Bioinformatics Analyst: Immune Aging & Genomics Research

NYU Langone Hospitals; New York, Northern (NY, KY); Hybrid; USD 70,000 - 73,000; Full time

Job summary

NYU Langone Health seeks a Bioinformatics Analyst to analyze immune aging in plasma cell disorders and integrate diverse genomics data. You will collaborate with bench scientists, adapt pipelines, and present computational results to contribute to cancer biology and translational research.

Strong Unix/Linux, Python/Perl, and R/Matlab skills are required. The role emphasizes developing genomics data analysis capabilities (RNA-seq, scRNA-seq, ChIP-seq, ATAC-seq) and working in a dynamic research

Qualifications

• B.S. in mathematics, biological sciences, computer science or related disciplines.
• Experience in Unix/Linux systems including HPC environments.
• Scripting languages: Python or Perl.
• Statistical packages: R (preferred) or Matlab.
• Excellent communication skills with proficiency in written and oral English.

Responsibilities

• Work closely with bench scientists to understand and help accomplish their research goals
• Assist in preparing concise presentations of computational results
• Work with bioinformatics team to integrate different types of genomics
• Adapt genomic data analysis pipelines in a rapidly evolving research environment
• Assist in the design, implementation and execution of customized pipelines for collaborative research projects
• Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses
• Perform robust data quality control and validation
• Develop expertise in various types of sequencing data analysis (e.g. RNA-seq, scRNA-seq, ChIP-seq, ATAC-seq, sequencing of long reads)

Skills

Unix/Linux

Python

Perl

R/Matlab

Communication

Education

B.S. in mathematics, biological sciences, computer science or related disciplines

Tools

HPC environments

Job description

NYU Langone Health seeks a Bioinformatics Analyst to analyze immune aging in plasma cell disorders and integrate diverse genomics data. You will collaborate with bench scientists, adapt pipelines, and present computational results to contribute to cancer biology and translational research.

Strong Unix/Linux, Python/Perl, and R/Matlab skills are required. The role emphasizes developing genomics data analysis capabilities (RNA-seq, scRNA-seq, ChIP-seq, ATAC-seq) and working in a dynamic research