Data Science Analyst I - Cardiovascular Research Institute
Mount Sinai Health System
New York, NY, US
Deep learning models
Active learning frameworks
Single-cell multi-omics datasets
Develop and deploy active learning frameworks leveraging high-dimensional omics (e.g., transcriptomics) to accelerate identification of functional modulators of disease phenotypes
Job Summary
Develop and deploy active learning frameworks leveraging high-dimensional omics (e.g., transcriptomics) to accelerate identification of functional modulators of disease phenotypes.
Integrate Transcriptomic & Phenotypic Data by building pipelines to preprocess, integrate, and embed perturb-seq transcriptomic profiles with phenotypic measurements.
Implement iterative lab-in-the-loop refinement, connecting predictive models to experimental feedback and collaborating with wet lab partners.
Matching Summary
Develop and deploy active learning frameworks leveraging high-dimensional omics (e.g., transcriptomics) to accelerate identification of functional modulators of disease phenotypes.