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Location
In office (New York)
Seniority
Principal

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Jul 1, 2022. Mount Sinai Health System scores C on the Alion truth index.

Overview
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Impact
Profile match
Mount Sinai Health System is a nonprofit academic health system headquartered in New York City. It operates hospitals including The Mount Sinai Hospital, Mount Sinai West, Mount Sinai Morningside, Mount Sinai Brooklyn, Mount Sinai Queens and New York Eye and Ear Infirmary, a large network of ambulatory practices, and the Icahn School of Medicine at Mount Sinai. The system was formed in 2013 when Mount Sinai, whose flagship hospital opened in 1852, combined with Continuum Health Partners, and it hires nurses, physicians, clinical research coordinators, radiology technicians and administrative staff.

Roles & Responsibilities:

The job includes research in healthy human donors and inflammatory bowel disease (IBD) patients and murine models using single-cell multi-omics techniques for Judy H. Cho’s lab (https://labs.icahn.mssm.edu/cholab/) at the Icahn School of Medicine at Mount Sinai in New York City. This Postdoctoral position will lead independent projects to investigate the pathogenesis of IBD in humans, identify novel biomarkers of treatment response and provide potential therapeutic opportunities.

Duties and Responsibilities:

  • Design and implement research studies
  • Collect and analyze data; perform quality control, interpret, summarize results
  • Master prior literature and place findings in appropriate scientific context. Publish results in peer-review journals.
  • Collaborate with other researchers in the lab to improve the efficiency of research.

Requirements:

  • PhD in bioinformatics/computational biologist, or related majors
  • Proficient with statistical programming languages (R, RStudio)
  • Proficient with python/shell/other scripting languages
  • Use of high-performance computing (HPC) cluster environment
  • Strong research experience in analysis of large-scale genomic datasets (single-cell RNA-seq, ATAC-seq, etc)
  • Self-motivated and highly dedicated
  • Effective written and oral communication skills

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