Computational Neuroscientist

Eon Systems PBC; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Eon Systems PBC in San Francisco is looking for a computational neuroscientist to create embodied digital twins of Drosophila. The role involves simulating behaviors of virtual flies and integrating computations for realistic brain models.

The ideal candidate will have proficiency in Python and experience with neuroscience simulation tools. A competitive salary in the range of $130K to $170K, inclusive of equity, is offered.

Qualifications

• Extensive experience with computational neuroscience.
• Familiarity with brain or biomechanics simulation tools is required.
• Ideal background in Drosophila neuroscience.

Responsibilities

• Simulate Drosophila melanogaster behaviors using embodied fly models.
• Create demonstrations of virtual flies in a virtual environment.
• Document workflows to ensure reproducibility.
• Create virtual environments and bodies in Drosophila projections.

Skills

Proficiency in Python

Scientific computing libraries (NumPy, Matplotlib)

Brain or biomechanics simulation tools (MuJoCo, Flybody, Flygym, Brian2)

Knowledge of neuroscience or computational biology

Strong ability to create polished visualizations

Education

PhD or equivalent qualifications in neuroscience or related field

Job description

About us

At Eon, we are at the forefront of large‑scale neuroscientific connectomic data collection. Our mission is to enable the safe and scalable development of brain emulation technology to empower humanity over the next decade, starting with a digital twins of a fruit fly and a mouse.

Role

At Eon, we intend to create embodied digital twins of animals. This role would create embodied Drosophila that perform tasks using existing physics simulations (MuJoCo). They would integrate these body simulations with connectome‑based brain simulations to create realistic, embodied brain models. Extensive, hands‑on experience with computational neuroscience is required.

Responsibilities

• Use existing embodied fly models (e.g., Flybody, NeuroMechFly/Flygym) to simulate Drosophila melanogaster behaviors.
• Create compelling demonstrations of virtual flies performing tasks in a virtual environment.
• Customize and iterate models to achieve biologically plausible behaviors.
• Document all code and workflows to ensure reproducibility.
• Creation of virtual environments and bodies in Drosophila, and eventually mice.

Skills

• Proficiency in Python, and familiarity with scientific computing libraries (e.g., NumPy, Matplotlib).
• Experience with brain or biomechanics simulation tools (e.g., MuJoCo, the Gymnasium API, Flybody, Flygym, Brian2).
• Knowledge of neuroscience, computational biology, or related fields. Background in Drosophila neuroscience would be ideal.
• Strong ability to create polished and engaging visualizations.
• PhD or equivalent qualifications in neuroscience or related field would be ideal, but is not required.

Representative Projects

• Creation of embodied, virtual flies
• Visualization of brain activity
• Planning experimental data collection to best complement our computational biology data sets

Salary & Compensation

Competitive salary, including equity. Compensation Range: $130K - $170K.