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Field
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machine learning models. Working with extremely large, multi-modal datasets. Prior experience in analysis of clinical health records, and time series data are highly preferred. Qualifications Requirements
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following neuroimaging methods and modalities: functional connectivity, representational similarity analysis, decoding techniques; structural connectivity, magnetic resonance spectroscopy; quantitative MRI
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disease. Another primary focus is the cross-modal integration of Alzheimerâ™s disease genomics with brain-imaging derived phenotypes to elucidate how genetics contributes to disease heterogeneity. Overall
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disparities in Alzheimer’s disease. Another primary focus is the cross-modal integration of Alzheimer’s disease genomics with brain-imaging derived phenotypes to elucidate how genetics contributes to disease
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differentiation of pluripotent stem cells into retinal cells and tissues. The work will specifically employ scalable culture modalities and bioreactors. This work will be undertaken in close collaboration with
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proteomics, to identify early markers of disease onset and progression. The role centers on three connected themes: using molecular data for prediction, integrating signals across molecular modalities
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. Contribute to the integration and interpretation of complex, longitudinal, and multi-modal datasets. Document analyses and support scientific reporting, including manuscripts, reports, and grant deliverables
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the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). Write first-author
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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opportunities for high-impact publications and grant development. Key Responsibilities Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities