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Open nowPosted 270 days ago

Developmental & Stem Cell Biology

Workable (global search)108,016 open roles

Where
San Francisco, CA, United States
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Your applicationOpen nowDevelopmental & Stem Cell BiologyWorkable (global search) · San Francisco, CA, United States

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 270 days ago

Workable (global search) median: 7 days open

The posting

About Becoming

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

Requirements

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

Benefits

  • Competitive salary and meaningful equity depending on experience level
  • Full benefits
  • High-trust, high-ownership environment
  • The opportunity to define a new scientific category from the ground up
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