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models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according to study design and appropriate statistical methods
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential
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actionable insights (e.g., visualizations, algorithms) in real-time. The MLE will join a dynamic, multi-site team working at the intersection of machine learning, digital phenotyping, pediatric mental health
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intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge. Responsibilities Include: AI Tool Development and Implementation Design and implement efficient