Full-Time

Developmental & Stem Cell Biology

Becoming

Becoming

11-50 employees

AI-guided closed-loop mammalian development systems

No salary listed

San Francisco, CA, USA

In Person

PhD

Category
Biology & Biotech (1)

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Requirements
  • A PhD or equivalent experience in developmental biology, stem cell biology, or a related field is required.
  • At least 1 year of industry experience in technology, biotechnology, pharmaceuticals, or a startup is required, 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 is required.
  • Solid intuition for temporal dynamics and context-dependent biology is required.
  • Demonstrated ability to take loosely defined goals and turn them into executed, decision-relevant experiments is required.
  • Ability to make progress with incomplete information and iterate quickly is required.
Responsibilities
  • Design and execute long-horizon developmental systems derived from stem and primary cells.
  • Own day-to-day biological performance, including stability, progression, and reproducibility.
  • Develop benchmarks and readouts for developmental state, patterning, and functional maturation.
  • Execute contextual perturbations involving signaling, nutrients, mechanics, and metabolic conditions, and interpret the outcomes.
  • Generate clean, interpretable datasets suitable for modeling and decision-making.
  • Iterate on protocols and systems to improve robustness, scalability, and reliability.
  • Communicate results, failures, and next steps clearly and directly across disciplines.
  • Work closely with scientists, engineers, and artificial intelligence researchers, with increasing ownership as the platform scales.
Desired Qualifications
  • Experience with mouse developmental systems, lineage progression, or early tissue organization.
  • Prior experience building or scaling new experimental systems rather than only running established assays.
  • Exposure to long-term cultures, perfusion, or engineered microenvironments.
  • Interest in how biological data feeds into predictive or computational models.

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.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • February 2026 EF coverage and August 2026 job posts show active technical hiring.
  • Becoming is recruiting applied AI, robotics, and dynamical-systems talent, signaling platform expansion.
  • Its 2026 story fits pharma demand for longer-horizon developmental data and intervention testing.

What critics are saying

  • Development depends on unproven lab-grown placenta hardware; Core Memory said no literature precedent in March 2026.
  • Colossal and Nexaborn are entering artificial-womb territory, compressing Becoming’s technical lead.
  • Ethical and regulatory scrutiny around mammalian development outside bodies can trigger shutdowns within 12 months.

What makes Becoming unique

  • Becoming’s 2026 white paper pairs ex utero mammalian development with predictive AI models.
  • Its closed-loop robotic metabolic exchange regulates nutrients, waste, and gas exchange in real time.
  • EF reported Becoming grew a mouse embryo with a beating heart and lab-grown placenta.

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Benefits

Company Equity

Growth & Insights

Headcount

6 month growth

-21%

1 year growth

-21%

2 year growth

-21%