Date: Every Monday & Friday (weekly) from Monday 29th January - Friday 1st March 2024 Time: Mondays 10:00-12:00 GMT | Fridays 10:00-11:00 GMT Location: Online via Zoom Presenters: Andrew Nicholls and Alanah Jonas (GSK)
Who is this event intended for? This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context. What is the benefit of attending? Attendees will learn how to: understand data manipulation in R via the “Tidyverse”; produce R graphics with ggplot2; and perform & interpret basic statistical analyses in R.
Session Dates
Main session: Monday 29th January | Drop-in Q&A session: Friday 2nd February
Main session: Monday 5th February | Drop-in Q&A session: Friday 9th February
Main session: Monday 12th February | Drop-in Q&A session: Friday 16th February
Main session: Monday 19th February | Drop-in Q&A session: Friday 23rd February
Main session: Monday 26th February | Drop-in Q&A session: Friday 1st March
Cost
Early Bird PSI Members = £320+VAT Early Bird Non-Members = £430*+VAT *Please note: Early Bird prices expire at 17:00 on Friday 22nd December.
Standard PSI Members = £360+VAT Standard Non-Members = £470*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
Registration
To register your place, please click here.
Please note:-
Back by popular demand, this Course is a re-run from 2021. Places are therefore limited, and so we do kindly ask you to consider all dates & times before registering.
For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 December 2024, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member, and the event itself, you must not apply or pay for an individual membership of PSI. Similarly, it is your responsibility to ensure that you will not be included in your company's group membership/renewal.
Membership awarded as part of the Non-Member registration fee is non-refundable, and will not be applied until after the first session.
Overview
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.
This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.
Participation will provide access to extensive course materials in the form of a ‘bookdown’ site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
Topics covered include:
Introduction to R and Rstudio
Data types and vectors
Welcome to tidyverse
Importing/exporting data
Handling data
Piping
Summaries and aggregation
Setting and merging
Transposing data
Introduction to statistical analysis in R
R graphics with ggplot2
Speaker details
Speaker
Biography
Andrew Nicholls
Andy Nicholls has been an R user and advocate for over 15 years. He is currently Head of Data Science within GSK’s Biostatistics function and responsible for driving R adoption, with a remit covering systems, tools and training. As part of this role, Andy developed GSK’s internal original world-wide R training programme which forms the backbone of this PSI course.
Andy’s professional background includes 6 years working for Mango Solutions, a niche Statistics and Data Science consultancy that specialised in R. During his time at Mango, Andy taught several hundred face to face and virtual R training courses. And in 2015 he co-authored, “R in 24 Hours” with two Mango colleagues. Andy has an MMath Mathematics from University of Bath and MSc Statistics with Applications in Medicine from University of Southampton.
Alanah Jonas
Alanah attended the University of Nottingham, where she earned her integrated master’s degree in Mathematics with Statistics in 2018. Upon completing her degree, she secured a graduate position at Amadeus Software. During her tenure there, she underwent three months of intensive SAS training before being placed at GSK.
Her journey at GSK began in the Biostatistics department, specifically in Clinical Programming. Over the course of three years, she honed her expertise in this specialized field. She seized the opportunity for a secondment in the Statistical Data Science and Innovation Hub, serving as a Principal Data Scientist. During her time at GSK, Alanah has had first-hand experience in both delivering and participating in various R training methods. Most recently, she has been working on the AccelerateR initiative where she provides small group, tailored, just in time training for study teams with mentoring and support.
Scientific Meetings
PSI Training Course: R for Clinical Trial Statisticians
Date: Every Monday & Friday (weekly) from Monday 29th January - Friday 1st March 2024 Time: Mondays 10:00-12:00 GMT | Fridays 10:00-11:00 GMT Location: Online via Zoom Presenters: Andrew Nicholls and Alanah Jonas (GSK)
Who is this event intended for? This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context. What is the benefit of attending? Attendees will learn how to: understand data manipulation in R via the “Tidyverse”; produce R graphics with ggplot2; and perform & interpret basic statistical analyses in R.
