Lead Scientist, Macaque Whole-Brain Mapping & Atlas Development

Responsibilities

• Build a high-resolution, whole-brain anatomical map of the primate brain.
• Chart the brain's long-range axonal connectivity (the projectome) in coordination with contracted external partners.
• Build a unified, high-resolution anatomical and functional atlas by registering and integrating electrophysiology and imaging data with colleagues across the team.
• Deliver an openly accessible atlas release with the software engineering team for the scientific community and public.
• Develop anatomically grounded computational models of the brain with the NeuroAI team.

Requirements

• Deep expertise in in vivo imaging of the primate brain, ideally including awake fMRI at high, submillimeter spatial resolution.
• Strong record of independent research with major contributions to primate neuroimaging, systems neuroscience, or comparative brain mapping.
• Experience integrating multimodal data, including functional imaging, electrophysiology, and anatomy, into common high-resolution reference frames.
• Familiarity with brain-wide connectivity, including functional and effective connectivity and circuit-tracing approaches relevant to charting the projectome.
• Strong quantitative and analytical skills, including development of novel analytical methods for comparative or large-scale neuroimaging.
• Commitment to open, reproducible science and broad availability of tools, data, and atlases.
• At the senior or principal level: leadership of large, multi-institution research programs or consortia; mentoring PhD students and postdoctoral researchers; shaping a team or center's research agenda; and securing and managing substantial research funding, infrastructure, and operational logistics for large-scale data efforts.

Nice-to-haves

• Experience pioneering or developing imaging technology, such as phased-array receive coils or functional ultrasound imaging (fUSI).
• Expertise in causal, reversible perturbation methods in primates, including optogenetics, microstimulation, or TMS, combined with imaging to probe effective connectivity.
• Experience with comparative human and primate imaging and cross-species homology mapping.
• Contributions to open, large-scale neuroscience infrastructure or shared data resources.
• Background in or close collaboration with computational modeling and NeuroAI efforts.

Compensation

• Salary range: $250,000-$350,000, based on Bay Area location.
• Competitive compensation package commensurate with experience and location.