Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) need to accelerate R&D by leveraging data and novel computational models. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) aims to harness the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering more innovative and transformative medicines.
Requirements
- 3+ years building and operating complex, full‑stack applications (you’ve owned systems in production).
- Proven front‑end expertise with modern frameworks (e.g., React, Angular) and a track record of delivering intuitive, user‑centered interfaces.
- Proficiency with Python and SQL; comfortable designing data models and pipelines.
- Strong system design skills: domain modeling, event‑driven architecture, concurrency/failure modes, performance profiling.
- Familiarity with ML concepts or frameworks (e.g., PyTorch), model serving, evaluation, and versioning.
Responsibilities
- Shape the strategic roadmap for Lab‑in‑the‑Loop, influencing its features and technical architecture.
- Build and enhance our full-stack platform, crafting intuitive front-end applications and engineering the reliable backend services that orchestrate the entire discovery cycle.
- Partner directly with ML scientists and experimentalists, translating complex scientific workflows into elegant and effective product features.
- Build the critical integrations that close the loop with the wet lab, connecting our platform with robotics, assay pipelines, and instrumentation data.
- Engineer the systems that bring our AI to life by integrating novel generative models and building the infrastructure for their evaluation and deployment.
Other
- Curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts.
- Relocation benefits are available for this job posting.
