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Field
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available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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. This position requires developing bioinformatics pipelines, applying variant interpretation algorithms, project management skills and communicating with diverse stakeholders to gather and articulate requirements
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other constituencies. Develop and maintain supporting documentation of measurement methods and algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit
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updates to address system changes, including new encryption algorithms, authorization protocols, data packet configurations, and additional user groups. Maintains and upgrades software and hardware
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, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e. clinical data, imaging data, genomic and omics data, device and
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Qualifications: ● Multidisciplinary background (i.e. neuroscience, epidemiology, neurology, psychology, neuroimaging, genomics, aging) and a track record of working across multiple biomedical data domains (i.e
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Classification Title: OPS Machine Learning Assistant Job Description: The OPS research assistant will support multiple ongoing research initiatives within the laboratory, contributing
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate