Computational Scientist

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Job Summary

This position will entail the analysis of de-identified data from human participants. The applicant will code analyses, generate results and visualizations, and meet frequently on zoom with Ralph Adolphs and other members of his lab. The overall scientific aims are to understand human social behavior. This will be accomplished by analyzing eyetracking data, neuroimaging data, and electrophysiological recordings obtained while human participants watch visual stimuli. The results will tell us how visual attention and brain responses are caused by specific features of the stimuli, such as the presence of something salient, or a face in a stimulus image.

Essential Job Duties

• Code regression models and other kinds of analyses in the programming language Python. Data will be of three kinds: eyetracking, fMRI, and electrophysiology.
• Confer regularly with members of the Adolphs lab to obtain de-identified data, to generate results and visualizations, and to meet at least weekly via zoom, and more frequently via email, with Prof. Adolphs and other members of his lab.
• Occasional in-person visits to the lab at Caltech.

Basic Qualifications

• Ph.D. required in physics, engineering, biology or other relevant scientific discipline.
• Must have extensive experience coding in Python. 
• Must have strong knowledge of mathematical tools for encoding models and regularized regression analysis.
• Must be familiar with eyetracking data, fMRI data, and single-unit electrophysiological data and be familiar with the file formats that are used for these kinds of data.

Required Documents

• Resume