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Developmental Systems Lead (Fluidics​/Perfusion

Job in San Francisco, San Francisco County, California, 94102, USA
Listing for: Becoming
Full Time position
Listed on 2026-08-05
Job specializations:
  • Engineering
    Systems Engineer, Research Scientist
Job Description & How to Apply Below
Position: Developmental Systems Lead (Fluidics/Perfusion)

Developmental Systems Lead

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.

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.

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, 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

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

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