Posit PBC

Ready to dive into the future of open-source drug development? Join experts from Genentech, GSK, JnJ, Novartis, Roche, Posit, and more at the R/Pharma events at posit::conf(2025) in Atlanta starting September 15th! Attend the R/Pharma Summit on September 15th for pharma leaders and managers focused on open-source initiatives and discussions on reproducibility, submissions, and scalability. Workshops on September 16 include: 1. "End-to-End Submissions in R with the Pharmaverse" led by Daniel Sjoberg (Genetech) and Becca Krouse (GSK). 2. "Deploying Reproducible Analytics Environments for Regulated Use Cases" led by James Black (Novartis) and Doug Kelkhoff (Roche). And stay for the general conference on September 17-18 for pharma related talks, keynotes, and networking with over 1,000 data experts. Don't miss this chance to be at the forefront of open-source transformation in pharma! Register now to secure your spot and connect with like-minded peers Learn more at https://lnkd.in/gvN7CaX8.?

We're thrilled to celebrate the latest release of the admiral 1.2, a crucial #RStats tool for developing ADaM datasets in the pharmaceutical programming community! This release marks another significant step in making clinical trial data analysis more efficient and collaborative. To commemorate this milestone, we've gathered insights from some of the brilliant minds behind admiral: Edoardo Mancini (Roche), Ben Straub (GSK), Stefan Bundfuss (Roche), and Fanny Gautier (Cytel). Their perspectives shed light on the collaborative spirit, challenges overcome, and the bright future of admiral. admiral is more than just a package; it's a community-driven effort transforming how we approach clinical trial data. Learn about its modularity, impact, and the vision driving its development in our blog post: https://lnkd.in/g5igxdx2 Don't miss the exciting discussions around admiral at the upcoming PHUSE US Connect (March 16-19)! We at Posit look forward to connecting with you there.

Are you a Shiny Developer? Don't miss ShinyConf 2025! Appsilon and the ShinyConf program committee have announced the agenda, and Posit is excited to be among the speakers unveiling advancements and practical applications of Shiny, especially in the rapidly evolving world of AI. A huge thank you to Appsilon for making this fantastic event possible for the Shiny community. Posit speakers include:? - Winston Chang, Keynote: AI and Shiny - Barret Schloerke, AI Kung-Fu: Training your model in Two Function Calls - Carson Sievert, Building LLM-Powered Shiny apps via ellmer and chatlas - Daniel Chen, Creating and Sharing Scalable Applications with Shiny - Garrick Aden-Buie, Theming Made Easy: Introducing brand.yml for Shiny - Isabella V., Choosing the right tool for interactive dashboards: flexdashboard, Quarto, or Shiny - Charlie Gao, Scaling Shiny: Seamless and Effortless Distributed Computing with mirai - Alex Chisholm & Kelly O'Briant O’Briant, Scaling Shiny: From Hobbyist Projects to Enterprise Deployments with Posit Connect Learn more about Posit's speakers are ShinyConf 2025, April 9-11, on the Posit Blog: https://lnkd.in/gQVH-CSD

?? HAPPENING TODAY: Johnson & Johnson is sharing their open-source journey in clinical submissions! ?? Join via: https://lnkd.in/g9BwPbXz In just a few hours, J&J's data science team will reveal how they've transformed late-stage clinical trials through open-source R adoption. This isn't just another tech implementation; it's a complete shift that's redefining how pharma's largest players are approaching drug development. Why this matters: As the industry moves toward more collaborative, transparent approaches to clinical research, J&J is creating a playbook that others can follow. Their journey offers actionable insights for companies looking to modernize their clinical workflows. Join us today at 12 PM ET to learn: -How they overcame challenges adopting R and open-source tooling -Benefits of the R ecosystem in clinical submissions -Their R roadmap and adoption goals for 2025 -How they're contributing to the broader pharmaverse community

