Multi-Omics Bioinformatics Analyst

employee-einstein; New York (NY); On-site; USD 59,000 - 60,000; Full time

Job summary

Albert Einstein College of Medicine is seeking a Bioinformatics Analyst to develop standardized analytical pipelines for multi-omics data, including RNA-seq, proteomics, metabolomics, and lipidomics. You will join the Chang Lab in a collaborative environment focused on disease mechanisms and therapeutic targets.

The role emphasizes software development, computational modeling, and analysis of large-scale datasets, with opportunities for co-authorship and research dissemination.

Qualifications

• Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Engineering, Computer Science, Applied Mathematics, or related quantitative discipline, and at least 2 years of computational research experience after graduation.
• Strong programming experience in Python, MATLAB, and R.
• Experience developing reproducible computational analysis pipelines.
• Experience working in Linux/Unix environments and with version control systems.
• Familiarity with high-performance computing environments, workflow automation, and parallel computing.
• Excellent written and verbal scientific communication skills.
• Ability to work largely independently but with periodic guidance from PI and more senior lab members.

Responsibilities

• Implement, document, and maintain standardized computational pipelines for analysis of multi-omics datasets, with emphasis on bulk RNA-seq and integration with proteomic, metabolomic, and lipidomic data.
• Build computational workflows based on genome-scale metabolic network models for identifying metabolic biomarkers and performing constraint-based flux analyses.
• Apply machine learning workflows for multi-omics integration, including feature selection, phenotype classification, survival prediction.
• Adapt computational pipelines for HPC environments and workflow automation.
• Collaborate on studies investigating metabolic adaptations across disease models.
• Interpret results with experimental scientists to generate testable hypotheses.
• Contribute to dissemination of methods and results through manuscripts and presentations.

Skills

Python

MATLAB

R

reproducible pipelines

Linux/Unix

communication skills

independent work

Education

Bachelor's or Master's degree in Bioinformatics/Computational Biology/related quantitative field

Tools

COBRA Toolbox

COBRApy

Git

Job description

Albert Einstein College of Medicine is seeking a Bioinformatics Analyst to develop standardized analytical pipelines for multi-omics data, including RNA-seq, proteomics, metabolomics, and lipidomics. You will join the Chang Lab in a collaborative environment focused on disease mechanisms and therapeutic targets.

The role emphasizes software development, computational modeling, and analysis of large-scale datasets, with opportunities for co-authorship and research dissemination.