Genomics Data Analyst for Neurogenomics & Bioinformatics

Columbia University Irving Medical Center; New York (NY); On-site; USD 66,000 - 75,000; Full time

Job summary

Columbia University Irving Medical Center is seeking a highly motivated Data Analyst to support research projects in statistical genetics, computational biology, and multi-omics integration, with a focus on neurodegenerative and neuroinflammatory diseases.

The candidate will work closely with senior researchers to analyze large-scale genomic and single-cell datasets, contributing to data analysis, programming, and scientific writing to help translate genetic findings into biological insights.

Qualifications

• Bachelor's degree or equivalent in education and experience.
• Master’s degree in computational biology, bioinformatics, or biostatistics preferred.
• Experience in data analysis and programming.
• Proficiency in programming languages such as R, Python, or Bash.
• Experience with genomic data (GWAS or genotype data).

Responsibilities

• Perform statistical analyses and provide programming support for collaborative projects - 65 %
• Participate in statistical consultations with clinicians and researchers and present results - 10%
• Contribute to protocol development, statistical analysis plans, and grant applications - 10 %
• Develop, manage, and evaluate data management tools, and perform data queries for research studies - 10 %
• Performs related duties & responsibilities as assigned/requested - 5 %

Skills

Statistical analysis

Programming (R/Python/Bash)

Genomic data experience

Communication skills

Education

Bachelor’s degree

Master’s degree in biostatistics, computational biology, or bioinformatics

Tools

R

Python

Bash

Job description

Columbia University Irving Medical Center is seeking a highly motivated Data Analyst to support research projects in statistical genetics, computational biology, and multi-omics integration, with a focus on neurodegenerative and neuroinflammatory diseases.

The candidate will work closely with senior researchers to analyze large-scale genomic and single-cell datasets, contributing to data analysis, programming, and scientific writing to help translate genetic findings into biological insights.