Modern life sciences don’t just rely on lab equipment — they run on code. As biology becomes increasingly data-driven, purpose-built software platforms are playing a critical role in everything from early-stage research to clinical decision-making.
This panel brings together engineers and technical leaders building scientific applications at scale. We’ll explore the unique challenges and opportunities in developing software for complex biological systems, and how to balance usability, scientific rigor, and scalability. Topics include:
Designing architectures that handle messy, high-dimensional biological data
UI/UX strategies that make complex tools intuitive for scientists and clinicians
Structuring data models for both biological accuracy and computational efficiency
Best practices for deploying and validating software in regulated environments
Collaborating across disciplines to keep science and software in sync
Whether you're building internal tools for researchers, launching a computational biology startup, or modernizing clinical workflows, this session will help you level up your technical strategy in life sciences.
This session is part of Startup Boston Week 2025 and is ideal for software engineers, data scientists, and technical leaders building platforms at the intersection of biology and technology.
