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Job Description

Support breakthrough research as a Data Analyst at Columbia University in New York, NY (onsite). In this regular, 35 hours per week role, you will help analyze large-scale genomic and single-cell datasets focused on neurodegenerative and neuroinflammatory diseases, with opportunities to contribute programming support, statistical analyses, and scientific writing that translate genetic findings into biological insight.

What you’ll do

  • Conduct statistical analyses and provide programming support for collaborative projects and consultations under faculty supervision (65%)
  • Join statistical consultations with clinicians and researchers, and present analysis results at collaborative meetings (10%)
  • Help develop protocols and statistical analysis plans, and support preparation of grant applications and manuscripts (10%)
  • Build, manage, and evaluate data management tools, including performing data queries for research studies (10%)
  • Complete related duties and responsibilities as assigned or requested (5%)

Skills and qualifications

  • Minimum: Bachelor’s degree or equivalent in education and experience
  • Master’s: Master’s degree in computational biology, bioinformatics, or biostatistics, or a related field
  • Experience in statistical genetics or analysis of large-scale biological data
  • Proficiency in programming languages such as R, Python, or Bash
  • Experience working with genomic data, including GWAS summary statistics or genotype data
  • Excellent written and oral communication skills and strong attention to detail
  • Strong organizational skills and the ability to work effectively in a collaborative team environment
  • Experience contributing to scientific publications or collaborative research projects (preferred but not required)

Tools you’ll work with

  • R, Python, Bash
  • GWAS summary statistics, genotype data

Role details

Location: New York, NY (onsite)
Job Type: Officer of Administration (Regular)
Hours: 35 hours per week
Salary Range: USD 66,300 - 75,000 per year

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