Associate Scientist: Single-Cell & Multi-Omic Genomics

Mount Sinai Health System; New York (NY); On-site; USD 59,000 - 99,000; Full time

Job summary

Mount Sinai Health System invites applications for an Associate Scientist to lead and support analysis of large-scale molecular datasets, focusing on single-cell transcriptomics and multi-omic technologies in a collaborative research environment.

The role emphasizes developing processing pipelines, applying advanced modeling, and generating publication-ready insights, with opportunities to contribute to grants and work with AI methods.

Qualifications

• Ph.D. in Biological Science or related field; PhD in Computational Biology, Bioinformatics, Genomics, Statistics, Computer Science, or related field highly preferred
• Three years' experience
• Strong experience analyzing bulk and single-cell RNA-seq and epigenomic data
• Proficiency in R, including common single-cell analysis frameworks
• Experience with large-scale genomic datasets and HPC environments
• Statistical background and data visualization skills
• Experience analyzing DNA methylation data (array-based or sequencing-based)
• Experience analyzing long-read RNA sequencing datasets
• Machine learning/AI methods for genomic data integration or prediction
• Familiarity with cloud-based workflows and reproducible pipelines
• Track record of publications in peer-reviewed journals

Responsibilities

• Lead analysis of single-cell RNA-seq and multiome datasets (joint RNA/ATAC profiling)
• 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
• Design and implement integrative multi-omic analyses across cohorts and 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

Epigenomics

R programming

High-performance computing

Machine learning

Data visualization

Collaboration

Cloud-based workflows

Education

Ph.D. in Biological Science or related field

Tools

R Studio

Python

Job description

Mount Sinai Health System invites applications for an Associate Scientist to lead and support analysis of large-scale molecular datasets, focusing on single-cell transcriptomics and multi-omic technologies in a collaborative research environment.

The role emphasizes developing processing pipelines, applying advanced modeling, and generating publication-ready insights, with opportunities to contribute to grants and work with AI methods.