> Markdown version of [/jobs/ext/3929429-associate-scientist-computational-genomics-large-scale-molecular-data-analysis-dr-sealfon-s-l](https://www.wearedevelopers.com/jobs/ext/3929429-associate-scientist-computational-genomics-large-scale-molecular-data-analysis-dr-sealfon-s-l). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Associate Scientist - Computational Genomics & Large-Scale Molecular Data Analysis - (Dr Sealfon's L

- **Company:** Mount Sinai Health System
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $58,661 - $98,979
- **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 26, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3467580554&tx=TT4441TTV&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 Biological Science, Computational Biology, Bioinformatics, Genomics, Statistics, Computer Science, or related field
 * 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 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

We are seeking a highly motivated Associate Scientist to lead and support the analysis of large-scale molecular datasets in a dynamic, collaborative research environment. This role focuses on cutting-edge functional genomics, with an emphasis on single-cell and multi-omic technologies.

The Associate 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.