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Preclinical systems neuroscience computational analyst
Salary undisclosed
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Job Description
Job Description
You:
- Strong computer skills, an analytical mind, and experience with time series & medical images
- Just finished undergrad or grad school, and are looking for a job in academia, or
- Worked in industry as a software engineer, and want exposure to research, or
- Want to go to graduate school, but need some lab experience
An amazing place to work
- Lee lab at Stanford University, https://llab.stanford.edu/
- Department of Neurology and Neurological Sciences, Stanford, California, USA
Example Projects
- From optogenetic fMRI to mechanogenetic functional ultrasound
- Study of circuit mechanisms underlying neurological disorders including Parkinson s, Alzheimer s, autism, epilepsy, empathy circuits, and behavior
- Investigation of whole brain pathology, immune system, circuit function relations
- Computational modeling of whole brain circuits, machine learning
A supportive team
- Amazing full-time administrative associate
- Experts are here to help: Lab manager, Data scientist, MRI physicist, Wet lab assistant
- Friendly and helpful colleagues research scientists, post-docs, graduate students
Responsibilities
- EEG signal analysis
- fMRI data analysis
- Statistical analysis
- Writing scripts for analysis pipelines
- Manuscript writing assistance
- Literature searches of analysis methodologies
Requirements
- Bachelor's degree (minimum education required)
- Software, engineering, signal processing, and/or IT skills
- Experience analyzing medical images
- Skilled in Python and Matlab
- Knowledge of basic statistics
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Training & Development
- Wellness Resources
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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