Session Dates
Main session: Monday 29th January | Drop-in Q&A session: Friday 2nd February
Main session: Monday 5th February | Drop-in Q&A session: Friday 9th February
Main session: Monday 12th February | Drop-in Q&A session: Friday 16th February
Main session: Monday 19th February | Drop-in Q&A session: Friday 23rd February
Main session: Monday 26th February | Drop-in Q&A session: Friday 1st March
Cost
Early Bird PSI Members = £320+VAT Early Bird Non-Members = £430*+VAT *Please note: Early Bird prices expire at 17:00 on Friday 22nd December.
Standard PSI Members = £360+VAT Standard Non-Members = £470*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
Registration
To register your place, please click here.
Please note:-
Back by popular demand, this Course is a re-run from 2021. Places are therefore limited, and so we do kindly ask you to consider all dates & times before registering.
For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 December 2024, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member, and the event itself, you must not apply or pay for an individual membership of PSI. Similarly, it is your responsibility to ensure that you will not be included in your company's group membership/renewal.
Membership awarded as part of the Non-Member registration fee is non-refundable, and will not be applied until after the first session.
Overview
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.
This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.
Participation will provide access to extensive course materials in the form of a ‘bookdown’ site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
Topics covered include:
Introduction to R and Rstudio
Data types and vectors
Welcome to tidyverse
Importing/exporting data
Handling data
Piping
Summaries and aggregation
Setting and merging
Transposing data
Introduction to statistical analysis in R
R graphics with ggplot2
Speaker details
Speaker
Biography
Andrew Nicholls
Andy Nicholls has been an R user and advocate for over 15 years. He is currently Head of Data Science within GSK’s Biostatistics function and responsible for driving R adoption, with a remit covering systems, tools and training. As part of this role, Andy developed GSK’s internal original world-wide R training programme which forms the backbone of this PSI course.
Andy’s professional background includes 6 years working for Mango Solutions, a niche Statistics and Data Science consultancy that specialised in R. During his time at Mango, Andy taught several hundred face to face and virtual R training courses. And in 2015 he co-authored, “R in 24 Hours” with two Mango colleagues. Andy has an MMath Mathematics from University of Bath and MSc Statistics with Applications in Medicine from University of Southampton.
Alanah Jonas
Alanah attended the University of Nottingham, where she earned her integrated master’s degree in Mathematics with Statistics in 2018. Upon completing her degree, she secured a graduate position at Amadeus Software. During her tenure there, she underwent three months of intensive SAS training before being placed at GSK.
Her journey at GSK began in the Biostatistics department, specifically in Clinical Programming. Over the course of three years, she honed her expertise in this specialized field. She seized the opportunity for a secondment in the Statistical Data Science and Innovation Hub, serving as a Principal Data Scientist. During her time at GSK, Alanah has had first-hand experience in both delivering and participating in various R training methods. Most recently, she has been working on the AccelerateR initiative where she provides small group, tailored, just in time training for study teams with mentoring and support.
Training Courses
PSI Training Course: R for Clinical Trial Statisticians
Date: Every Monday & Friday (weekly) from Monday 29th January - Friday 1st March 2024 Time: Mondays 10:00-12:00 GMT | Fridays 10:00-11:00 GMT Location: Online via Zoom Presenters: Andrew Nicholls and Alanah Jonas (GSK)
Who is this event intended for? This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context. What is the benefit of attending? Attendees will learn how to: understand data manipulation in R via the “Tidyverse”; produce R graphics with ggplot2; and perform & interpret basic statistical analyses in R.
