Associate Scientist - Dr Sealfon's Lab (Computational Genomics & Large-Scale Molecular Data Analysis) - Neurology
About the role
We are seeking a highly motivated Staff 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.
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
Qualifications
- Ph.D. in Biological Science or related field
- Three years experience
Preferred Skills
- PhD in Computational Biology, Bioinformatics, Genomics, Statistics, Computer Science, or related field (or equivalent 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
Employer Description
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.