About the Role
We are seeking a highly motivated Software Development Intern with a strong interest in No-Code/Low-Code development and AI technologies. This is an exciting opportunity for students in their senior year of undergraduate studies or enrolled in a master’s program to gain hands-on experience in modern application development and to learn about the life sciences area.
Requirements
Key Responsibilities
Develop and prototype applications using no-code/low-code platforms (e.g., Bubble, Duda, etc.).
Work with AI-powered tools and integrations to enhance software capabilities.
Collaborate with developers, designers, and product teams to build functional and user-friendly applications.
Assist in database design and management (Supabase/Xano) for application backends.
Implement API integrations for seamless data exchange between systems.
Test, debug, and optimize applications for performance and usability.
Explore automation and AI-driven workflows (e.g., OpenAI, Zapier).
Qualifications & Skills
Currently pursuing a Bachelor’s (Senior) or master’s degree in computer science, Software Engineering, Information Systems, or a related field.
Interest or experience in no-code/low-code platforms and AI-driven development.
Familiarity with databases and API integrations.
Basic understanding of AI/ML concepts and tools like OpenAI is a plus.
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication and teamwork skills
Preferred Qualifications
Experience with cloud services (AWS, Google Cloud, Azure).
Hands-on experience with automation tools (OpenAI).
Familiarity with AI-enhanced development environments (e.g., OpenAI, GitHub).
Passion for exploring new technologies in software development
Why Join Us?
Develop hands-on experience in cutting-edge no-code development
Work in a collaborative environment. Daily free breakfast and afternoon snacks.
Potential opportunity to transition into a full-time role based on performance and availability.
Competitive stipend and potential academic credit eligibility.