Session Dates
Main session: Monday 29th January | Drop-in Q&A session: Friday 2nd February
Main session: Monday 5th February | Drop-in Q&A session: Friday 9th February
Main session: Monday 12th February | Drop-in Q&A session: Friday 16th February
Main session: Monday 19th February | Drop-in Q&A session: Friday 23rd February
Main session: Monday 26th February | Drop-in Q&A session: Friday 1st March
Cost
Early Bird PSI Members = £320+VAT Early Bird Non-Members = £430*+VAT *Please note: Early Bird prices expire at 17:00 on Friday 22nd December.
Standard PSI Members = £360+VAT Standard Non-Members = £470*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
Registration
To register your place, please click here.
Please note:-
Back by popular demand, this Course is a re-run from 2021. Places are therefore limited, and so we do kindly ask you to consider all dates & times before registering.
For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 December 2024, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member, and the event itself, you must not apply or pay for an individual membership of PSI. Similarly, it is your responsibility to ensure that you will not be included in your company's group membership/renewal.
Membership awarded as part of the Non-Member registration fee is non-refundable, and will not be applied until after the first session.
Overview
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.
This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.
Participation will provide access to extensive course materials in the form of a ‘bookdown’ site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
Topics covered include:
Introduction to R and Rstudio
Data types and vectors
Welcome to tidyverse
Importing/exporting data
Handling data
Piping
Summaries and aggregation
Setting and merging
Transposing data
Introduction to statistical analysis in R
R graphics with ggplot2
Speaker details
Speaker
Biography
Andrew Nicholls
Andy Nicholls has been an R user and advocate for over 15 years. He is currently Head of Data Science within GSK’s Biostatistics function and responsible for driving R adoption, with a remit covering systems, tools and training. As part of this role, Andy developed GSK’s internal original world-wide R training programme which forms the backbone of this PSI course.
Andy’s professional background includes 6 years working for Mango Solutions, a niche Statistics and Data Science consultancy that specialised in R. During his time at Mango, Andy taught several hundred face to face and virtual R training courses. And in 2015 he co-authored, “R in 24 Hours” with two Mango colleagues. Andy has an MMath Mathematics from University of Bath and MSc Statistics with Applications in Medicine from University of Southampton.
Alanah Jonas
Alanah attended the University of Nottingham, where she earned her integrated master’s degree in Mathematics with Statistics in 2018. Upon completing her degree, she secured a graduate position at Amadeus Software. During her tenure there, she underwent three months of intensive SAS training before being placed at GSK.
Her journey at GSK began in the Biostatistics department, specifically in Clinical Programming. Over the course of three years, she honed her expertise in this specialized field. She seized the opportunity for a secondment in the Statistical Data Science and Innovation Hub, serving as a Principal Data Scientist. During her time at GSK, Alanah has had first-hand experience in both delivering and participating in various R training methods. Most recently, she has been working on the AccelerateR initiative where she provides small group, tailored, just in time training for study teams with mentoring and support.
Journal Club
PSI Training Course: R for Clinical Trial Statisticians
Date: Every Monday & Friday (weekly) from Monday 29th January - Friday 1st March 2024 Time: Mondays 10:00-12:00 GMT | Fridays 10:00-11:00 GMT Location: Online via Zoom Presenters: Andrew Nicholls and Alanah Jonas (GSK)
Who is this event intended for? This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context. What is the benefit of attending? Attendees will learn how to: understand data manipulation in R via the “Tidyverse”; produce R graphics with ggplot2; and perform & interpret basic statistical analyses in R.
Session Dates
Main session: Monday 29th January | Drop-in Q&A session: Friday 2nd February
Main session: Monday 5th February | Drop-in Q&A session: Friday 9th February
Main session: Monday 12th February | Drop-in Q&A session: Friday 16th February
Main session: Monday 19th February | Drop-in Q&A session: Friday 23rd February
Main session: Monday 26th February | Drop-in Q&A session: Friday 1st March
Cost
Early Bird PSI Members = £320+VAT Early Bird Non-Members = £430*+VAT *Please note: Early Bird prices expire at 17:00 on Friday 22nd December.
