1 to 25 of 37 Shiny Jobs

cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative AI and experience using LLMs More ❯

version control (e.g., Git) and a working knowledge of Docker and HuggingFace. Additionally, you will have demonstrable experience in data visualization and creating digital tools and dashboards using R Shiny, Power BI, Tableau, or similar. You must have advanced taught or demonstrated skills in cleaning and analysing satellite-derived data analysis products and GIS data. Experience in the analysis More ❯

and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain and enhance MLOps pipelines, focusing on model robustness and performance. Project Tracking: Manage code and project tracking using Git and Azure DevOps Boards … in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas. visualisation Expertise: Experience with data visualisation tools and frameworks such as Power BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. More ❯

inter-personal skills and experience of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A More ❯

inter-personal skills and experience of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A More ❯

inter-personal skills and experience of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A More ❯

inter-personal skills and experience of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A More ❯

inter-personal skills and experience of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large, structured and unstructured data. A More ❯

ability to interpret data, proactively identify trends, and provide actionable insights through data storytelling and visualizations. Experience using data visualization tools (e.g. Oracle Analytics Cloud, Power BI, Tableau, R Shiny), including how to clean, transform and aggregate data to create meaningful insights. Preferred Experience Knowledge of HR processes and metrics. Experience using statistical computer languages (e.g. Python, SPSS, R More ❯

experience in the past or working with cross functional teams across different geographies Advantageous/Useful skills – Programming and Data processing Spotfire, Tableau, Qlik, IBM Cognos, MicroStrategy, Alteryx, R Shiny, Google Charts, SSRS, Matplotlib, Seaborn, Plotly, Extensive Excel visualisation experience combined with expert SQL (we could potentially consider someone with extensive experience with both Excel visualisations and SQL, as More ❯

a problem-solving mindset and great critical thinking skills Experience in using SQL and either R or Python to analyse data Previous experience of using visualisation software (e.g. Tableau, RShiny, Power BI, Looker) Able to present to stakeholders confidently and good stakeholder management skills. What you will get to work on .key outputs and responsibilities of the role Provide insights More ❯

of working with digital analytics tools and understanding of tracking implementation (e.g. Piano Analytics, Google Analytics, Adobe Analytics) and the ability to create dashboards using tools like Tableau, R Shiny or similar Advanced SQL skills and proficiency in another scripting language e.g. Python, R and experience using big data tools (AWS, Microsoft Azure, Snowflake etc.) Proven team-player who More ❯

in using Python and Git/Github is expected; familiarity with PySpark and Snowpark will be a strong plus Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial Strong communication and presentation skills. Team-player and collaborative ("copy-left" vs "copyright"). Proactive, self-motivated More ❯

in using Python and Git/Github is expected; familiarity with PySpark and Snowpark will be a strong plus Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial Strong communication and presentation skills. Team-player and collaborative ("copy-left" vs "copyright"). Proactive, self-motivated 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 ❯

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 ❯

part of a unified team supporting all businesses. We take a do-it-yourself approach and have built a stack composed of a variety of technologies (e.g. R, Python, Shiny, NoSQL, MySQL, PHP, Go, Subversion). We employ the tools best suited for a given job, and seek individuals who share that philosophy. Our ideal candidate is a polyglot More ❯

We also take an open source approach to end-to-end analysis and depending on the task, a strong working understanding of R and visualisation libraries such as Plotly, Shiny/FlexDashboard & Leaflet. Working experience of a visualisation tool such as Tableau or PowerBI will also stand you in good stead. In a day to day sense you will More ❯

and escalate tasks that might be falling behind. Comfortable using any quantitative programming language (Excel, VBA, R, Python, SQL, SAS, MATLAB). Familiarity with any business insights software (including Shiny, Power BI, Tableau, Markdown, etc.). Unafraid to learn and use new programming languages in two weeks or less. Ability to transform data into actionable insights. Exceptional communication and More ❯

years of experience in Data Management, Biostatistics, and Centralized Monitoring At least 2 years of experience in SAS and at least one of the following: R, Python, Jupyter, SQL, Shiny, Spark and associated packages and libraries Full professional proficiency in English Strong analytical and logical thinking Communication and collaboration skills Nice to have: Experience with CluePoints RBM system and … ELT/ETL processes Knowledge of statistical methods, data analysis, and Machine Learning techniques Experience with database engineering, product testing and validation, and Shiny development Additional Information What we offer: We value your time so the recruitment process is as quick as 3 meetings We'll prepare you to do your job at the highest quality level with our More ❯

Design, develop, test and deploy interactive R Shiny web applications. Worked on R packages like Data.Table, dplyr, tidyr, ggplot2, shiny dashboard among others. Write clean, efficient and well documented R code, conduct R code reviews and R programming validation Implement unit tests and ensure the quality and performance of applications. Benchmark and optimize application performance. Identify inconsistencies and More ❯

the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Principal Biostatistician - RShiny Specific:Sets up and maintains excellent R-based computing environment. Adds missing features to apps and fixes bugs in existing apps. screens the market for supplied data visualization tools and … performs user trainings and is available for user support on demand. Is up to date with the latest technical possibilities available on the global market. Excellent R and R-shiny knowledgethorough experience in clinical data structures and programming with dataexpert in functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing More ❯

programs used for SDTM and ADaM datasets, as well as Tables, Listings, and Figures (TLFs), into R Packages. The position also involves developing parameterized R Markdown reports and interactive Shiny dashboards to enhance clinical data visualization and reporting. Additionally, the candidate will design and implement CDISC-compliant data pipelines using both R and SAS, employing PROC SQL and MACROS … will involve occasional travel to events throughout the year. Responsibilities Convert legacy SAS programs for SDTM/ADaM datasets and TLFs to R Develop parameterized R Markdown reports and Shiny dashboards for clinical data visualization Implement CDISC-compliant data pipelines using both R and SAS (PROC SQL, MACROS) Create bidirectional SAS-R validation frameworks using various packages Maintain hybrid … Biostatistics to transition SAS PROC MIXED models Support regulatory submissions with dual-format (SAS XPT/RDS) datasets Qualifications Clinical SAS experience (PROC SQL, MACROS, ODS) R- Programming & R-shiny Portfolio demonstrating SAS-to-R conversions SDTM/ADaM implementations TLF generation Clinical data checks & Deep understanding of: Clinical trial protocols, MedDRA/WHODrug coding in both languages, & SAS More ❯

regulatory requirements. Experience supporting regulatory submissions and HTA dossiers is a plus. Ability to work independently with excellent communication and leadership skills. Preferred Skills Proficiency in R, Python, Java, Shiny, Markdown, Unix/Linux, git. Additional Details Location: London, England, United Kingdom Employment type: Full-time Seniority level: Mid-Senior level Job function: Information Technology Industries: Software Development #J More ❯

act as functional manager for local associates including providing supervision and advice to these programmers on functional expertise and processes. Key skills HTA, RWE, HE OR, R/R-Shiny, SAS, Statistics, Leadership Collaborate with cross-functional teams, discuss status of deliverables and critical programming aspects (timelines, scope, resource plan) Review eCRF, discuss data structures and review activities, ensure More ❯