PHARMA

The future of pharma is open source

Open source is changing how drug development happens. Clinical teams are making better decisions, working through clinical trials more confidently, are bringing life-changing drugs to market faster.

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For new talent

Data scientists graduating today expect languages like R and Python to be the backbone of tools used in clinical trials.

For leaders

Leaders responsible for driving innovation across project portfolios and bringing therapeutics to patients faster are training their workforces on open-source tools.

For regulators

Regulators like the FDA are embracing the possibility of freeing the evidence of analysis of beneficial drugs from being locked behind proprietary tools.

"I think the possibility now with open source and particularly something like R, where you've got a tool like Shiny, is you can start to deliver that submission in a different way. I think we'll be sharing the data directly with the regulators in the future, we'll be worried less about how we format that and get it to look really nice on a piece of paper."

Andy Nicholls

Senior Director, Head of Statistical Data Sciences at GSK

Make go/no-go decisions faster

Open source makes innovation the standard at every go/no-go checkpoint, shortening the feedback loop on decisions in clinical trials by months. Use Shiny applications to analyze clinical trial data in interactive ways. Feed dashboards that display the status of trials in real-time. Leverage packages designed specifically for pharma to streamline clinical workflows. Open source gets you from thousands of compounds to one leading molecule faster than ever.

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Manipulate data more efficiently

Every clinical trial produces hundreds of outputs. Pharmaceutical companies are partnering to build and use packages that help programmers automate this process. Open source can get you to SDTM/ADaM datasets quicker. And once you have SDTM/ADaM datasets, use open source for better validation and quality control.

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Submit to the FDA confidently

Open source can and should be used in regulatory submissions. Leading pharmaceutical companies are collaborating with regulatory agencies like the FDA more than ever before, providing guidance and obtaining feedback on how to use open source should be used for submissions. Only open source provides the FDA with complete transparency and reproducibility for clinical trial results, two things that uphold the integrity of great science.

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"There are multiple drivers behind our shift to open-source languages and tools. Data Scientists graduating today expect R and Python to be the backbone of our tools, and our internal experienced data scientists realize and are excited by the new tools and innovations available from this shift."

James Black

Senior Director of Insights Engineering, Roche

Scale Open Source

Posit Team

An all-in-one solution for open-source teams.

The world's leading pharmaceutical companies leverage open-source with Posit Team, a complete toolchain that drives innovation in clinical operations. Build and host Shiny applications and dashboards that give decision makers access to real-time, interactive clinical data, accelerating critical go/no-go decisions. Snapshot and restore versions of packages to maximize the reproducibility of clinical trial analyses.

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Learn R & Python

Posit Academy

Keep pace with industry leaders.

The best talent expects access to open-source tools and workflows. Only Posit Academy teaches programmers in the pharmaceutical space how to adopt and use open-source tools within the context of drug development. Your programmers will work with real datasets, packages built specifically for pharma, on projects related to regulatory submissions.

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"Experiential learnings is key to generating the motivation needed to develop our Data Scientists, and RStudio Academy has been a great ally in this journey."

Gabriella Rustici

Director of Data Science Learning and Development, AstraZeneca

Posit products allow us to deploy R more easily, get started quicker, have confidence that the tools and packages we’re using are accessible and reproducible in the long term, and that we can develop and deploy modern data science products within our company, allowing us to concentrate on better science, faster decision making and getting our medicines to patients more quickly.

Mike Smith

Senior Director of Statistics, Pfizer

We're experts at helping leading pharmaceutical companies implement open-source into complex clinical workflows.

Let us help you understand the tools you should be using and the skills you need to teach your workforce, so you can bring drugs to market quicker and more confidently.

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