Imaging & Genomics Data Scientist (HPC Pipelines)

Mount Sinai; United States; On-site; USD 95,000 - 130,000; Full time

Job summary

Mount Sinai is seeking an Associate Computational Scientist to join the MSSM Scientific Computing Group. You will collaborate with scientists to deploy and optimize HPC pipelines for RNA sequencing and imaging analyses, enabling cutting-edge biomedical research.

Responsibilities include building and maintaining data analysis pipelines, managing storage, and interfacing with lab and software teams to advance computational workflows.

Qualifications

• Master's degree or equivalent in a domain science; PhD preferred.
• Beginner level, with some experience in a scientific/academic computing environment or equivalent 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

R programming

Python

Bash

Pipeline development

Education

Masters degree in domain science

Ph.D. preferred

Tools

HPC cluster

Linux

Job description

Mount Sinai is seeking an Associate Computational Scientist to join the MSSM Scientific Computing Group. You will collaborate with scientists to deploy and optimize HPC pipelines for RNA sequencing and imaging analyses, enabling cutting-edge biomedical research.

Responsibilities include building and maintaining data analysis pipelines, managing storage, and interfacing with lab and software teams to advance computational workflows.