We are seeking an experienced Staff to Principal-level Software Engineer to build the user-facing platform that brings these capabilities to computational biologists, experimental scientists, and pharmaceutical researchers. This is a senior individual contributor role for engineers who enjoy solving challenging systems problems while working closely with AI researchers and product teams.
Responsibilities- Act as a senior technical leader to build the software platform for programmable biology, developing production-grade backend services and APIs for our Virtual Cell products.
- Design clean, robust interfaces that seamlessly connect frontend applications, core business logic, massive biological databases, and state-of-the-art AI inference engines.
- Architect and develop highly scalable systems for complex biological simulations, experiment management, workflow orchestration, and the processing of multimodal biological data.
- Drive continuous improvements in platform performance and reliability through highly efficient architecture design, strategic caching, asynchronous execution, and optimized distributed infrastructure.
- Collaborate closely with AI researchers to translate cutting-edge foundation models into reliable, user-facing scientific products that enable virtual perturbations and hypothesis generation.
- Work cross-functionally across frontend, backend, infrastructure, and machine learning teams to deliver deeply intuitive computational experiences for biologists, experimental scientists, and pharmaceutical researchers.
Qualifications:- Extensive industry experience (typically 8+ years) operating at a Staff or Principal level, with a proven track record of building production web services, scalable APIs, and complex distributed backend systems.
- Exceptional software engineering fundamentals, demonstrating a mastery of clean architecture, modular system design, and the ability to write highly maintainable, performant code.
- Deep, hands-on experience integrating large-scale AI, LLMs, or machine learning inference systems into highly available production environments.
- Proven ability to solve challenging, ambiguous systems problems from the ground up, moving from concept to scalable execution.
- Outstanding cross-functional communication and leadership skills, with the ability to bridge the gap between deeply technical engineering teams, AI researchers, and scientific product teams.
Preferred Qualifications:- Domain knowledge or prior experience working with computational biology, genomics, transcriptomics, protein/molecular structures, healthcare, or scientific software.
- Familiarity with building tools for scientific simulation, automated laboratory experiment management, or complex workflow orchestration.
- Experience building unified computational frameworks (similar to our AIDO Foundry) that accelerate the development and deployment of AI-native platforms.
$250,000 - $350,000 a year
Join us as we embark on this journey to redefine the future of biology and medicine.
