Research Scientist/Engineer, Deep Brain Two Photon Imaging and Optogenetics

1 нед. назад

135k–220k USD / yearUSASeniorOnsite

optogeneticstwo photon imagingneuroscience

PhD-level scientist/engineer to develop and optimize optical implant for two photon imaging and optogenetics in neural circuits.

Требования

Required:
PhD with 0-4 years of experience in neuroscience, bioengineering, physics, or a related field, or equivalent research experience. We value demonstrated skill and relevant experience above credentials.
Hands-on rodent and/or primate survival surgery experience; stereotaxic injections.
Hands-on experience with in vivo two-photon calcium imaging and/or holographic (SLM-based) optogenetics in rodents or primates.
Practical experience with two-photon systems: optical alignment, system characterization, and in vivo use.
Proficiency in scientific computing for neural-data analysis; Python and/or MATLAB, with Suite2p, CaImAn, or comparable pipelines.
Preferred/Nice to Have:
ZEMAX modeling
Experience with ultrafast pulsed lasers (Ti:Sapphire, fiber) and nonlinear optics.
Two-photon optogenetics (SLM-based holography, temporal focusing, or spiral-scanning photostimulation); soma-targeted opsins such as ChRmine.
Prior systems neuroscience research in cortex, working memory, decision-making, or motor/premotor circuits.

Условия

Research Scientist at Neuro running an all-optical program to read, write, and perturb the content of working memory in the primate cortex at single-cell resolution. You will design the implants, help perform the survival surgeries it depends on, and run the two-photon holographic optogenetics that causally manipulates cognition. This work sits within Neuro’s larger effort to answer the hardest and least understood questions in neuroscience: how the brain generates thoughts, intelligence, and consciousness.
Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications.
We are an equal opportunity employer and value diversity and inclusion!

Другое

Neuro, part of the Institute, is building the tools to decipher and ultimately write the neural codes behind perception, thought, behavior, and internal state. Since these tools don't yet exist, we're assembling a founding team of neuroscientists, computational scientists, and engineers to build them (hardware, software, and methods) and use them to study neural activity at unprecedented scale, with direct relevance to neurological and psychiatric disease. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share our work openly under 's Open Science Policy.
We're hiring a PhD-level scientist/engineer to join Neuro's neuroscience team, working to read, write, and perturb the contents of cognition in the primate brain at single-cell resolution. Neuro is 's initiative to decode how patterns of neural activity become the thoughts, perceptions, and memories of conscious experience. We work from the hypothesis that the brain uses a compositional architecture, and we aim to move neuroscience from observation to engineering by reading from and writing to neural circuits at scale.
Your initial assignment is to develop and optimize an optical implant for high resolution two photon imaging and optogenetics deep in the brain. While parallel efforts target surface structures with conventional cranial windows, many key structures for cognition sit in brain sulci, millimeters below the surface. You'll oversee the full toolkit development: optimizing the optics (GRIN lenses, microprisms, micro-objectives), the surgical implantation procedure, and integration with the two photon holographic microscope. The work spans optical engineering to systems and cognitive neuroscience.
The ideal candidate is an experimentalist who can carry the work end-to-end: designing a GRIN lens system in the morning, running a closed-loop holographic write-in on the rig in the afternoon, and writing the population-analysis pipeline that evening. You want institutional support and the freedom to move fast on a problem that matters.
Design and iterate GRIN lens and/or microprism assembly for deep brain imaging in the primate brain, with early optimization in rodents.
Develop and help execute the surgical implantation procedure
Run two-photon imaging and holographic photostimulation experiments: read population activity during the task, then write in and perturb the held representation at single-cell resolution.
Run holographic targeting, power calibration, and closed-loop stimulation on the all-optical rig, working with our optics engineering team.
Lead computational analysis of large-scale neural population data, including dimensionality reduction, population decoding, GLMs, and circuit-level inference.
Set the viral and transgenic expression strategy, including soma-targeted opsin and GCaMP.
Perform rodent survival surgery for the initial validation: stereotaxic viral injection, chronic cranial-window implantation, and headbar installation.
Mentor research associates and technicians – and, at the senior or principal level, more junior scientists; contribute to hiring, onboarding, and lab culture.
Contribute to publications, talks, open data and tooling releases, and engagement with the broader scientific community.
Conviction that the brain’s internal model can be understood in full, and that getting there requires a kind of science no single academic lab can do; we’re betting on scale, deep collaboration across science and engineering, and open sharing of ideas in a full-stack environment.
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; rigs, surgical preparations, and analysis pipelines are standardized so they can be shared, and datasets are designed to stitch across sessions and animals.
Commitment to open science; we release tools, data, and methods, and aim to create a new dynamic of rapid, open exchange in neuroscience.