Bioinformatics Scientist, RNA-Seq & Imaging

Mount Sinai Morningside; New York (NY); On-site; USD 72,000 - 109,000; Full time

Job summary

Mount Sinai Morningside seeks an Associate Computational Scientist to collaborate with scientists on HPC pipelines and enhance RNA sequencing and imaging data analyses within the Immunology and Immunotherapy division.

You will maintain and contribute to RNA-seq (single-cell and bulk) and multiplex image data repositories, adapt workflows, and work with software engineers to upgrade pipelines. A Masters or Ph.D. in a relevant field is preferred.

Qualifications

• Masters degree or equivalent in a domain science; Ph.D. in a scientific domain preferred.
• Experience in a scientific computing environment or equivalent is preferred.

Responsibilities

• Contribute to setup, management and maintenance of sequencing and imaging data analysis pipelines.
• Manage sequencing and imaging data storage infrastructure.
• Adapt and optimize established internal and external coding workflows to process laboratory data.
• Curate, integrate and analyze internal and external sequencing and imaging data.
• Integrate with computational and biological team members to address needs of laboratory research.
• Work with the software engineering team to ensure pipeline upgrades and new pipelines are properly implemented in laboratory workflow.
• Assist collaborators with data access, analysis, and interpretation.
• Stay current on innovations in RNA sequencing and imaging analysis.

Skills

RNA sequencing

Python

R

Linux

HPC

Education

Master's degree

Ph.D. preferred

Tools

Python

R

Bash

Linux

Job description

Mount Sinai Morningside seeks an Associate Computational Scientist to collaborate with scientists on HPC pipelines and enhance RNA sequencing and imaging data analyses within the Immunology and Immunotherapy division.

You will maintain and contribute to RNA-seq (single-cell and bulk) and multiplex image data repositories, adapt workflows, and work with software engineers to upgrade pipelines. A Masters or Ph.D. in a relevant field is preferred.