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datasets. Advanced skills in machine Learning, data analysis, and model implementation using R and/or Python. PhD in a health-related discipline required. Candidates with backgrounds in pharmacy
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precision medicine algorithms for critically ill patients using EHR data. We are looking for a full-time data analyst with proficiency in R and python, and the ability to take machine learning projects from
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, tables, and reports to support scientific findings. The role requires strong programming skills (e.g., in R or Python), familiarity with imaging and omics data formats, and the ability to work
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, coding, and analysis using software such as STATA or R and NVivo, Atlas.ti, or Dedoose. Format and visually enhance intervention curricula, study documents, and project materials with attention
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management systems such as, Oracle, Microsoft SQL Server, MySQL preferred. Experience with statistical packages such as, SAS, SPSS, R preferred. Emory is an equal opportunity employer, and qualified applicants
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research and policy. 3) Apply cutting-edge machine learning techniques using programming languages (R and/or Python) to develop predictive models and scalable data analysis solutions. 4) Prepare manuscripts
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at least 1 programming language (e.g. R, SAS, Python), has proficiency in statistical theory and underlying mathematical distributions, and expertise in querying relational databases with SQL. They have
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business plan to include MR&R, Capital Renewal Planning and Emergency Response Planning. Monitors and directs work flow by observing and reviewing work performed by staff to ensure efficiency, timely
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, including importing data, conducting data quality checks, and generating reports to monitor enrollment, data collection and data cleaning using REDCap, R and SAS. Develop and revise, as-needed, data
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science discipline preferred Demonstrable experience writing code to solve biological problems R/Bioconductor and Python proficiency highly preferred Experience working with RNA-Seq is a significant strength