Event Details

Who is this event intended for?: Anyone interested in the practicalities of moving to R/open-source (covering all levels and types of statistician/programmer)


What is the benefit of attending?:

  • To hear how a wide range of companies have approached moving to R/Open source.
  • To focus on and discuss all of the particular topics of change management in this space.
  • To be sent away well equipped to have the conversations about change management within your particular context.


Transitioning to R/Open-Source represents a large, complex, and potentially chaotic change, often characterized by fear, uncertainty, and doubt. There are often numerous discussions around specifics (R validation, Shiny applications, and regulatory submission) or larger pharma companies talking about their specific move to R, but not much in the way of focusing on each of the particular topics of change management in this space and applying this to different sizes and types of companies so all can fully benefit.


Dive into this one-day event with comprehensive sessions covering essential topics such as:


  • Best way to train
  • Creating a vision and plans
  • Making the case to senior management
  • How to address statistical aspects (Equivalency of methods, availability of functionality, comparability, Stat Analysis Plans, QC)
  • Programming specific aspects (Environment, existing code base, validation)
  • Find your change agents
  • Dealing with strong feelings during a significant change (fast pace, fear, overexcitement, instability)


Whether you're a decision-maker, leader, methodological statistician, or keen programmer, this event is designed to equip you with the knowledge and tools needed to approach this transition. Come and be part of an interactive day, share experiences, and hear from other companies about how they are managing the change. Go home knowing how to approach this change and how to initiate conversations with colleagues and management. Register now to secure your spot and take steps towards embracing open-source solutions confidently!


Venue: Astra Zeneca Discovery Centre, Biomedical Campus, 1 Francis Crick Ave, Trumpington, Cambridge CB2 0AA, United Kingdom

Jul 3, 2025

09:30 - 17:30 GMT+1

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The Discovery Centre (DISC) - AstraZeneca
Biomedical Campus
Francis Crick Avenue 1
Trumpington

Cambridge CB2 0AA, England, United Kingdom

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Speakers

  • Mike Smith (Senior Director Statistics of Pfizer)

    Mike Smith

    Senior Director Statistics of Pfizer

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  • Andy Nicholls (Senior Director, Head of Data Science at GSK)

    Andy Nicholls

    Senior Director, Head of Data Science at GSK

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  • Martin Brown (Associate Statistical Science Director of PPD)

    Martin Brown

    Associate Statistical Science Director of PPD

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  • SM

    Stuart Malcolm

    Head of Standards, Efficiency and Automation at Veramed

  • Yannick Vandendijck (Principle Statistician at Johnson & Johnson)

    Yannick Vandendijck

    Principle Statistician at Johnson & Johnson

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  • Ruhul Amin (Director, Specialist Programming in Data Automation, Clinical Data and Insights of Astrazeneca)

    Ruhul Amin

    Director, Specialist Programming in Data Automation, Clinical Data and Insights of Astrazeneca

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  • KM

    Kieran Martin

    R Enablement Lead: PD Data Sciences at Roche

  • Colin Gillespie (Co-Founder of Jumping Rivers)

    Colin Gillespie

    Co-Founder of Jumping Rivers

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  • Sebastia Barcelobauza (Associate Director, Statistical Programming of Cytel)

    Sebastia Barcelobauza

    Associate Director, Statistical Programming of Cytel

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