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taxonomy in AI-assisted workflows Prototype and test automated classification scripts (Python/R) Document data pipelines and QA/QC procedures Supervision & Training Mentor PhD-level and undergraduate RAs
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
flexible but earliest from October 1st 2025. Selected recent publications from the group relevant to the projects Cancer: Tuysuz E. C., Mourati E., Rosberg R., Gialeli C., Johansson E., Governa V., Belting M
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clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological techniques (e.g., transcutaneous magnetic stimulation, near infrared spectroscopy, evoked potentials, electromyography
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, analyzing and interpreting common stroke and/or TBI rehabilitation assessments and treatments Experience in analyzing clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological
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assessments and treatments Experience in analyzing clinical data with statistical methods (e.g., R, SPSS) Experience in neurophysiological techniques (e.g., transcutaneous magnetic stimulation, near infrared
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simulations and data analysis, detector and electronics R&D, and experiment-related operations, including: Participating in data collection including shift-taking at PSI Participating in detector and experiment
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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administrative heath and economic data. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R), possibly theory development, simulation studies
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such as R or Python. The ideal candidate will be comfortable working with large geospatial datasets and interested in collaborating as part of a team on various CanN2ONet modelling initiatives. Experience