Senior Scientist, Single-Cell Genomics & Multi-Omics

Mount Sinai Morningside; New York (NY); On-site; USD 59,000 - 132,000; Full time

Job summary

Mount Sinai Morningside invites applications for a Senior Scientist to lead computational analysis of large-scale molecular datasets, focusing on single-cell and multi-omic technologies. You will work with an integrated team to derive biological insights from complex genomic data and contribute to publications and grants.

The role requires deep expertise in single-cell transcriptomics and epigenomics, strong programming skills, and experience with ML approaches.

Qualifications

• PhD in Computational Biology, Bioinformatics, Genomics, Statistics, or Computer Science preferred.
• Minimum five years of experience in scientific investigation.

Responsibilities

• Lead analysis of single-cell RNA-seq and multiome datasets.
• Perform integrative analysis across modalities (bulk RNA-seq, ATAC-seq, DNA methylation).
• Develop processing pipelines for novel single-cell multiomic technologies.
• Apply statistical modeling and machine learning to identify cellular states and regulatory programs.
• Present findings and contribute to publications and grant applications.
• Stay current with emerging single-cell and AI-driven genomic analysis methodologies.

Skills

Single-cell analysis

R

Epigenomics

Machine learning

Python

HPC

Data visualization

Cloud workflows

Publications

Statistics

Education

PhD in Computational Biology

Tools

HPC environments

Job description

Mount Sinai Morningside invites applications for a Senior Scientist to lead computational analysis of large-scale molecular datasets, focusing on single-cell and multi-omic technologies. You will work with an integrated team to derive biological insights from complex genomic data and contribute to publications and grants.

The role requires deep expertise in single-cell transcriptomics and epigenomics, strong programming skills, and experience with ML approaches.