Data Science Analyst I - Cardiovascular Research Institute
About The Position
Single-cell and spatial transcriptomics data provide a static view of healthy and disease states. Several deep-learning models including foundation models have been developed to predict dynamic changes that can drive biological systems from disease to healthy states. However, most of these methods are not geared towards heart failure and cannot readily be used for in silico perturbation. Importantly, these methods do not explicitly take into account information on the drug-protein interactions. We are seeking a highly motivated data analyst to develop and deploy active learning frameworks leveraging high-dimensional omics (e.g., transcriptomics) to accelerate identification of functional modulators of disease phenotypes. The role combines deep learning, systems biology, and iterative model-informed experimentation to drive biological discovery and therapeutic target nomination, building on cutting-edge methodology demonstrated in recent Science publications.
Responsibilities
- develop and deploy active learning frameworks leveraging high-dimensional omics (e.g., transcriptomics) to accelerate identification of functional modulators of disease phenotypes
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What This Job Offers
Career Level
Entry Level
Education Level
No Education Listed
