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# Senior Scientist (Computational Genomics & Large-Scale Molecular Data Analysis)(Dr Sealfon's Lab) -

- **Company:** Mount Sinai Health System
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $58,661 - $131,588
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Bioinformatics, Computational Biology, Computer Programming, Data Visualization, Machine Learning, Information Technology, Data Pipelines
- **Published:** October 20, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3472118262&tx=HT7872THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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
 * Must have contributed to a number of peer-reviewed publications, inventions or the like, at least some of which have had a major impact on advancing the field or discipline.
 * Prior experience successfully securing external grant funding is highly desirable.
 * Highly Preferred Experience:
 * Strong experience analyzing bulk and single-cell RNA-seq and epigenomic data
 * Proficiency in R, including common single-cell analysis frameworks
 * Experience working with large-scale genomic datasets and high-performance computing environments
 * Strong statistical background and data visualization skills
 * Experience analyzing DNA methylation data (e.g., array-based or sequencing-based approaches)
 * Experience analyzing long-read RNA sequencing datasets
 * Demonstrated use of machine learning/AI methods for genomic data integration or prediction
 * Familiarity with cloud-based workflows and reproducible pipeline development
 * Track record of publications in peer-reviewed journals

## Description

The Senior Scientist will drive computational analysis of high-dimensional datasets, partnering closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data. The ideal candidate has deep expertise in single-cell transcriptomics and epigenomics, experience handling large-scale datasets, and strong quantitative and programming skills. Experience in machine learning and AI approaches is highly desirable., * 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.