Standard PSI Members = £360+VAT Standard Non-Members = £470*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
Registration
To register your place, please click here.
Please note:-
Back by popular demand, this Course is a re-run from 2021. Places are therefore limited, and so we do kindly ask you to consider all dates & times before registering.
For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 December 2024, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member, and the event itself, you must not apply or pay for an individual membership of PSI. Similarly, it is your responsibility to ensure that you will not be included in your company's group membership/renewal.
Membership awarded as part of the Non-Member registration fee is non-refundable, and will not be applied until after the first session.
Overview
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.
This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.
Participation will provide access to extensive course materials in the form of a ‘bookdown’ site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
Topics covered include:
Introduction to R and Rstudio
Data types and vectors
Welcome to tidyverse
Importing/exporting data
Handling data
Piping
Summaries and aggregation
Setting and merging
Transposing data
Introduction to statistical analysis in R
R graphics with ggplot2
Speaker details
Speaker
Biography
Andrew Nicholls
Andy Nicholls has been an R user and advocate for over 15 years. He is currently Head of Data Science within GSK’s Biostatistics function and responsible for driving R adoption, with a remit covering systems, tools and training. As part of this role, Andy developed GSK’s internal original world-wide R training programme which forms the backbone of this PSI course.
Andy’s professional background includes 6 years working for Mango Solutions, a niche Statistics and Data Science consultancy that specialised in R. During his time at Mango, Andy taught several hundred face to face and virtual R training courses. And in 2015 he co-authored, “R in 24 Hours” with two Mango colleagues. Andy has an MMath Mathematics from University of Bath and MSc Statistics with Applications in Medicine from University of Southampton.
Alanah Jonas
Alanah attended the University of Nottingham, where she earned her integrated master’s degree in Mathematics with Statistics in 2018. Upon completing her degree, she secured a graduate position at Amadeus Software. During her tenure there, she underwent three months of intensive SAS training before being placed at GSK.
Her journey at GSK began in the Biostatistics department, specifically in Clinical Programming. Over the course of three years, she honed her expertise in this specialized field. She seized the opportunity for a secondment in the Statistical Data Science and Innovation Hub, serving as a Principal Data Scientist. During her time at GSK, Alanah has had first-hand experience in both delivering and participating in various R training methods. Most recently, she has been working on the AccelerateR initiative where she provides small group, tailored, just in time training for study teams with mentoring and support.
Webinars
PSI Training Course: R for Clinical Trial Statisticians
Date: Every Monday & Friday (weekly) from Monday 29th January - Friday 1st March 2024 Time: Mondays 10:00-12:00 GMT | Fridays 10:00-11:00 GMT Location: Online via Zoom Presenters: Andrew Nicholls and Alanah Jonas (GSK)
Who is this event intended for? This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context. What is the benefit of attending? Attendees will learn how to: understand data manipulation in R via the “Tidyverse”; produce R graphics with ggplot2; and perform & interpret basic statistical analyses in R.
Session Dates
Main session: Monday 29th January | Drop-in Q&A session: Friday 2nd February
Main session: Monday 5th February | Drop-in Q&A session: Friday 9th February
Main session: Monday 12th February | Drop-in Q&A session: Friday 16th February
Main session: Monday 19th February | Drop-in Q&A session: Friday 23rd February
Main session: Monday 26th February | Drop-in Q&A session: Friday 1st March
Cost
Early Bird PSI Members = £320+VAT Early Bird Non-Members = £430*+VAT *Please note: Early Bird prices expire at 17:00 on Friday 22nd December.
Standard PSI Members = £360+VAT Standard Non-Members = £470*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
Registration
To register your place, please click here.
Please note:-
Back by popular demand, this Course is a re-run from 2021. Places are therefore limited, and so we do kindly ask you to consider all dates & times before registering.
For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 December 2024, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member, and the event itself, you must not apply or pay for an individual membership of PSI. Similarly, it is your responsibility to ensure that you will not be included in your company's group membership/renewal.
