I am looking for an experienced R developer / data visualization specialist to build an automated participant report pipeline based on longitudinal symptom data collected in REDCap (or exported to Excel). The goal is to create a clean, professional, participant-facing report template that my research team can reuse efficiently across participants. The report should automatically populate graphs and other standardized content from the data, while leaving a small written summary section for my team to complete manually. I expect Quarto may be the best platform for this, but I am open to other solutions if there is a strong rationale. The attached sample report shows the general structure and level of polish I am aiming for. Project goals: -Build an automated report workflow using R -Generate polished participant-facing reports from REDCap or Excel data -Create clear, professional visualizations, primarily line graphs and some simple comparative charts -Develop a reusable template that can be run easily by research staff -Ensure the final workflow is well-organized and straightforward for non-programmers on the team to use Deliverables: -A working automated report template -Clean, professional report styling suitable for participant-facing use -R code/scripts that my team can reuse -Brief documentation or instructions for how to generate reports Ideal qualifications: -Strong proficiency in R -Experience with ggplot2 -Experience with Quarto or R Markdown for automated reporting -Experience building reproducible reporting pipelines -Comfort working with longitudinal or repeated-measures data -Familiarity with REDCap data is an asset Please provide examples of similar previous work, especially automated reports, Quarto/R Markdown projects, or polished participant/client-facing outputs.