Week 4 of PydyTuesday takes us to infinity and beyond! ?? This week's TidyTuesday dataset explores Pixar films over the years, from box office performance to critical reception and everything in between! Uncover insights about your favorite animated classics through the lens of data. Dig into questions like: ? Which Pixar films earned the highest ratings across different review systems?? ? How do box office numbers in North America compare to worldwide performance?? ? Can you spot trends in Pixar's success over time?? ? What patterns emerge when comparing ratings to financial performance? ?? Get the data: https://lnkd.in/gSRA94D8 ?? Learn more about Posit's PydyTuesday project: https://lnkd.in/g_VHKkNf ?? Posit PydyTuesday Tutorials: https://lnkd.in/gXCnXKbX ?? Write clean code in Positron,? ?? Build beautiful reports in Quarto,? ?? Share instantly via Connect Cloud! Post your submissions to LinkedIn or Bluesky with the hashtags #TidyTuesday and #PydyTuesday for a chance for your work to be featured!

Ever needed to share documentation that caters to both R and Python users? We explore how to do just that with Quarto! Check out two options for creating your multilingual documentation: ? Grouped Tabsets: Synchronize language tabs across your documentation with this built-in Quarto feature. ? Tabby Extension: Use this extension by James Balamuta, Ph.D. for automatic tabset creation and synchronization. Make your documentation more user-friendly, no matter your team's preferred language, with Quarto ? Read more in the blog post: https://lnkd.in/g2CZkiEt #Quarto #RStats #PythonProgramming

We're excited to announce that a new release of odbc is on CRAN! The goal of the odbc package is to provide a DBI-compliant interface to ODBC drivers. This makes it easy to connect databases such as SQL Server, Oracle, Databricks, and Snowflake. This latest release includes: ? An awesome new hex logo thanks to Edgar Ruiz ? Viewer-based credentials on Posit Connect for `databricks()` and `snowflake()` ? A new `redshift()` helper to simplify connections to Amazon Redshift clusters ? Many QOL improvements for Databricks, Snowflake, MSSQL, etc. Read more in the release notes: https://lnkd.in/gpz5qMur

Are you local to Sacramento and working in the Public Sector? If yes, we’d love to have you join Snowflake and us for breakfast! ?? On March 20th, join us for a local meetup with other professionals in the Public Sector as we discuss topics surrounding: ?? Data strategy ?? Unlocking AI, ML, and app innovation ?? Recent advancements to the Snowflake and Posit partnership Join us for this free event by simply signing up using the link below. We look forward to seeing you! ?? https://lnkd.in/grRFxWFF

Posit + Pharma + Orlando = PHUSE US 2025! ?? We are thrilled to be participating in this flagship event in Orlando on March 16-19, where we’ll be hosting the following workshops and sessions: ? 3/16 2:30-4:00 PM | Workshop: Next Generation Clinical Workflows in R with Posit Team? ? 3/19 9-9:30 AM | Positron: Overview for Pharma? ? 3/19 12-12:30 PM | Posit Team: Metadata-Driven Risk Assessment and Surfacing Validated R Packages Learn more about what you can expect from Posit during the conference and who you might find at our booth or in the hallways!

Simon P. Couch has been exploring the fascinating intersection of Large Language Models (LLMs) and R package development, and the results are truly inspiring! He's shared his journey and the experimental packages he's created on the tidyverse blog: https://lnkd.in/gTJvPWer He discusses three new R packages, chores, ensure, and gander, designed to boost productivity in R package development and data science by automating repetitive tasks using Large Language Models (LLMs). ? chores (previously pal): Automates tasks via keyboard shortcuts, like updating testing code and drafting roxygen documentation. ? ensure: Focuses on writing unit tests by understanding function arguments from the entire file and neighboring files. ? gander: A chat interface that allows models to "see" the data being worked on, tailoring responses for data scientists. These packages are still experimental, but they showcase the immense potential of LLMs to revolutionize our workflows. Try out ellmer, chores, ensure, and gander yourself, and share your experiences!