Position Summary
The Software Development Internship places students at the intersection of science and technology. Interns work with RJ Lee Group's software team to build, test, and maintain applications that directly support scientific research workflows and client deliverables. This is a hands-on role contributing to real production software in a technical scientific environment — and interns are encouraged to leverage modern AI-assisted development tools as part of their day-to-day workflow.
Key Responsibilities
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Assist in designing, developing, and testing software features for internal and client-facing applications
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Write clean, documented code and participate in code reviews with senior developers
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Use AI-assisted coding tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate development and improve code quality
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Help troubleshoot and resolve bugs in existing applications, using AI tools to assist in root cause analysis and solution generation
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Collaborate with scientists and technical staff to understand requirements and translate them into functional solutions
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Support documentation efforts, including using AI tools to help generate and maintain technical documentation
Qualifications
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Currently pursuing a degree in Computer Science, Software Engineering, or a related field (at least 2 years completed)
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Proficiency in one or more programming languages (Python, JavaScript, C#, or similar)
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Familiarity with version control systems (e.g., Git)
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Exposure to or curiosity about AI-assisted development tools and workflows
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Strong problem-solving skills and ability to work collaboratively in a team environment
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Experience with databases or web development frameworks is a plus
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Must be able to work onsite or in a hybrid capacity during the internship period
Core Competencies
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Attention to Detail
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Confidentiality & Integrity
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Organization & Time Management
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Communication & Professionalism
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Adaptability & Change Management
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Data Accuracy & Compliance
Internship Duration
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Start Date: May or June
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End Date: End of summer (flexible based on academic schedules)
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Full-time or part-time schedule options depending on department needs
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