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years of relevant research experience is required. Demonstrated experience using R or Python for data processing and/or statistical analysis; ability to work independently in R or Python with limited
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evaluations. Data Management and Knowledge Generation (50%) Use a strong proficiency with SQL as well as a working knowledge of Python, R, Spark, and/or Google Workspace to gather, create, and use datasets
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data with our collaborators at other institutes, and presenting results to the group (see below), and possibly running R scripts for visualization. Lab meetings & communication of results (10%) Our
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(e.g. transcriptomics, metabolomics) Knowledge of machine learning/deep learning algorithms Knowledge of systems biology approaches (e.g. genome-scale modeling) Proficient with R, Python or MATLAB Modes
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the ARRT (R). Dependability. Excellent social and communication skills. Demonstrated critical thinking skills, ingenuity, creativity, and integrity. Demonstrated understanding of all age-appropriate
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software; for example: SAS, R, STATA, or Python Excellent oral and written communication skills Ability to manage multiple projectss Modes of Work Positions that are eligible for hybrid or mobile/remote work
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tasks (10%) EF Utilize software tools and programming languages (e.g., R, STATA) for data analysis tasks (30%) EF Additional responsibilities will include: Organize, prioritize, and communicate status
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health record encounters; using R, Python, and SQL for data analysis and visualization, including base R plot, ggplot, or matplotlib; performing statistical tests (including t-tests and chi-square tests
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essential, along with scripting skills in R and Python for bioinformatics data processing, visualization, and reproducible workflow development. Strong organizational skills are essential, along with
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field. Interest in aging and health disparities research. Familiarity with data analysis or willingness to learn statistical software (such as R or Stata) is preferred. Strong written communication skills