Position Summary:
The Cell Discovery Network (CDN) at Boston Children’s Hospital is seeking a Research Data Scientist to lead the development of a framework for modeling and reprogramming rare disease-relevant cell types. This new initiative, inspired by recent progress in human organoid systems, iPSC-based modeling, and single-cell technologies, aims to unlock therapeutic strategies for neglected pediatric diseases by computationally guiding the discovery and modeling of disease-critical cell states.
This position offers the opportunity to integrate cutting-edge computational methods (e.g., generative models, foundation models, optimal transport) with a deep understanding of human developmental biology and stem cell differentiation.
Key Responsibilities:-
Curate and analyze public and in-house datasets (including organoid and iPSC-derived models).
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Identify rare or disease-associated cell types from large-scale single-cell and organoid datasets.
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Determine where similar phenotypes have been observed across developmental systems or model organisms.
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Build and apply machine learning and AI models (e.g., generative or trajectory-based models, foundation models) to identify and compare rare cell states.
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Model cellular trajectories and propose reprogramming strategies to reach desired cell phenotypes from accessible starting points (e.g., iPSCs).
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Prioritize therapeutic strategies for disease modeling and compound screening.
Minimum QualificationsEducation:-
Master's Degree in biology, bioinformatics, computer science or related study is required.
Experience:
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2 years of experience in computational biology, bioinformatics, machine learning, systems biology, or a related field is required.
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Minimum of two years of position-specific experience might potentially include experience acquired through MSc or Ph.D. studies.