GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.
This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.
Responsibilities:
Collaborate with a small, fast-moving team to build and scale the full-stack applications that interface directly with our proprietary models.
Take end-to-end ownership of software projects, with a strong emphasis on developing seamless, interactive frontend user interfaces while also architecting the backend services to support them.
Design and deploy scalable backend systems, including setting up robust RESTful APIs, connecting relational or NoSQL databases, and managing end-to-end CRUD operations.
Implement core observability practices such as structured logging, distributed tracing, and system metrics to ensure all applications are performant, reliable, and easy to debug.
Work closely with AI/machine learning researchers and computational biologists to integrate GenBio AI’s state-of-the-art foundation models into functional, user-facing web platforms.
Act as a proactive self-starter, independently pushing projects forward from conception to deployment to drive our engineering agenda and generate real-world impact.
Qualifications
Currently enrolled in a full-time Master's or Ph.D program in Computer Science, Software Engineering, or a related technical field.
Possess exceptional software engineering fundamentals, demonstrating a deep understanding of data structures, algorithms, and modular system design.
A strong coder with excellent skills in modern frontend development, specifically fluent in React and TypeScript for building responsive, state-driven user interfaces.
Have solid hands-on experience designing backend architectures, particularly utilizing FastAPI (or similar frameworks) to build scalable Python-based backend services.
Demonstrate a highly adaptable, self-starter mentality with the ability to work independently, manage ambiguity, and thrive in a fast-paced, highly collaborative start-up environment.
Derive a great deal of satisfaction from building reliable full-stack software, debugging complex issues across the stack, and continuously improving the end-user experience.
Nice to Have:
Hands-on experience with containerization and orchestration platforms, specifically Kubernetes, for deploying scalable microservices.
Familiar with instrumenting applications for observability, including practical knowledge of how to properly implement logging, metrics collection, and tracing in a production-like environment.
Familiarity with advanced observability, telemetry, and monitoring tooling such as OpenTelemetry, Grafana and Prometheus.
A demonstrated passion for software development evidenced by active open-source contributions, robust personal side projects, or previous impactful software engineering internships.
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
GenBio AI Palo Alto, California, USA Office
Palo Alto, CA, United States, 94301
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