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Becoming

AI-guided closed-loop mammalian development systems

Developmental & Stem Cell Biology

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A 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, including 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 turn loosely defined goals into executed, decision-relevant experiments.
  • Comfort making progress with incomplete information and iterating quickly.

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 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 across disciplines.

Desired Qualifications

  • Experience with mouse developmental systems, lineage progression, or early tissue organization.
  • Prior work 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.

About the Company

Becoming

AI-guided closed-loop mammalian development systems

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
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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