Edtech.com's Summary

Columbia University is hiring a Data Scientist for the Department of Neurology's Cerebral Palsy Center. This role involves collaborating with scientists to develop analysis pipelines and Bayesian models for neurostimulation data, along with creating interactive visualization tools and supporting the use of these methods.

Highlights

Develop analysis pipelines for electrophysiological data from rats and humans.
Implement and validate hierarchical Bayesian models of motor-evoked potential (MEP) recruitment curves.
Create interactive visualizations and dashboard tools.
Perform data mining, statistical analysis, and mathematical modeling.
Stay current with scientific literature on statistical methods and machine learning in electrophysiology.
Preferred proficiency in Python and experience with Bayesian Generalized Linear Models (NumPyro, RSTAN).
Experience with visualization tools such as Tableau, MATLAB, or Matplotlib.
Familiarity with version control using git and collaborative software development.
Requires a bachelor's degree minimum; MSc in data science or related field preferred.
Salary range: $64,350 to $66,300 annually for a 35-hour workweek.

Data Scientist Full Description

Job Type: Officer of Administration

Bargaining Unit:
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35
Standard Work Schedule:
Building:
Salary Range: 64,350 - 66,300

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary

The successful candidate will work in close collaboration with scientists in the Movement Recovery Laboratory on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be 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 our existing Python library hbMEP.

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

Minimum Qualifications

Requires a bachelor's degree or equivalent in education and experience

Preferred Qualifications

MSc degree in data science or equivalent qualification.
Development of analysis pipelines (Python preferred).
Experience with Bayesian Generalized Linear Models (NumPyro, RSTAN preferred).
Experience with developing visualization of electrophysiological data (e.g. tableu, matlab, matplotlib).
Experience with git and ability to work collaboratively on software.
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.

___________________________________________________________________________________________________________

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

Original Job Description

Job Type: Officer of Administration

Bargaining Unit:
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35
Standard Work Schedule:
Building:
Salary Range: 64,350 - 66,300

Position Summary

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

Minimum Qualifications

Requires a bachelor's degree or equivalent in education and experience

Preferred Qualifications

MSc degree in data science or equivalent qualification.
Development of analysis pipelines (Python preferred).
Experience with Bayesian Generalized Linear Models (NumPyro, RSTAN preferred).
Experience with developing visualization of electrophysiological data (e.g. tableu, matlab, matplotlib).
Experience with git and ability to work collaboratively on software.
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.

___________________________________________________________________________________________________________

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

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