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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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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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(RS) Proficiency in the software packages ArcGIS Pro and ENVI Good communication skills Other Qualifying Skills and/or Abilities Knowledge of R, Python and/or SQL, and the use of LLM prompts Before
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Microsoft environment (i.e. MSWord, Excel, Access, Powerpoint) Experience with Redcap considered an asset High proficiency in using statistical software (i.e. R) Highly self-motivated, excellent time
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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issues. Provides supervision and mentorship to trainees and staff. Teach trainees how to use basic Python and R coding to perform beginner – intermediate level analyses. Present research findings to others
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visualization using basic tools (e.g., Excel, R scripts provided) Report results clearly for review by senior researchers Education and Experience: Candidates should possess: Bachelor’s or Master degree in
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related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods
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coding using R and adeptness in using RStudio for data analysis. Produce comprehensive reports and presentations in PDF and HTML formats using R Markdown. Knowledge of machine learning algorithms
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. Accurately record and update grades on Canvas for student access. Required skills and competencies: Strong skills in coding using R and adeptness in using RStudio for data analysis. Produce comprehensive