Princeton Biopartners is looking for a Software Engineering Intern to support the development of digital solutions that complement their consulting work in the life sciences sector, aiming to improve the evidence base, accessibility, and impact of biomedical innovations.
Requirements
- 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
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
Other
- US-based (mandatory, remote role)
- STEM background: pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or related field
- 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
- Minimum expectation is 5 hours per week
- Minimum duration of two months
