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.
The Role
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.
What You’ll Own
Design and execution of long-horizon developmental systems derived from stem and primary cells
Day-to-day ownership of biological performance: stability, progression, and reproducibility
Development of benchmarks and readouts for developmental state, patterning, and functional maturation
Execution of contextual perturbations (signaling, nutrients, mechanics, metabolic conditions) and interpretation of outcomes
Generation of clean, interpretable datasets suitable for modeling and decision-making
Iteration on protocols and systems to improve robustness, scalability, and reliability
Clear, direct communication of results, failures, and next steps across disciplines
Who You Are
You are someone who:
Operates with high agency — you take initiative and don’t wait to be told what to do
Takes ownership of outcomes, not just experiments
Brings high energy and momentum to ambitious scientific problems
Acts with high integrity — you are honest about data, limitations, and uncertainty
Communicates directly and clearly, especially when things aren’t working
Is self-aware and receptive to sharing and receiving feedback
Thinks like a systems integrator, connecting biology, environment, hardware, and data
Thrives in fast-moving tech environments where priorities evolve quickly
Required
PhD (or equivalent experience) in developmental biology, stem cell biology, or a related field
At least 1 year of industry experience in tech, biotech, pharma, or a startup, with exposure to real-world timelines, cross-functional collaboration, and delivery expectations
Strong hands-on experience with stem cell–derived early developmental systems and/or mammalian developmental processes
Solid intuition for temporal dynamics and context-dependent biology
Demonstrated ability to take loosely defined goals and turn them into executed, decision-relevant experiments
Comfort making progress with incomplete information and iterating quickly
Strong Signals
Experience with mouse developmental systems, lineage progression, or early tissue organization
Prior work building or scaling new experimental systems, not just running established assays
Exposure to long-term cultures, perfusion, or engineered microenvironments
Interest in how biological data feeds into predictive or computational models
Competitive salary and meaningful equity
Full benefits
High-trust, high-ownership environment
The opportunity to define a new scientific category from the ground up
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