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for entanglement detection and classification. The algorithms are supported by affordable, spatial surface and subsea sensing and a low-power edge computing to collect and compress datasets at-sea, allowing the
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single
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of project researchers, investigators, and/or managers. This position will support the Immune Behavioral Health/ Pediatric Acute-onset Neuropsychiatric Syndrome (PANS) Research program. The ideal candidate
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and
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large datasets. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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disease progression. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will
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visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods
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tour de force large scale non-human primate electrophysiological recordings including neuropixels. The applicant will support a team of leading researchers in experimental neuroscience, computational
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Appointment Term: 1 year with renewal for second year contingent on performance and funding Appointment Start Date: April 2026 Group or Departmental Website: https://bilingtonlab.org (link is external) How