Columbia University is looking to hire an Officer of Administration to work in the Movement Recovery Laboratory on projects at the intersection of neuroscience and biomedical engineering. The initial goal is to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods to paired cortical-spinal stimulation and by building a researcher-friendly GUI around an existing Python library.
Requirements
- Development of analysis pipelines (Python preferred).
- Experience with Bayesian Generalized Linear Models (NumPyro, R STAN preferred).
- Experience with developing visualization of electrophysiological data (e.g. tableu, matlab, matplotlib).
- Experience with git and ability to work collaboratively on software.
Responsibilities
- Developing analysis pipelines for electrophysiological data from rats and humans.
- Implementing, developing, and validating hierarchical Bayesian models of motor-evoked potential (MEP) recruitment curves.
- Creating interactive visualization and dashboard tools.
- Data mining, statistical analysis, and mathematical modelling.
- Provides support for use of developed methods.
- Remains up to date on the scientific literature of statistical methods and machine learning as applied to electrophysiology
Other
- Requires a bachelor's degree or equivalent in education and experience
- MSc degree in data science or equivalent qualification.
- Must be able to communicate verbally and in writing in a professional and succinct manner and be open to feedback and collaboration.
- Adept at solving problems quickly, efficiently, and independently.
