Bioinformatics Analyst: Immune-Aging Genomics & RNA-seq

SilkRoad; New York (NY); On-site; USD 70,000 - 73,000; Full time

Job summary

NYU Grossman School of Medicine is seeking a Bioinformatics Analyst to investigate immune aging in patients with benign and malignant plasma cell disorders. The role involves analyzing a large serum proteomics dataset and later genomic/epigenomic characterization of critical lesions.

The candidate will collaborate with bench scientists, adapt analysis pipelines, and contribute to data quality control and reporting within a dynamic research environment.

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
• Other duties as assigned
• 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

Python

Perl

Unix/Linux

HPC

R

Matlab

Communication

Education

Bachelor's degree in mathematics, biological sciences, computer science or related disciplines

Job description

NYU Grossman School of Medicine is seeking a Bioinformatics Analyst to investigate immune aging in patients with benign and malignant plasma cell disorders. The role involves analyzing a large serum proteomics dataset and later genomic/epigenomic characterization of critical lesions.

The candidate will collaborate with bench scientists, adapt analysis pipelines, and contribute to data quality control and reporting within a dynamic research environment.