Teams at Cellanome

Leads manufacturing process transfer, validation, scale-up, sustaining engineering, and continuous improvement for life science consumables. Responsibilities include troubleshooting, root cause analysis, CAPA, process monitoring, Lean/Six Sigma implementation, NPI support, documentation, equipment onboarding, and operational readiness. The role partners cross-functionally with product development and operations while supporting cleanroom manufacturing, process qualification, yield improvement, capacity expansion, and production launch.

Develop and optimize machine learning, computer vision, signal-processing, and image-analysis algorithms for workflow automation and biological technologies. Integrate algorithms with hardware and software systems, optimize deployment on edge devices and GPUs, validate performance, and document results. The role requires strong Python development, mathematical and algorithmic expertise, and collaboration across multidisciplinary engineering teams.

Leads systems engineering for a scientific instrument platform, owning system architecture, technical budgets, requirements, verification and validation, risk management, reliability, controls, and design transfer to manufacturing. Builds and manages the systems engineering function, guides product roadmaps, oversees suppliers and contract manufacturers, drives cost reduction and quality improvements, and ensures platform performance across hardware, consumables, assays, software, and analysis.