Princeton BiopartnersRemote
Part-Time AI Software Engineering Intern US (Full Stack) – Healthcare
United States of America
Internship
1 week ago
No H1B
Key skills
ReactCSSNode.jsAngularPythonJavaC++Data structuresAlgorithmsGitHub workflowsCI/CDAzureMachine learningData engineeringData visualizationProactive initiativeCAIMachine LearningData EngineeringGitHubCommunication
About this role
Princeton Biopartners is a strategy consulting firm focused on the life sciences sector, partnering with Fortune 500 biopharmaceutical companies. They are seeking a part-time Software Engineering Intern (Full Stack) to assist in developing digital solutions that enhance their consulting work and provide exposure to the biopharma business side.
Responsibilities:
- Contribute to the design and development of web and data-driven applications
- Write clean, testable, and efficient code using modern web technologies
- Support data visualization and reporting tools for client projects
- Help deploy and integrate software solutions into consulting deliverables
- Maintain clear, well-structured documentation
Requirements:
- US-based (mandatory, remote role)
- STEM background: pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or related field (top competitive programs preferred, such as the Ivy League, Stanford, MIT, Caltech, or other leading engineering schools)
- Independent & proactive: able to take initiative, act autonomously, and deliver with limited supervision
- Technical curiosity: passion for building software that solves real-world problems
- Structured thinker: strong problem-solving and communication skills
- Product-minded: interested in user experience and pragmatic solutions
- Hands-on coder: capable of delivering clean, working code efficiently, leveraging AI where appropriate to maximize speed and output
- Familiarity with modern web technologies (React, CSS, Node, Angular, etc.)
- Proficiency in at least one general-purpose programming language (Python preferred; Java, C++, etc. also considered)
- Understanding of core computer science principles (data structures, algorithms, complexity)
- Exposure to DevOps practices (e.g., GitHub workflows, CI/CD)
- Desirable: experience with Azure or healthcare-related data projects
- Bonus: interest in machine learning, data engineering, or visualization