Stem Cell Systems Technician
Becoming
Stem Cell Systems Technician
Becoming
AI-guided closed-loop mammalian development systems
Becoming · San Francisco, United States · Full-time · Posted 2026-11-05
Workplace: on_site
Becoming is building Developmental Intelligence: AI for predicting how organisms change over time.
Development is intelligence in motion. Most experimental systems fail when metabolic demands become too high. We are building systems that don’t — combining engineered metabolic environments, longitudinal measurement, and predictive models to turn development into something that can be understood, tested, and controlled.
This is frontier tech with real stakes. We value speed, rigor, integrity, and ownership.
We are hiring a Stem Cell Systems Technician to run and stabilize the biological systems at the core of our platform.
This is not a generic technician role. You will be responsible for executing, standardizing, and scaling stem cell workflows into reliable systems.
You will:
You will work closely with developmental biologists, engineers, and AI teams to ensure experiments are robust, reproducible, and integrated into closed-loop platforms.
Stem Cell Systems Execution
Maintain and expand human stem cell cultures (iPSC, ESC, and derivatives)
Run long-horizon experiments requiring tight consistency over time
SOP Ownership & Systemization
Write, maintain, and version-control standard operating procedures (SOPs)
Train team members on SOP-compliant workflows
Data & Experimental Rigor
Maintain structured, high-quality experimental records and logs
Support sample collection for downstream assays (omics, imaging, histology)
Platform Integration
Assist with integrating biological systems into perfusion / closed-loop platforms
Work with engineering teams to ensure biological requirements are met in hardware systems
Lab Operations
You are someone who:
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Becoming.ai builds robotic systems with closed-loop metabolic control to sustain mammalian development outside the body, paired with AI models that learn how development unfolds under different interventions. Its core hardware delivers nutrients, removes waste, and controls gas exchange in real time, creating a controllable environment for long-running developmental data. The AI analyzes this data to predict developmental trajectories and identify interventions that shift outcomes, enabling virtual organism models. The company differentiates itself by combining hardware-enabled metabolic exchange with dynamical AI models to generate and study controlled developmental data over extended periods, rather than just analyzing static biological samples. Its goal is to enable long-term, predictable developmental studies that can inform regenerative medicine, drug discovery, and fundamental developmental biology.
Explore more opportunities at Becoming