Membership awarded as part of the Non-Member registration fee is non-refundable, and will not be applied until after the first session.
Overview
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.
This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.
Participation will provide access to extensive course materials in the form of a ‘bookdown’ site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
Topics covered include:
Introduction to R and Rstudio
Data types and vectors
Welcome to tidyverse
Importing/exporting data
Handling data
Piping
Summaries and aggregation
Setting and merging
Transposing data
Introduction to statistical analysis in R
R graphics with ggplot2
Speaker details
Speaker
Biography
Andrew Nicholls
Andy Nicholls has been an R user and advocate for over 15 years. He is currently Head of Data Science within GSK’s Biostatistics function and responsible for driving R adoption, with a remit covering systems, tools and training. As part of this role, Andy developed GSK’s internal original world-wide R training programme which forms the backbone of this PSI course.
Andy’s professional background includes 6 years working for Mango Solutions, a niche Statistics and Data Science consultancy that specialised in R. During his time at Mango, Andy taught several hundred face to face and virtual R training courses. And in 2015 he co-authored, “R in 24 Hours” with two Mango colleagues. Andy has an MMath Mathematics from University of Bath and MSc Statistics with Applications in Medicine from University of Southampton.
Alanah Jonas
Alanah attended the University of Nottingham, where she earned her integrated master’s degree in Mathematics with Statistics in 2018. Upon completing her degree, she secured a graduate position at Amadeus Software. During her tenure there, she underwent three months of intensive SAS training before being placed at GSK.
Her journey at GSK began in the Biostatistics department, specifically in Clinical Programming. Over the course of three years, she honed her expertise in this specialized field. She seized the opportunity for a secondment in the Statistical Data Science and Innovation Hub, serving as a Principal Data Scientist. During her time at GSK, Alanah has had first-hand experience in both delivering and participating in various R training methods. Most recently, she has been working on the AccelerateR initiative where she provides small group, tailored, just in time training for study teams with mentoring and support.
Careers Meetings
PSI Training Course: R for Clinical Trial Statisticians
Date: Every Monday & Friday (weekly) from Monday 29th January - Friday 1st March 2024 Time: Mondays 10:00-12:00 GMT | Fridays 10:00-11:00 GMT Location: Online via Zoom Presenters: Andrew Nicholls and Alanah Jonas (GSK)
Who is this event intended for? This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context. What is the benefit of attending? Attendees will learn how to: understand data manipulation in R via the “Tidyverse”; produce R graphics with ggplot2; and perform & interpret basic statistical analyses in R.
Session Dates
Main session: Monday 29th January | Drop-in Q&A session: Friday 2nd February
Main session: Monday 5th February | Drop-in Q&A session: Friday 9th February
Main session: Monday 12th February | Drop-in Q&A session: Friday 16th February
Main session: Monday 19th February | Drop-in Q&A session: Friday 23rd February
Main session: Monday 26th February | Drop-in Q&A session: Friday 1st March
Cost
Early Bird PSI Members = £320+VAT Early Bird Non-Members = £430*+VAT *Please note: Early Bird prices expire at 17:00 on Friday 22nd December.
Standard PSI Members = £360+VAT Standard Non-Members = £470*+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2024.
Registration
To register your place, please click here.
Please note:-
Back by popular demand, this Course is a re-run from 2021. Places are therefore limited, and so we do kindly ask you to consider all dates & times before registering.
For any delegate purchasing a Non-Member ticket: as the Non-Member ticket type is inclusive of PSI Membership through to 31 December 2024, please be advised that it is your individual responsibility to ensure that between registering for this event as a Non-Member, and the event itself, you must not apply or pay for an individual membership of PSI. Similarly, it is your responsibility to ensure that you will not be included in your company's group membership/renewal.
Membership awarded as part of the Non-Member registration fee is non-refundable, and will not be applied until after the first session.
Overview
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.
This course is aimed at clinical trial statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R. The content can also be applied more widely in a non-clinical trial context.
