Developmental & Stem Cell Biology
Becoming
Developmental & Stem Cell Biology
Becoming
AI-guided closed-loop mammalian development systems
Becoming · San Francisco, United States · Full-time · Posted 2026-01-06
Salary: USD 110,000–160,000
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 Developmental & Stem Cell Biology to own and scale critical biological systems within Becoming’s platform.
This is a high-agency, industry-caliber role. You will not be handed a task list. You will be expected to identify problems, propose solutions, and drive experiments from idea to impact. You will build and operate long-horizon developmental systems from stem and primary cells, integrate them with engineered environments, and generate data that directly informs platform decisions.
You will work closely with scientists, engineers, and AI researchers, with increasing ownership as the platform scales.
You are someone who:
Required
Strong Signals
Powered by Workable
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