Mount Sinai Morningside · 4 months ago
Assistant Scientist (Computational Biology) – Mzoughi lab – Oncoplasticity
Mount Sinai Morningside is a leading academic medical system focused on innovative healthcare solutions. They are seeking a highly motivated Post-Doctoral Researcher/Scientist with a strong computational biology background to analyze large-scale omics datasets and contribute to studies on tumor plasticity mechanisms.
Hospital & Health Care
Responsibilities
Analyze bulk and single-cell RNA-seq, ATAC-seq, and CUT&Tag datasets
Develop and optimize pipelines for integrating and interpreting multiomics data
Collaborate with both wet-lab and other dry-lab team members to generate hypotheses and refine experimental designs
Analyze lineage tracing datasets to uncover dynamic cellular transitions and clonal evolution
Present findings in lab meetings, conferences, and manuscripts
Qualification
Required
PhD in Biological Sciences or related field
Two years experience
Preferred
Proficiency in programming languages such as R and Python, with demonstrated experience in analyzing high-dimensional biological datasets
Experience with computational tools and packages for multiomics data analysis (e.g., Seurat, Monocle, edgeR, DESeq2, ArchR)
Familiarity with lineage tracing analysis methods and software is highly desirable
Strong skills in statistical modeling, data visualization, and interpretation of biological findings
Familiarity with high-performance computing environments and version control systems (e.g., Git)
Experience in analyzing single-cell epigenomics and transcriptomics datasets (e.g., single-cell RNA-seq and ATAC-seq)
Knowledge of machine learning techniques for biological data analysis
Strong publication record in peer-reviewed journals
Company
Mount Sinai Morningside
At Mount Sinai Morningside, we offer exceptional clinical care and research within the comfort of a neighborhood hospital known for compassion and sensitivity.
H1B Sponsorship
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2025 (5)
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Funding
Current Stage
Late StageLeadership Team
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