Postdoctoral Immune Monitoring Data Scientist (Multiomics)

Mount Sinai Morningside; New York (NY); On-site; USD 73,000 - 80,000; Full time

Job summary

Mount Sinai Morningside in New York City seeks postdoctoral scientists to lead translational research in immune monitoring by analyzing high-plex immunologic datasets across diverse diseases and cohorts. This role involves end-to-end data processing, quality control, and biological interpretation.

The successful candidate will collaborate with immunologists, clinicians, wet-lab scientists, and computational researchers to translate complex sequencing data into biologically meaningful immune

Qualifications

• Ph.D. required; postdoctoral research experience preferred.
• Experience analyzing high-dimensional genomic datasets in translational/clinical research settings.
• Strong understanding of molecular biology and immunology.
• Proficiency in R, Python and related single-cell data structures and HPC.

Responsibilities

• Perform independent research and process, quality-control, integrate, and interpret high-dimensional omics data to characterize immune-cell populations and transcriptional states.
• Characterize immune populations and disease-associated signatures across patient cohorts and experimental conditions.
• Integrate molecular, spatial, clinical, and experimental data to investigate immune mechanisms and tissue microenvironments.
• Collaborate with wet-lab scientists, clinicians, immunologists, and pathologists on experimental design and data interpretation.
• Develop and maintain reproducible analytical workflows and generate reports and summaries for projects and manuscripts.
• Co-lead training seminars.

Skills

R & Python

Genomic data analysis

Molecular immunology

Computational workflows

Education

Ph.D.

Job description

Mount Sinai Morningside in New York City seeks postdoctoral scientists to lead translational research in immune monitoring by analyzing high-plex immunologic datasets across diverse diseases and cohorts. This role involves end-to-end data processing, quality control, and biological interpretation.

The successful candidate will collaborate with immunologists, clinicians, wet-lab scientists, and computational researchers to translate complex sequencing data into biologically meaningful immune