Past PSI Events

Conferences

PSI Training Course: R for SAS Users

Date: Monday 17th May - Tuesday 15th June 2021 [set days]
Time: 09:45 - 12:00 [on set session days]
Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK)
Important: Please note, this is a 5-week virtual course. 

Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
What is the benefit of attending? Attendees will learn how to: understand data manipulation in R; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.

Course cost

NB: This course has Earlybird rates available. These are valid for bookings on or before 19th April only.
Earlybird Members = £300+VAT
Earlybird Non-Members = £395+VAT*
Regular Members = £340+VAT
Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.

Registration

Registration for this event is now full.

Overview

This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.

Session 1: Monday 17th May or Tuesday 18th May
Session 2: Monday 24th May or Tuesday 25th May
Session 3: Tuesday 1st June or Wednesday 2nd June
Session 4: Monday 7th June or Tuesday 8th June
Session 5: Monday 14th June or Tuesday 15th June

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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.

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:

1. Introduction to R and RStudio
2. Data types and vectors
3. Welcome to tidyverse
4. Importing/exporting data
5. Handling data
6. Piping
7. Summaries and aggregation
8. Setting and merging
9. Transposing data
10. Introduction to statistical analysis in R
11. R Graphics with ggplot2
    a. Layering
    b. Aesthetics and groups
    c. Graph types: geoms
    d. Panelling: faceting
    e. Themes and styling

Please click here to view the flyer for this event.


Cancellation and Moderation Terms
For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.

Scientific Meetings

PSI Training Course: R for SAS Users

Date: Monday 17th May - Tuesday 15th June 2021 [set days]
Time: 09:45 - 12:00 [on set session days]
Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK)
Important: Please note, this is a 5-week virtual course. 

Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
What is the benefit of attending? Attendees will learn how to: understand data manipulation in R; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.

Course cost

NB: This course has Earlybird rates available. These are valid for bookings on or before 19th April only.
Earlybird Members = £300+VAT
Earlybird Non-Members = £395+VAT*
Regular Members = £340+VAT
Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.

Registration

Registration for this event is now full.

Overview

This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.

Session 1: Monday 17th May or Tuesday 18th May
Session 2: Monday 24th May or Tuesday 25th May
Session 3: Tuesday 1st June or Wednesday 2nd June
Session 4: Monday 7th June or Tuesday 8th June
Session 5: Monday 14th June or Tuesday 15th June

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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.

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:

1. Introduction to R and RStudio
2. Data types and vectors
3. Welcome to tidyverse
4. Importing/exporting data
5. Handling data
6. Piping
7. Summaries and aggregation
8. Setting and merging
9. Transposing data
10. Introduction to statistical analysis in R
11. R Graphics with ggplot2
    a. Layering
    b. Aesthetics and groups
    c. Graph types: geoms
    d. Panelling: faceting
    e. Themes and styling

Please click here to view the flyer for this event.


Cancellation and Moderation Terms
For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.

Training Courses

PSI Training Course: R for SAS Users

Date: Monday 17th May - Tuesday 15th June 2021 [set days]
Time: 09:45 - 12:00 [on set session days]
Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK)
Important: Please note, this is a 5-week virtual course. 

Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
What is the benefit of attending? Attendees will learn how to: understand data manipulation in R; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.

Course cost

NB: This course has Earlybird rates available. These are valid for bookings on or before 19th April only.
Earlybird Members = £300+VAT
Earlybird Non-Members = £395+VAT*
Regular Members = £340+VAT
Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.

Registration

Registration for this event is now full.

Overview

This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.

Session 1: Monday 17th May or Tuesday 18th May
Session 2: Monday 24th May or Tuesday 25th May
Session 3: Tuesday 1st June or Wednesday 2nd June
Session 4: Monday 7th June or Tuesday 8th June
Session 5: Monday 14th June or Tuesday 15th June

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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.

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:

1. Introduction to R and RStudio
2. Data types and vectors
3. Welcome to tidyverse
4. Importing/exporting data
5. Handling data
6. Piping
7. Summaries and aggregation
8. Setting and merging
9. Transposing data
10. Introduction to statistical analysis in R
11. R Graphics with ggplot2
    a. Layering
    b. Aesthetics and groups
    c. Graph types: geoms
    d. Panelling: faceting
    e. Themes and styling

Please click here to view the flyer for this event.


Cancellation and Moderation Terms
For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.

Journal Club

PSI Training Course: R for SAS Users

Date: Monday 17th May - Tuesday 15th June 2021 [set days]
Time: 09:45 - 12:00 [on set session days]
Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK)
Important: Please note, this is a 5-week virtual course. 

Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
What is the benefit of attending? Attendees will learn how to: understand data manipulation in R; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.

Course cost

NB: This course has Earlybird rates available. These are valid for bookings on or before 19th April only.
Earlybird Members = £300+VAT
Earlybird Non-Members = £395+VAT*
Regular Members = £340+VAT
Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.

Registration

Registration for this event is now full.

Overview

This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.

Session 1: Monday 17th May or Tuesday 18th May
Session 2: Monday 24th May or Tuesday 25th May
Session 3: Tuesday 1st June or Wednesday 2nd June
Session 4: Monday 7th June or Tuesday 8th June
Session 5: Monday 14th June or Tuesday 15th June

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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.

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:

1. Introduction to R and RStudio
2. Data types and vectors
3. Welcome to tidyverse
4. Importing/exporting data
5. Handling data
6. Piping
7. Summaries and aggregation
8. Setting and merging
9. Transposing data
10. Introduction to statistical analysis in R
11. R Graphics with ggplot2
    a. Layering
    b. Aesthetics and groups
    c. Graph types: geoms
    d. Panelling: faceting
    e. Themes and styling

Please click here to view the flyer for this event.


