Jobs 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%.

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.

Own end-to-end people operations, including onboarding, offboarding, leave administration, benefits, payroll support, and multi-state compliance. Manage Foster City workplace operations, vendors, events, and cross-site engagement. Coordinate recruiting logistics, offers, and pre-boarding while improving HR processes through automation. Partner with Finance, Legal, managers, and employees to deliver accurate, efficient, and responsive people services in a rapidly scaling startup.

Lead and grow the AI/ML team to design, train, and productize deep learning models for biological imaging and integrate imaging with transcriptomic data. Build ML infrastructure, identify opportunities, hire and mentor staff, and collaborate with R&D, software, and product teams.

Cellanome is looking for passionate individuals to join their start-up team aimed at tackling significant challenges in biology. They offer diverse roles, emphasizing collaboration, innovative spirit, and career growth opportunities.

Lead segment-level market development for a biotech platform: craft market theses, produce scientific content, build KOL relationships, enable sales, synthesize market intelligence, and iterate GTM strategies to drive adoption of same-cell, longitudinal multimodal measurement.