Research Scientist / Engineer, Functional Ultrasound Imaging

Company Overview

Astera Neuro is a philanthropically funded research organization within the Astera Institute, working to decipher and ultimately write the neural codes underlying perception, thought, behavior, and internal state. The tools this requires do not yet exist, so we are assembling a founding team of experimental neuroscientists, computational scientists, and engineers to build them, from recording and interface hardware to software and computational methods, and to use them to study neural activity at unprecedented scale, with direct promise for treating neurological and psychiatric disease. We pursue high-risk, high-reward science in a collaborative, well-resourced environment with competitive compensation, and share our tools, data, and discoveries openly under Astera's Open Science Policy.

Position Summary

You will develop Astera Neuro's volumetric fUSI platform for primates, working across hardware, experimentation, and computational analysis. From implementing the imaging system and designing experiments to analyzing large-scale datasets and building functional brain atlases, you'll help create one of the world's most advanced platforms for mesoscale imaging of the primate brain.

You'll work alongside engineers, software developers, neuroscientists, veterinarians, and external collaborators in an interdisciplinary team focused on creating technologies that enable fundamentally new neuroscience. Animal wellbeing is foundational to this work, supported by dedicated veterinary and behavioral care staff and rigorous welfare standards.

What You’ll Do

• Build, validate, and optimize a large-scale volumetric functional ultrasound imaging platform for awake, behaving primates.

• Design and execute multimodal neuroscience experiments combining fUSI with behavioral paradigms and complementary recording and perturbation techniques.

• Develop robust computational pipelines for image reconstruction, preprocessing, registration, quality control, statistical analysis, and visualization.

• Analyze large-scale functional imaging datasets using modern statistical and machine learning approaches.

• Register imaging data across sessions and animals to generate high-resolution anatomical and functional brain atlases.

• Integrate fUSI with electrophysiology and other neural recording and perturbation modalities to create comprehensive maps of brain function.

• Collaborate closely with engineers and software developers to continuously improve imaging hardware and acquisition software.

• Mentor research technicians, and at the senior or principal level, more junior scientists and engineers; contribute to hiring, onboarding, and lab culture.

• Publish scientific discoveries using Open Science and FAIR principles, and contribute to open datasets, software, and technical documentation.

Who You Are

Required

• Experience with in vivo functional ultrasound imaging, or with comparable high-resolution neuroimaging technologies.

• Experience designing and executing neuroscience experiments in primates, including awake macaque fMRI.

• Strong scientific programming skills in Python and/or MATLAB.

• Understanding of primate neuroanatomy, image registration, and atlas construction.

• Experience with image reconstruction and signal processing.

• Experience analyzing large-scale imaging, electrophysiology, or multimodal neuroscience datasets, including with machine learning or computational neuroscience methods.

• Ability to work at close quarters with software engineers, hardware engineers, and neuroscientists in a fast-moving, multi-team environment.

• Track record of mentorship and technical leadership.

What We Value

• Conviction that the brain's internal model can be understood in full, and recognition that getting there requires a kind of science no single academic lab can do. We are betting on scale, on deep collaboration across science and engineering, and on open sharing of ideas and expertise in a full-stack environment.

• Appetite for building a capability that does not yet exist. You enjoy building new experimental systems as much as answering scientific questions, and you are comfortable moving between hardware, software, and data analysis.

• Willingness to be held to an engineering standard. Our decisive tests are write-in experiments: constructing a specific percept, thought, or internal state, not merely decoding one. What we cannot build, we do not understand.

• Comfort building on shared infrastructure rather than private projects. Recordings and perturbations