21 of 21 Shiny Jobs

Knowledge of Tibco Spotfire or similar BI software tool such as Tableau, QlikView, Microsoft Power BI, etc. Technical knowledge of SharePoint set up. Knowledge of Iron Python, R, R Shiny SAS or similar scripting languages. Experience in pharma & life sciences industry is preferred Additional following competencies: Excellent problem solving and decision-making skills. Strong planning, organizational and project management 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 ❯

and presentation of findings to stakeholders Using R, Python and GCP tools to answer and automate business problems Development and maintenance of existing data products (applications developed in R Shiny and Streamlit Stay up-to-date with industry trends, best practices, and emerging technologies in (digital) analytics and insights This role sits within our data team and reports into More ❯

/service or product marketing manager, business analyst in an IT product company Skills and competencies were looking for Excellent knowledge of business metrics Experience with Google Analytics/Shiny/Tableau or any other analytical tool Expertise in MS Excel, PowerPoint Solid analytical skills and data-driven decision making: being used to working with numbers most of the More ❯

and experience with database languages (e.g., SQL). Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing. Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way. Strong communication and interpersonal skills, with a passion for continuous learning and personal development. Travel 0-10% Wir bieten More ❯

and experience with database languages (e.g., SQL). Strong knowledge of statistical techniques such as regression, classification, and hypothesis testing. Ability to create clear, insightful visualizations (e.g., ggplot, R Shiny, Data Studio) and present complex topics in an understandable way. Strong communication and interpersonal skills, with a passion for continuous learning and personal development. Travel 0-10% Wir bieten More ❯

Join to apply for the Data Scientist, Analytics (R Shiny) role at Argus Media Join to apply for the Data Scientist, Analytics (R Shiny) role at Argus Media Argus is where smart people belong and where they can grow. We answer the challenge of illuminating markets and shaping new futures. What we’re looking for As aData Scientist … Analytics), you will play a key role in advancing Argus’automaticmachinelearning (ML) andartificialintelligence (AI) capabilities, with a specific focus onproduction-level R Shiny development. You will work on some of the most innovative and impactful data science products in the industry, such asThe Argus Data Science Studio. https://www.argusmedia.com/en/products-platforms/argus-platforms … trading, hedging and risk management decisions using our rich and diverse data sets.You willbe responsible for leading thedevelopmentand maintenance ofthe user interface and functionality of the tool using R Shiny, ensuring a smooth and intuitive user experience. Much of the algorithms involve programming in R. We envisage that Python will also be used in the future. What Will You 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 ❯

ETL platforms, with knowledge of SQL. Familiar with BI tools such as Tibco Spotfire, Tableau, QlikView, Power BI, and SharePoint setup. Proficient in scripting languages like IronPython, R, R Shiny, SAS, or similar. Preferred experience in pharma & life sciences industry. Possessing competencies in problem-solving, decision-making, planning, organization, project management, communication, customer focus, innovation, partnership, leadership, process improvement More ❯

/R Shiny. Understanding of end-to-end clinical trial processes is mandatory. Experience with late-phase and RWE studies is desirable. Proven ability to apply R and R-Shiny for analysis and reporting, with skills in data visualization and wrangling. Knowledge of industry standards like CDISC data structures. Deep understanding of clinical trial phases and drug development process. More ❯

5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience PREFERRED QUALIFICATIONS - 3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data More ❯

applications (e.g. PowerApps) into geospatial services Skilled in least one of the following to develop custom geospatial applications, including Esri APIs where relevant: Python, JavaScript, SQL, and R/Shiny Proficient in utilising Microsoft Azure services for cloud-based solutions (or similar) Successfully leading a small team to deliver technical tasks and geospatial services Customer focussed approach to quality 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 ❯

end-to-end Clinical Trials in Statistical Programming is mandatory. Exposure to Late Phase & Real-World Evidence (RWE) studies is highly desirable. Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials, with the ability to reproduce statistical analysis using R. Strong skills in data visualization and data wrangling using R, including proficiency … with R packages for data exploration and visualization. Application of statistical methodology and concepts in clinical trial analysis, including experience with R-Shiny apps for data exploration. Advanced knowledge of industry standards including CDISC data structures and a solid understanding of the development and use of standard programs. In-depth understanding of the phases of clinical trials and the More ❯

sequence analysis concepts (alignment, assembly, QC) Experience with large-scale genomic data processing and public genomic repositories Ability to develop intuitive web-based reporting or visualization tools (e.g., R Shiny, Streamlit) Clean, maintainable, production-grade coding practices Preferred Qualifications: Experience developing performant software in a compiled language (C++, Rust, etc.) Interest in advanced data visualization and intuitive UX 1+ More ❯

years of experience with different data consumption techniques from traditional to more advanced analytics and AI perspective. (Power BI, Tableau, Machine Learning, ) Power BI means more to you than shiny graphs (and pie charts). You are eager to dive into platforms like Azure Synapse, Azure Data Lake or Databricks. You have strong command of SQL & Python. You are 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