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Scientist I, Synthetic Biology

Allen Institute

Seattle, WAOnsitePosted 6 days ago$87,450 - $108,250/year
Full TimeEntry LevelResearch & ScientistResearch Institute
Original posting ↗

Summary

The Cell Science team at the Allen Institute is recruiting a Scientist in Developmental Morphogenesis to contribute to their mission: to make multicellular behavior predictable and programmable. The team draws from strengths in stem cell engineering, high-content imaging, image quantification, and data-driven machine learning to advance understanding of cell states during morphogenesis.

Job description

Responsibilities

  • Identify, develop, and pursue ambitious questions and synthetic biological tools to enable robust programming of multicellular behavior
  • Scientifically supervise scientists and subject matter experts as appropriate for specific projects
  • Foster a culture of learning and knowledge sharing within the team and within the Institute

Required Education and Experience

  • PhD degree in biological science (e.g., cell biology, developmental biology, biophysics, bioengineering), physical science, or related science, engineering or related field
  • Established as an expert in synthetic biology with publications in peer-reviewed journals

Preferred Education and Experience

  • No more than three years of direct experience after award of PhD
  • Experience with 3D, live fluorescent imaging modalities
  • Experience working in 3D stem cell models
  • Experience with library-based screening
  • Experience in DNA/RNA design
  • Experience in protein design
  • Interest and experience with developmental engineering, or synthetic development
  • Experience in image analysis
  • Experience working in dynamic, fast-paced research environments with a start-up and growth mindset
  • Strong collaboration skills, including working with program managers and diverse subject matter experts
  • Excellent organizational, written, and verbal communication skills
  • Strong interpersonal skills for cross-team coordination

Requirements

  • PhD degree in biological science, physical science, or related science/engineering field
  • Established as an expert in synthetic biology with publications in peer-reviewed journals
  • No more than three years of direct experience after award of PhD
  • Experience with 3D, live fluorescent imaging modalities
  • Experience working in 3D stem cell models
  • Experience with library-based screening
  • Experience in DNA/RNA design
  • Experience in protein design
  • Interest and experience with developmental engineering or synthetic development
  • Experience in image analysis
  • Strong collaboration skills
  • Excellent organizational, written, and verbal communication skills
  • Strong interpersonal skills for cross-team coordination

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Basic Life Insurance
  • 401(k)
  • Paid Time Off

Company overview

The Allen Institute is a premier non-profit research organization founded in 2003 by philanthropist Paul G. Allen, co-founder of Microsoft. Headquartered in Seattle, Washington, the institute is dedicated to answering fundamental questions in biology and accelerating scientific discovery through large-scale, collaborative research projects. The organization operates several major research divisions including the Allen Institute for Brain Science, Allen Institute for Cell Science, and Allen Institute for Immunology. The Allen Institute is renowned for creating comprehensive, open-access data resources and tools for the global scientific community, such as the Allen Brain Atlas, which provides detailed maps of gene expression in the mouse and human brain. Their research approach combines experimental biology with computational analysis and data science to generate transformative insights into complex biological systems. The institute's work has significantly advanced understanding of brain function, cellular biology, and immune system dynamics, making it a leading force in modern biomedical research with a strong commitment to open science and data sharing.

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