Cancellation and Moderation Terms
For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.

Webinars

PSI Training Course: R for SAS Users

Date: Monday 17th May - Tuesday 15th June 2021 [set days]
Time: 09:45 - 12:00 [on set session days]
Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK)
Important: Please note, this is a 5-week virtual course. 

Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
What is the benefit of attending? Attendees will learn how to: understand data manipulation in R; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.

Course cost

NB: This course has Earlybird rates available. These are valid for bookings on or before 19th April only.
Earlybird Members = £300+VAT
Earlybird Non-Members = £395+VAT*
Regular Members = £340+VAT
Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.

Registration

Registration for this event is now full.

Overview

This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.

Session 1: Monday 17th May or Tuesday 18th May
Session 2: Monday 24th May or Tuesday 25th May
Session 3: Tuesday 1st June or Wednesday 2nd June
Session 4: Monday 7th June or Tuesday 8th June
Session 5: Monday 14th June or Tuesday 15th June

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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.

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:

1. Introduction to R and RStudio
2. Data types and vectors
3. Welcome to tidyverse
4. Importing/exporting data
5. Handling data
6. Piping
7. Summaries and aggregation
8. Setting and merging
9. Transposing data
10. Introduction to statistical analysis in R
11. R Graphics with ggplot2
    a. Layering
    b. Aesthetics and groups
    c. Graph types: geoms
    d. Panelling: faceting
    e. Themes and styling

Please click here to view the flyer for this event.


Cancellation and Moderation Terms
For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.

Careers Meetings

PSI Training Course: R for SAS Users

Date: Monday 17th May - Tuesday 15th June 2021 [set days]
Time: 09:45 - 12:00 [on set session days]
Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK)
Important: Please note, this is a 5-week virtual course. 

Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
What is the benefit of attending? Attendees will learn how to: understand data manipulation in R; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.

Course cost

NB: This course has Earlybird rates available. These are valid for bookings on or before 19th April only.
Earlybird Members = £300+VAT
Earlybird Non-Members = £395+VAT*
Regular Members = £340+VAT
Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.

Registration

Registration for this event is now full.

Overview

This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.

Session 1: Monday 17th May or Tuesday 18th May
Session 2: Monday 24th May or Tuesday 25th May
Session 3: Tuesday 1st June or Wednesday 2nd June
Session 4: Monday 7th June or Tuesday 8th June
Session 5: Monday 14th June or Tuesday 15th June

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 statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.

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:

1. Introduction to R and RStudio
2. Data types and vectors
3. Welcome to tidyverse
4. Importing/exporting data
5. Handling data
6. Piping
7. Summaries and aggregation
8. Setting and merging
9. Transposing data
10. Introduction to statistical analysis in R
11. R Graphics with ggplot2
    a. Layering
    b. Aesthetics and groups
    c. Graph types: geoms
    d. Panelling: faceting
    e. Themes and styling

Please click here to view the flyer for this event.


Cancellation and Moderation Terms
For cancellations received up to two weeks prior to a PSI event start-date, the event registration fee will be refunded less 25% administrative charge. After this date, no refunds will be possible. A handling fee of 20 GBP per registration will be charged for every registration modification received two weeks prior or less, including a delegate name change.

Upcoming Events

PSI Introduction to Industry Training (ITIT) Course - 2026/2027

An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.

PSI Career Young Virtual Event (Q1 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

Inclusive and Impactful Conference Contributions

This webinar brings together three bitesize complementary sessions to help PSI contributors create conference presentations and posters that communicate clearly and inclusively. Participants will explore how to refine their message, prepare materials effectively, and adopt practical habits that support confident, accessible delivery. A focused, supportive session designed to elevate every contribution.

AIMS SIG - Open-Source Lunch Bites

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, “Graphics Basics,” will introduce the fundamentals of producing graphics using the ggplot2 package.

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.

Strategic role of statisticians for JCA

Join our Health Technology Assessment (HTA) European Special Interest Group (ESIG) for a webinar on the strategic role of statisticians in the Joint Clinical Assessment (JCA). The introduction of the JCA marks a new era for evidence generation and market access in Europe. As HTA requirements become more harmonized and methodologically demanding, the role of statisticians has evolved far beyond data analysis. Today, statistical expertise is central to shaping clinical development strategies, designing robust comparative evidence, and ensuring that submissions withstand the scrutiny of EU-level assessors. In this webinar, we explore how statisticians contribute strategically to successful JCA outcomes.

Statisticians in the Age of AI: On Route to Strategic Partnership

A 90-minute webinar featuring two case studies from Bayer and Roche demonstrating how statisticians successfully integrated into AI programs, followed by interactive discussion on strategies for elevating statistical expertise in the AI era.

Enhancing Clinical Study Reporting with the Estimand Framework

Join us for an insightful webinar where we explore practical strategies for applying the estimand framework in clinical study reporting. Drawing on real-world experiences and case studies, we will share recommendations to help you: • Understand the role of estimands in improving transparency and interpretation of trial results. • Navigate common challenges in implementing the framework during reporting. • Apply best practices to enhance regulatory submissions, webposting in public registries (clinicaltrials.gov/CTIS), and scientific publications. Whether you are involved in clinical trial design, data analysis, or regulatory submissions, this session will provide actionable guidance to realize the full potential of the estimand framework.

PSI Career Young Virtual Event (Q2 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Career Young Virtual Event (Q3 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Career Young Virtual Event (Q4 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

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