Participation will provide access to extensive course materials in the form of a ‘bookdown’ site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
Topics covered include:
Introduction to R and Rstudio
Data types and vectors
Welcome to tidyverse
Importing/exporting data
Handling data
Piping
Summaries and aggregation
Setting and merging
Transposing data
Introduction to statistical analysis in R
R graphics with ggplot2
Speaker details
Speaker
Biography
Andrew Nicholls
Andy Nicholls has been an R user and advocate for over 15 years. He is currently Head of Data Science within GSK’s Biostatistics function and responsible for driving R adoption, with a remit covering systems, tools and training. As part of this role, Andy developed GSK’s internal original world-wide R training programme which forms the backbone of this PSI course.
Andy’s professional background includes 6 years working for Mango Solutions, a niche Statistics and Data Science consultancy that specialised in R. During his time at Mango, Andy taught several hundred face to face and virtual R training courses. And in 2015 he co-authored, “R in 24 Hours” with two Mango colleagues. Andy has an MMath Mathematics from University of Bath and MSc Statistics with Applications in Medicine from University of Southampton.
Alanah Jonas
Alanah attended the University of Nottingham, where she earned her integrated master’s degree in Mathematics with Statistics in 2018. Upon completing her degree, she secured a graduate position at Amadeus Software. During her tenure there, she underwent three months of intensive SAS training before being placed at GSK.
Her journey at GSK began in the Biostatistics department, specifically in Clinical Programming. Over the course of three years, she honed her expertise in this specialized field. She seized the opportunity for a secondment in the Statistical Data Science and Innovation Hub, serving as a Principal Data Scientist. During her time at GSK, Alanah has had first-hand experience in both delivering and participating in various R training methods. Most recently, she has been working on the AccelerateR initiative where she provides small group, tailored, just in time training for study teams with mentoring and support.
Upcoming Events
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
Topic: R Package Basics.
Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “R Package Basics,” will introduce the fundamentals of working with R packages—covering how to install, load, and manage them effectively to support data analysis and reproducible research. The session will provide a solid starting point, clarify common misconceptions, and offer valuable resources for continued learning.
Date: Ongoing 6 month cycle beginning late April/early May 2026
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
PSI Book Club Lunch and Learn: Communicating with Clarity and Confidence
If you have read Ros Atkins’ book The Art of Explanation or want to listen to the BBC’s ‘Communicator in Chief’, you are invited to join the PSI Book Club Lunch and Learn, to discuss the content and application with the author, Ros Atkins. Having written the book within the context of the news industry, Ros is keen to hear how we have applied the ideas as statisticians within drug development and clinical trials. There will be dedicated time during the webinar to ASK THE AUTHOR any questions – don’t miss out on this exclusive PSI Book Club event!
Haven’t read the book yet? Pick up a copy today and join us.
Explanation - identifying and communicating what we want to say - is described as an art, in the title of his book. However, the creativity comes from Ros’ discernment in identifying and describing a clear step-by-step process to follow and practice. Readers can learn Ros’ rules, developed and polished throughout his career as a journalist, to help communicate complex written or spoken information clearly.
PSI Training Course: Effective Leadership – the keys to growing your leadership capabilities
This course will consist of three online half-day workshops. The first will be aimed at building trust, the backbone of leadership and a key to becoming effective. This is key to building a solid foundation.
The second will be on improving communication as a technical leader. This workshop will focus on communication strategies for different stakeholders and will involve tips on effective communication and how to develop the skills of active listening, coaching and what improv can teach us about good communication.
The final workshop will bring these two components together to help leaders become more influential. This will also focus on how to use Steven Covey’s 7-Habits, in particular Habits 4, 5 and 6, which are called the habits of communication.
The workshops will be interactive, allowing you to practice the concepts discussed. There will be plenty of time for questions and discussion. There will also be reflective time where you can think about what you are learning and how you might experiment with it.