Software Engineer, Life Sciences

Job Description

Design and build backend services, APIs, integrations, and intuitive interfaces that connect scientists with AI models, scientific tools, and laboratory services. Own products from problem definition and technical design through launch and operation, collaborating with scientific, research, and infrastructure partners to improve workflows and ensure performance, reliability, and scalability.

Requirements: The role calls for strong software engineering fundamentals, deep backend expertise, full-stack capability, and experience shipping and operating products for large user bases. Candidates should demonstrate product judgment, autonomy, ownership, and effective collaboration, with enthusiasm for AI and the ability to learn scientific domains; life sciences experience is helpful but not required.

Key Skills: Backend Development, Full-Stack Engineering, Software Engineering, Product Development, Backend Services, API Design, Systems Design, AI Applications, Model-Serving Integrations, Inference Platforms, User Interface Development, Product Judgment, Project Ownership, Performance Optimization, Reliability Engineering, Scalability