Grant-Funded Research Associate: ML for Brain-Behavior

Columbia University in the City of New York

New York (NY)

Hybrid

USD 60,000 - 73,000

Full time

14 days+

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Job summary

Columbia University’s School of Nursing seeks a Research Associate to support funded projects using machine learning to study brain-behavior relationships.

The role involves data cleaning, analysis with AI methods, creating visualizations, and assisting with grant applications and manuscript preparation; 35 hours per week; temporary grant-funded position ending 07/31/2027.

Qualifications

  • Requires a bachelor’s degree or equivalent in education and experience.
  • At least 1 year of related experience.
  • Proficiency with R and Python is required.

Responsibilities

  • Assist with data cleaning and generate master database using and/or revising existing pipeline.
  • Assist with data analysis using novel machine learning and artificial intelligence approaches to address real-world problems under supervision.
  • Generate tables and plots using and/or revising existing data visualization pipelines.
  • Assist with the preparation of reports and presentations.
  • Support analytical tasks related to grant applications and proposals.
  • Contribute to manuscript preparation.
  • Performing other related duties as assigned.

Skills

Data analysis
Attention to detail

Education

Bachelor's degree or equivalent
Master's degree preferred

Tools

R
Python

Job description

  • Job Type: Officer of Administration
  • Bargaining Unit:
  • Regular/Temporary: Temporary
  • End Date if Temporary: 07/31/2027
  • Hours Per Week: 35
  • Standard Work Schedule:
  • Building:
  • Salary Range: 66,300-66,300
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.
  • Job Type: Officer of Administration
  • Bargaining Unit:
  • Regular/Temporary: Temporary
  • End Date if Temporary: 07/31/2027
  • Hours Per Week: 35
  • Standard Work Schedule:
  • Building:
  • Salary Range:
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 School of Nursing is searching for a Research Associate to provide support for federally and non-federally funded projects focusing on machine learning approaches to brain-behavior relationships.

Responsibilities

Responsibilities will include but are not limited to:

  • Assist with data cleaning and generate master database using and/or revising existing pipeline

  • Assist with data analysis using novel machine learning and artificial intelligence approaches to address real-world problems under supervision
  • Generate tables and plots using and/or revising existing data visualization pipelines

  • Assist with the preparation of reports and presentations

  • Support analytical tasks related to grant applications and proposals

  • Contribute to manuscript preparation

  • Performing other related duties as assigned

This is a grant-funded position, and employment is contingent upon continued funding.

Minimum Qualifications

  • Requires a bachelor’s degree or equivalent in education and experience, plus one (1) years of related experience.
  • The successful incumbent will possess computer fluency in R and Python.
  • They will have the ability to organize and perform multiple tasks and meet deadlines with minimal supervision.

Preferred Qualifications

  • Master’s Degree preferred

Equal Opportunity Employer / Disability / Veteran

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

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