21 of 21 Permanent Shiny Jobs

modeling. Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL. Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models. Preferred Experience: Preferred: Experience with cloud computing/storage, data lakes/warehouses. Preferred: Experience with Spark and ML applications. More ❯

frameworks such as Spark and Hadoop to conduct large-scale data processing Perform statistical modeling and create compelling data visualizations using products like Tableau, Microsoft Power BI, and R Shiny Research, design, and implement algorithms to solve complex problems Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages Perform data engineering, data processing, and modeling techniques using More ❯

frameworks such as Spark and Hadoop to conduct large-scale data processing Perform statistical modeling and create compelling data visualizations using products like Tableau, Microsoft Power BI, and R Shiny Research, design, and implement algorithms to solve complex problems Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages Perform data engineering, data processing, and modeling techniques using More ❯

this analysis in both parametric and non-parametric forms Excellent IT skills including fluency with all Microsoft packages, particularly Excel, Word, PowerPoint, PowerBi. Experience in R programming language, including RShiny and/o RMarkdown. Knowledge and proficiency in working with database systems (SQL/PostgreSQL) and writing performant SQL queries. Experience in data manipulation, data cleaning and preparation. Experience in More ❯

tools to enhance data engineering workflows (e.g. automated testing, code optimization, data quality monitoring, or intelligent alerting) Some R experience, and a willingness to help support a legacy R Shiny application is an advantage but not necessary Familiarity with tools such as GitHub Copilot, AWS AI services, or open-source LLMs for development support Mentoring from experienced colleagues and More ❯

Role: R & Shiny Engineer Work location : Stevenage (Preferred),London Hybrd ,minimum 2 days per week Role/Job Title: R Admin Must Have Skills: R R Package Development Kubernetes Docker Azure DevOps The Role Your Responsibilities: Establishing and maintaining central repositories for R packages Working with development teams to facilitate package development and deployment Configuring and managing package sources More ❯

AWS Redshift, Databricks- delta Lake, Unity catalog, Data Engineering and processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager, AWS Data Firehose, Kafka, Hive, Hue, Oozie, Sqoop, Git/Git Actions, IntelliJ, Scala Responsibilities of the Data Engineer (AWS): Act as an More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data integration practices. Ability to prioritize … statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R libraries for analysis and visualization. Basic knowledge of Python and/or other programming languages (e.g., C++, Java) is a plus. Familiarity with cloud platforms, data More ❯

our mission to shape the future of clinical development. Develop data analysis solutions for complex business problems in collaboration with biostatisticians and statistical programmers, using tools such as R Shiny or Python-based web applications. Ensure technical validity, compliance to the sponsor's standards, SOPs and regulatory requirements. Test, debug and optimize applications to ensure that they work as … or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. at least 6 years of programming experience (3+ for R, R Shiny) in analyzing and visualizing clinical trial data in the pharmaceutical industry, producing deliverables for submission. Advanced statistical computing software skills (e.g., SAS, R and R Shiny Framework) in … multiple therapeutic areas, thorough understanding of relational databases and their correlation to submission-ready database structure (CDISC data structure requirements). Demonstrated programming experience and proficiency with R, R Shiny, tidyverse packages and R Markdown in building advanced R packages and modular Shiny apps (or other development stack). Excellent knowledge of Good Programming Practices and CDISC standards. More ❯

and applications. Knowledge of SQL and experience in databases such as Oracle, Sybase, or Access would be beneficial; Proficiency in excel/VBA and programming languages: R/R Shiny (required), Python and C++; Exemplary communication skills that implement good listening techniques, and strong verbal skills with the ability to communicate across a wide range of groups and personalities … the needs of a diverse team. Preferred Qualifications Masters or advanced degree preferred; Knowledge of financial or credit risk modelling preferred; Proficiency in R language and the creation of shiny applications and dashboards; and Persistent with a natural curiosity about credit markets and technical details. Competencies A self-starter who can work independently, but also able to collaborate with More ❯

role - Open to hiring in Canada or Europe where no sponsorship is required. Not open to hiring in the US. Description Sr. R Programmer (TEAL Module Development - R/RShiny) Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market More ❯