Senior Bioinformatics Scientist: NGS & Multi-Omics

Magnit; Ridgefield (CT); On-site; USD 90,000 - 150,000; Full time

Job summary

Magnit is seeking a bioinformatics scientist to design and deploy NGS data analysis workflows for immune-relevant disease targets. You will benchmark methods, integrate multi-omics data, and automate reporting to support biomarker discovery. Strong collaboration across teams and adherence to SOPs are essential.

The role emphasizes translating complex data into actionable insights, staying current with methods, and contributing to protocol development in a multidisciplinary setting.

Qualifications

• Strong scientific understanding and experience in bioinformatics.
• Experience in pharmaceutical research and immunological diseases is a plus.
• Design, implement and deploy NGS workflows for target identification and biomarker discovery.
• Ability to benchmark methods and perform QC measures.
• Interpret results and communicate findings to peers.

Responsibilities

• Develop and optimize omics data analysis methods and workflows.
• Integrate multi-omics data to identify drug targets and downstream effects.
• Automate processing, reporting, and delivery of results.
• Stay current with literature and best practices in bioinformatics.
• Collaborate across disciplines and present results clearly.
• Adhere to SOPs and data integrity/ethics standards.

Skills

NGS data analysis

Bioinformatics

Data visualization

Data integration

Multi-omics

Programming

Nextflow

UNIX/Linux

Bioconductor

Cloud computing

Education

Master's degree in CS/Genomics/Bioinformatics

Bachelor's degree + 7+ years in STEM

Tools

R

Python

Shiny

UNIX/Linux

Nextflow

Bioconductor

Job description

Magnit is seeking a bioinformatics scientist to design and deploy NGS data analysis workflows for immune-relevant disease targets. You will benchmark methods, integrate multi-omics data, and automate reporting to support biomarker discovery. Strong collaboration across teams and adherence to SOPs are essential.

The role emphasizes translating complex data into actionable insights, staying current with methods, and contributing to protocol development in a multidisciplinary setting.