R/R Shiny Developer in Clinical Trials.

Job Description

Actual position's title: Clinical Data Scientist Reporting to the Clinical Data Science Manager, the Clinical Data Scientist is an integral part of our team here at PSI. You will work with clinical trials patient and operational data, develop new data solutions and set up Risk-based Monitoring systems in Process Improvement department. Hybrid work in Sao Paulo Setting up and maintaining risk-based monitoring (RBM) systems and analytical tools in collaboration with Central Monitoring Managers and Medical teams. Developing and programming Key Risk Indicators (KRIs), Quality Tolerance Limits (QTLs), and Tables, Figures, and Listings (TFLs) to enable proactive trial oversight Programming and maintaining interactive dashboards and Patient Profiles using R and R Shiny to visualize clinical trial data and support medical review and risk assessment Participating in managing and transforming complex datasets from multiple sources and integrating them into the PSI data platform for analysis Advising on and contributing to the development of new tools and methodologies for clinical trial analytics and risk-based monitoring Ensuring compliance with regulatory standards, quality expectations, and best practices in clinical trial data management Collaborating cross-functionally to identify study-level challenges and deliver tailored data-driven solutions

Qualifications

Must have: Degree in Data Science, Mathematics, Statistics, Computer Science or equivalent Minimum 4 years of R and R Shiny programming experience in Clinical/Pharmaceutical domain Experience in custom R Shiny application development, preferably using structured frameworks such as golem, with a solid understanding of modular architecture and functional programming practices. Proven proficiency in one or more R visualization and reporting packages, such as shiny, R Markdown. Solid data wrangling skills in R, with hands-on experience using packages such as dplyr, lubridate. Experience working with diverse data sources, including relational databases, Excel files, and SAS datasets. Practical experience in developing and maintaining R packages, with a focus on reusability, robustness, and collaborative development. Familiarity with version control workflows, including Git and working within a central code repository. Full professional proficiency in English Strong analytical and logical thinking Communication and collaboration skills Nice to have: Experience in data engineering area including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling Experience in R Shiny frontend customization using CSS and JavaScript for enhanced user interface and interactivity. Object-oriented programming for R ~ R6 [R] Azure Services: DevOps, Synapse Atlassian Products: Jira, Confluence Experience with CluePoints RBM system Knowledge of statistical methods and techniques for analyzing data Experience using Machine Learning technics and products testing and validation