Computational Neuroscience Intern | Joy Lab
About The Position
The Jackson Laboratory (JAX) is seeking a motivated Computational Neuroscience Intern to join the Joy Lab for a summer internship. The Joy Lab studies mechanisms of neural repair after stroke using large-scale neural recordings, ethological measurements of behavior, optogenetics, and transcriptomics. The successful candidate will work with datasets collected from neurophysiological recordings and animal behavior experiments. Primary responsibilities will include developing and implementing statistical and machine learning models for data analysis, data mining, data curation, and storage in research repositories. This internship offers significant opportunities for professional growth, including the chance to develop novel methods and evaluate existing approaches in computational neuroscience. The intern will work closely with members of the Joy Lab, learn about relevant biological questions and scientific literature, apply analytical models to complex datasets, and contribute to scientific publications.
Requirements
- An undergraduate degree
Nice To Haves
- Master’s degree or experience in one or more areas such as neuroscience, machine learning, computational biology, statistics, data science, or a related field
- Communicate regularly and effectively with lab members
Responsibilities
- Developing and implementing statistical and machine learning models for data analysis
- Data mining
- Data curation
- Storage in research repositories
- Work closely with members of the Joy Lab
- Learn about relevant biological questions and scientific literature
- Apply analytical models to complex datasets
- Contribute to scientific publications
Benefits
- Pay Range: $14.5 - $30.51
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What This Job Offers
Career Level
Intern
Education Level
High school or GED
