GenBio AI is building the Virtual Cell World Model - a persistent, multimodal AI system that predicts, simulates, and ultimately programs cellular behavior. Rather than producing isolated predictions, the Virtual Cell enables scientists to query cellular states, perform virtual perturbations, and design new biological interventions within a unified computational world. Together with AIDO Foundry, our AI-native engineering framework for automating Virtual Cell development, we are building the software infrastructure for the next generation of AI-driven drug discovery.
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.
Skills Required
- Typically 8+ years of extensive industry experience operating at Staff or Principal level
- Track record building production web services, scalable APIs, and complex distributed backend systems
- Mastery of software engineering fundamentals, clean architecture, modular system design, and maintainable performant code
- Hands-on experience integrating large-scale AI, LLM, or machine learning inference systems into highly available production environments
- Ability to solve ambiguous systems problems from concept through scalable execution
- Strong cross-functional communication and technical leadership skills
- Domain knowledge or experience in computational biology, genomics, transcriptomics, protein or molecular structures, healthcare, or scientific software
- Experience building scientific simulation tools, automated laboratory experiment management, or complex workflow orchestration
- Experience building unified computational frameworks for AI-native platforms
What We Do
GenBio.AI, Inc. (GenBio AI) is an innovative global startup dedicated to developing the world's first AI-driven Digital Organism, an integrated system of multiscale foundation models for predicting, simulating, and programming biology at all levels. Our goal is to achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases. This will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology. Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions such as CMU, MBZUAI, WIS, alongside prominent financial investors. GenBio AI, a true global effort from day one, is establishing offices in Palo Alto, Paris, and Abu Dhabi.
