Developmental Systems Lead (Fluidics/Perfusion)

Becoming
San Francisco, CA

About Becoming

Becoming is building Developmental Intelligence: AI for predicting how organisms change over time.

Most experimental systems fail when metabolic demands become too high. We are building systems that don’t — enabling sustained, controllable biological processes over long time horizons so that development, adaptation, and failure can be observed, perturbed, and predicted.

Physiology is central to this effort. Without stable, well-characterized physiological function, long-horizon prediction is impossible.

The Role

We are hiring a Developmental Systems Lead to own making externally sustained developmental systems run stably, repeatably, and predictably over days to weeks.

This role is for someone who thinks in systems, not endpoints — someone who understands how transport, metabolism, signaling, mechanics, and homeostasis interact over time. You will lead the design and operation of systems that integrate perfusion, physiology, sensing, actuation, and closed-loop control to sustain and perturb development in ways that generate meaningful, causal data.

This is a high-agency role. You will be expected to define measurements, interpret dynamics, and drive improvements in system-level function.

What You’ll Own

  • End-to-end responsibility for externally sustained developmental systems operating over days to weeks
  • Definition of what “success” means beyond “alive,” including how stability, drift, and failure are measured over time
  • Identification, characterization, and mitigation of long-horizon failure modes (e.g., drift, inflammation, hemolysis, interface breakdown)
  • Design and refinement of closed-loop control strategies for complex biological systems
  • Integration of perfusion hardware, sensors, and control software into durable platforms
  • Decisions about when systems are sufficiently stable to perturb, compare, and learn from
  • Close collaboration with developmental biology, hardware, and ML / modeling teams
  • Building systems that improve with iteration, not systems that require constant manual expert intervention

Who You Are

You are someone who:

  • Operates with high agency — you identify what needs to be measured and why
  • Takes ownership of outcomes, not just data collection
  • Brings high energy to complex, dynamic biological systems
  • Acts with high integrity — you are honest about uncertainty, limits, and tradeoffs
  • Communicates directly and clearly, especially when systems are not behaving as expected
  • Is self-aware about your strengths and gaps, proactively fills them and open to feedback
  • Thinks like a systems integrator, not a siloed specialist

Is comfortable working where physiology, engineering, and modeling intersect

Requirements

Required

  • Deep, hands-on experience with long-running biological or physiological systems (days+, not hours)
  • PhD or equivalent experience in physiology, engineering, or a related field
  • Experience with several of the following:
    • Perfusion systems involving blood or blood analogs
    • Hemodynamics, flow, pressure, and shear — and their biological consequences
    • Inflammation, coagulation, hemolysis, or endothelial failure in sustained systems
    • Closed-loop control of noisy, drifting systems
    • Real-time instrumentation and sensing in biological environments
    • Diagnosing failure modes that emerge gradually, not catastrophically
  • Ability to work fluently with developmental biologists and/or physiologists
  • At least 1 year of industry or applied systems experience

Strong Signals

  • Background in perfusion, ECMO, organ support, or normothermic preservation
  • Physiology-driven systems engineering experience
  • Experience with complex robotics or control systems operating in irreversible environments
  • History of systems that failed — and improved because of it

Benefits

  • Competitive salary and meaningful equity
  • Full benefits
  • High-trust, high-ownership environment
  • Rapid growth in scope and responsibility
Posted 2026-01-15

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