Optical Engineer, Advanced Light Sheet Microscopy

About the role

An overarching goal of the Biohub is to elucidate the complex collective dynamics of self-organizing cellular systems across scales in health and disease. To this end, we design, build, and use state-of-the-art light-sheet microscopes to visualize wild-type and perturbed zebrafish embryonic development in living zebrafish as model vertebrate organisms. Lightsheet microscopes are powerful imaging instruments capable of resolving individual cells in 5D (=D+color+time) within entire living specimens. In this position, you will become an integral part of Loic Royer 's multidisciplinary team of computer scientists, optical engineers, and biologists focused on decoding how cells self-organize to build complex tissues, as exemplified by our recent work. We seek an Optical Engineer, Advanced Light Sheet Microscopy with strong hands-on engineering skills, experience building and integrating scientific instrumentation, ideally lightsheet microscopes, and solid programming expertise for hardware control and automation. A successful candidate will combine practical advanced optical design and system-building experience with the ability to develop and maintain robust control software for advanced light-sheet microscopes. In this position, you will collaborate with scientists, bioengineers, computer scientists, and biologists to co-design and build our imaging systems , optimise our instruments, and design automation of time-lapse imaging of live specimens.

Responsibilities

• Design, prototype, implement, and optimise custom subsystems for light-sheet microscopes and other advanced imaging platforms. Integrate mechanical, thermal, fluidic, optical, and electronic components into cohesive, reliable experimental systems.
• Develop modular hardware control software in Python (and occasionally C/C++), interfacing with cameras, stages, lasers, sensors, and other instrumentation components.
• Design and implement automated or "smart" imaging protocols incorporating feedback loops (e.g., sensor-driven control, adaptive imaging strategies, and real-time decision-making).
• Collaborate with scientists, bioengineers, computer scientists, and biologists to implement new features and capabilities, including hardware interfaces, acquisition modes, graphical user interfaces, smart automation, high-performance data visualization, and scalable data storage pipelines.
• Contribute to data acquisition workflows capable of handling large-scale imaging datasets, including performance optimization, structured data saving, and integration with downstream analysis pipelines.
• Document system architectures, mechanical designs, schematics, and assembly procedures to ensure reproducibility, maintainability, and scalability.

Requirements

• Master of Science, or PhD degree in Optics, Bio

Benefits

Additional Information

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health. Through our multi-dimensional imaging program, we build imaging tools that capture life across scales - from single proteins to whole organisms - revealing how proteins and cells function, communicate, and assemble into living systems. These observations are laying the groundwork for a new generation of AI models that can predict cellular behavior and guide the development of better treatments for widespread diseases. You can learn more about our work here . Our work brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. Our Vision Pursue large scientific challenges that cannot be pursued in conventional environments Enable individual investigators to pursue their riskiest and most innovative ideas Facilitate research by scientists and clinicians at our home institutions and beyond We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.

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