Computational Neuroscientist

Alljoined•San Francisco, CA

62d•$120,000 - $160,000

About The Position

As a Computational Neuroscientist , you will play a pivotal role in advancing our research into non-invasive brain-computer interfaces. Utilizing your expertise in computational neuroscience and neuroimaging techniques, you will independently design stimulus paradigms, deploy them iteratively at scale in collaboration with our research team, and perform advanced statistical analyses to uncover insights into brain responses and into the efficacy of developing brain-computer interfaces. You will work with a team of hands-on research coordinators who will handle much of the day-to-day data collection work, allowing you to focus on the scientific process. Collaborating with other engineers and researchers, you will help shape strategies to optimize our experimental decoding approach across people and tasks, informing next-generation neural decoding approaches.

Requirements

PhD/postdoc in neuroscience or a related field.
Extensive experience in designing and executing neuroscience studies, including the analysis of functional brain imaging data (EEG, fMRI).
Proficiency in Python (MNE, Numpy, PyschoPy) and associated machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn).
Extensive experience using advanced computational, statistical, and modeling skills to analyze and interpret neuroimaging data.
A strong grasp of psychophysics and human behavior.
Demonstrated ability to conduct independent research and collaborate in an interdisciplinary setting.

Responsibilities

design stimulus paradigms
deploy stimulus paradigms iteratively at scale in collaboration with our research team
perform advanced statistical analyses to uncover insights into brain responses and into the efficacy of developing brain-computer interfaces
shape strategies to optimize our experimental decoding approach across people and tasks, informing next-generation neural decoding approaches