helping to prepare reports for regulatory submissions or publication. Interns usually collaborate closely with biostatisticians, data managers, and other programmers, gaining exposure to real-world challenges and learning how their work fits into broader organizational goals.
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Statistical Programmer Intern jobs near you
Software Engineering Intern

Software Engineering Intern

INTERNATIONAL LOGIC SYSTEMS, INC.

Fairfax, VA • Hybrid

Other

Posted 18 days ago

Job description

Overview
Software Engineering Intern (ILS Team)
Do you enjoy building software in a collaborative, fast-paced environment? Are you excited about solving ambitious technical challenges and creating impactful solutions?
We're looking for Junior and Senior Computer Science students to join our ILS engineering team as Software Engineering Interns.
Location: Hybrid - 2 days onsite at our headquarters in Fairfax, VA
In this role, you'll:
  • Collaborate with experienced engineers on real-world software projects
  • Contribute to the design, development, and testing of innovative solutions
  • Work with modern tools and technologies in a supportive team environment
What we're looking for:
  • Currently pursuing a BS in Computer Science (or related field)
  • Hands-on experience with one or more: Python, C++, Java, or MATLAB
  • Strong problem-solving skills and a willingness to learn
  • Ability to work well in a team setting
Why join us?
  • Work on meaningful, technically challenging projects
  • Learn from a team passionate about engineering excellence
  • Gain real-world experience in a collaborative and innovative environment
As a member of our team you will...
  • Build next-generation solutions to help tackle complex issues.
  • Engage in end-to-end software engineering processes.
  • Be part of high-caliber teams of engineers focused on designing, creating, and fine-tuning simulation platforms that assess and validate the latest algorithms and systems for autonomy.
  • Contribute to multidisciplinary teams, and actively participate in software design evaluations, code reviews, and test strategy planning.
Specifically, we are seeking an Intern that has been focused in the following areas of study and hands-on demonstrated experience to assist the ILS team:
  • Computer Science / Information Technology
  • Artificial Intelligence (AI)
  • Data Science
  • Data Analysis
  • Natural Language Processing
  • Automation Testing (i.e. Selenium)
Responsibilities
You meet our minimum qualifications for the job if you...
  • Are working towards a Bachelor of Science in Computer Science, Computer Engineering, or a related technical field.
  • Have classroom experience in or knowledge of software design patterns in either C++, Python, Java, or MATLAB.
  • Have a minimum 3.0 GPA on a 4.0 Scale. Note: When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).
  • Have pursued technical projects and extracurricular activities outside of the classroom. Specifically, AI project experience.
Qualifications
You'll go above and beyond our minimum requirements if you...
  • Possess classroom or related experience in working closely with autonomous systems and machine learning algorithms.
  • Have classroom or professional experience in developing with middleware or containerization software tools, such as Data Distribution Service, ZeroMQ, Docker, or Kubernetes.
  • Hold classroom experience in data science and statistical analysis.
  • Have experience in a modern software development environment, such as Agile or Kanban, that includes automated testing (Selenium), continuous integration and deployment, and DevSecOps protocols.

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