Software Engineer, Data Science

Wave Life Sciences is a biotechnology company focused on developing RNA medicines to transform human health. The company is seeking a full stack software engineer to build, modernize, and scale internal applications and services supporting scientific and operational workflows, including backend APIs, frontend interfaces, workflow automation, and data-driven applications.

Responsibilities:

• Design and build backend services and APIs that are reliable, well-tested, and built to last
• Build and maintain user-facing interfaces using React or modern frontend frameworks
• Own features end-to-end — from API design to UI implementation
• Shape technical direction by contributing to architecture discussions and design decisions
• Elevate engineering quality through thoughtful code reviews and by championing best practices

Requirements:

• Bachelor's with 8 years of related experience, Master's with 6 years of related experience
• Experience building full stack applications — both backend APIs and frontend UIs in a production environment
• Hands-on experience with Python and at least one backend web framework (Flask, FastAPI, or similar)
• Proficiency with React or a modern frontend framework
• Strong foundation in software engineering best practices — testing, clean code, and maintainability
• A track record of reviewing production code and providing constructive, actionable feedback
• Familiarity with relational databases and data modeling
• Comfort with version control, automated testing, and CI/CD workflows
• Strong communication skills, a collaborative mindset, and the ability to navigate ambiguity
• Full stack ownership — taking a feature from API design to UI polish
• Engineering judgment — making thoughtful trade-offs between speed, quality, and complexity
• Readable, maintainable code — writing for the next developer, not just the current sprint
• Pragmatic problem-solving — finding the right solution, not just the clever one
• Ownership and accountability — following through from design to deployment
• Continuous improvement — always looking for ways to make the codebase better
• Clear communication — explaining ideas, decisions, and trade-offs with clarity
• Experience designing scalable systems using microservices architecture preferred
• Experience with microfrontend architecture preferred
• Experience working with distributed or offshore engineering teams preferred
• Familiarity with modern frontend frameworks preferred
• Experience modernizing legacy systems or workflows preferred
• Background in scientific, analytical, or data-driven environments preferred