Senior Scientist - Single-Cell Multi-Omic Genomics & AI

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

Job summary

Mount Sinai Health System in New York seeks a Senior Scientist to lead computational analysis of high-dimensional genomic data, working with a tightly integrated team to extract biological insights from single-cell and multi-omic datasets. You will drive analysis, modeling, and method development across cohorts, contributing to publications and grant proposals.

The role emphasizes strong programming in R and Python, experience with cloud/HPC environments, and a track record of publications in

Qualifications

• Ph.D in sciences or related field (Computational Biology, Bioinformatics, Genomics, Statistics, Computer Science, or related field)
• Minimum five years of experience with scientific investigation
• Must have demonstrated outstanding achievement in a field of research
• Prior experience successfully securing external grant funding is highly desirable.

Responsibilities

• Lead analysis of single-cell RNA-seq and multiome datasets (joint RNA/ATAC profiling)
• Perform integrative analysis across modalities, including bulk RNA-seq, ATAC-seq, and DNA methylation datasets
• Develop processing pipelines for novel single cell multiomic technologies
• Apply statistical modeling and machine learning methods to identify cellular states, regulatory programs, and epigenetic signatures
• Design and implement integrative multi-omic analyses across cohorts and experimental systems
• Present findings internally and contribute to publications and grant applications
• Stay current with emerging single-cell and AI-driven genomic analysis methodologies
• Performs other related duties.

Skills

Single-cell RNA-seq

Multi-omics data integration

Machine learning / AI

Statistical modeling

R programming

High-performance computing

Education

Ph.D. in Computational Biology / Bioinformatics / Genomics

Tools

R

Python

HPC environments

Job description

Mount Sinai Health System in New York seeks a Senior Scientist to lead computational analysis of high-dimensional genomic data, working with a tightly integrated team to extract biological insights from single-cell and multi-omic datasets. You will drive analysis, modeling, and method development across cohorts, contributing to publications and grant proposals.

The role emphasizes strong programming in R and Python, experience with cloud/HPC environments, and a track record of publications in