Internship: GenAI-Assisted Software Modernization
Key Skills
Job Description
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
Help us use generative AI to understand and modernize a life sciences application.
How can AI help engineers understand an established software application and build its next generation? In this internship, you’ll explore that question through a practical software engineering project.
You’ll investigate an existing life sciences application, organize knowledge about how it works, and use that knowledge to help AI agents support software modernization. You’ll then apply your approach to a focused feature and contribute to a working proof of concept.
The project
You’ll explore how to bring together information from source code, documentation, tests, and other engineering materials. Using techniques such as static analysis, knowledge graphs, retrieval-augmented generation (RAG), and generative AI, you’ll help create a structured view of the application and its behavior.
You’ll use this knowledge to help AI agents answer questions, identify the impact of changes, and support development. To demonstrate the approach, you’ll help modernize a session setup feature, following it from the user interface through configuration, application logic, validation, and data storage.
Your profile
You are a bachelor’s graduate, a master’s student, or a master’s graduate in computer science, software engineering, artificial intelligence, or a related field.
You have:
- A solid foundation in programming and software engineering; experience with C# is a plus.
- An understanding of software architecture and object-oriented design.
- Familiarity with version control, debugging, and testing.
- An interest in generative AI and its use in software development.
- Curiosity and problem-solving skills to explore an unfamiliar codebase.
- Good communication skills and the ability to work both independently and with others.
What you’ll gain
You’ll gain hands-on experience applying AI to a real software engineering challenge. You’ll learn how to investigate a complex life sciences application and contribute to a proof of concept for modernizing it.
Appy today!
Core Responsibilities
You will investigate an existing life sciences application and use generative AI to help modernize its features. This involves creating a structured view of the application and contributing to a working proof of concept.
Requirements
Candidates should be a bachelor's or master's student or graduate in computer science, software engineering, or a related field. You must have a solid foundation in programming, software architecture, and an interest in generative AI.
About Thermo Fisher Scientific
Industry: Biotechnology Research
Company size: 10,001+ employees
About Thermo Fisher Scientific Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com.