Teams at Cellanome

Design, develop, and deploy AWS cloud platforms and software systems for computational biology workflows. Lead adoption of AI coding agents by establishing development workflows, guardrails, and review standards. Build TypeScript APIs, optimize data pipelines and cloud infrastructure, ensure security and reliability, troubleshoot systems, and guide architecture and code reviews. Collaborate with computational biology, R&D, product, regulatory, and marketing teams to deliver scalable solutions.

Executes end-to-end cell biology and molecular biology workflows on the Cellanome R3200 platform, including cell processing, multi-day assays, automated library preparation, sequencing-ready library QC, SOP compliance, real-time LIMS documentation, troubleshooting, process onboarding, and laboratory safety. The role requires regular weekend coverage and occasional physical handling of laboratory materials.

Integrates biological protocols with prototype instrumentation, troubleshooting hardware, software, consumables, workflows, and assays. Designs hardware experiments, transfers molecular and cell biology protocols, gathers engineering requirements, and develops automation, data-analysis, instrument-control, and AI-assisted tooling. Collaborates with engineering and scientific teams to detect drift, classify failures, and optimize workflows. Requires hands-on instrumentation development, wet-lab familiarity, Python scripting, data analysis, and AI tool experience. Travel up to 20%.