Research Scientist / Engineer, Functional Ultrasound Imaging
$120,000–$220,000 year
On-siteEmeryville, California, United States
Job Summary
Build, validate, and optimize a large-scale volumetric functional ultrasound imaging platform for awake, behaving macaques. 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 junior scientists and engineers. Publish scientific discoveries using Open Science and FAIR principles.
Required Qualifications
- 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
- Appetite for building a capability that does not yet exist
- Willingness to be held to an engineering standard
- Comfort building on shared infrastructure rather than private projects
- Commitment to open science
Desired Qualifications
- Hands on 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
- PhD in neuroscience, bioengineering, physics, electrical engineering, or a related field
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