Computational Neuroscientist

About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our research. Using computational and neuroimaging techniques, you will design and iterate on stimulus paradigms at scale in collaboration with our research team, and perform comprehensive analyses on collected date to uncover insights into various paradigms and architectures.

You will work with a team of hands-on research coordinators who will handle much of the collection work to get data at scale, and collaborate with other engineers and researchers, to design experiments to optimize next-generation neural decoding approaches. About You - 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.

Compensation Range $140,000 - $180,000+ /year While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.

Benefits - Competitive equity compensation at a seed stage startup - Options for housing support - Visa sponsorship - Health insurance