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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools
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algorithms and best clinical judgment in making decisions regarding anticoagulant dosage adjustments and patient reevaluation. Considers and refers any patient appropriate for independent INR monitoring
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neighborhoods to define using cellular protein expression, then implement appropriate computational approaches to define these neighborhoods (e.g., Latent-Dirichlet Algorithm, network analysis, etc.). Work with
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tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact. Complete other responsibilities as assigned. Qualifications Basic Qualifications: Minimum of seven