Immunology Data Scientist — RNA & Imaging Analytics

Mount Sinai Medical Center

New York, Northern (NY, KY)

Hybrid

USD 72,000 - 109,000

Full time

14 days+
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Job summary

Mount Sinai Health System is seeking an Associate Computational Scientist within the MSSM Scientific Computing Group to enhance RNA sequencing and imaging data workflows. You will work with researchers to deploy codes on MSSM HPC clusters and support data analysis across single-cell and bulk RNA-seq and imaging datasets.

The role emphasizes building and maintaining pipelines, collaborating with software engineers, and staying updated on sequencing technology trends within a dynamic academic

Qualifications

  • Masters degree or equivalent in a domain science; Ph.D. in a scientific domain preferred.
  • Beginner level, with some experience in a scientific/academic computing environment or equivalent preferred.

Responsibilities

  • Contribute to set up, 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.

Education

Masters degree or equivalent in a domain science
Ph.D. in a scientific domain preferred

Tools

Batch HPC clusters

Job description

Mount Sinai Health System is seeking an Associate Computational Scientist within the MSSM Scientific Computing Group to enhance RNA sequencing and imaging data workflows. You will work with researchers to deploy codes on MSSM HPC clusters and support data analysis across single-cell and bulk RNA-seq and imaging datasets.

The role emphasizes building and maintaining pipelines, collaborating with software engineers, and staying updated on sequencing technology trends within a dynamic academic

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