PSI Webinar: Statistical Engagement with Commercial Activities

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.

AIMS SIG - Open-Source Lunch Bites

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.

PSI Mentoring 2026

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.

Camilo Zapata (Alkermes)	Abstract: Business analytics is the “discipline” in charge of identifying and leveraging meaningful patterns in data to drive or inform business decisions. It is multidisciplinary in nature as it operates at the intersection between mathematics/statistics, computer science and management. In this talk we will discuss how these three areas converge to deliver impactful results and share some relevant examples. We will also talk about what characteristics an organization requires in order to leverage this discipline as in the business world the ability to impact decisions is not only determined by the quality of the analyses, but also the robustness of the processes, the skills of the decision makers and the approachability of the results. Bio: Camilo is a data scientist that currently leads the advance analytics organization at Alkermes. He focuses on everything that is not clinical, with special emphasis on the commercial side of the business. Before Alkermes he led the compliance analytics efforts at Pfizer and the Text mining and Natural language processing hub at Lilly. He also co-led the creation of the advanced business analytics group at Lilly and he was responsible for building the analytical capabilities of Lilly’s clinical trial supply chain organization. Camilo is an engineer by training with M.S. degrees in Chemical and industrial engineering and a PhD in Chemical engineering from Purdue University. In spite of these titles is fair to say that as an engineer he wouldn’t survive.
Helena Baptista (Lilly)	Abstract: We have been measuring the efficacy and safety of our medicines for a long time. What are we doing to measure the efficacy of our promotional strategies? Developing great medicines is key, but if we fail to let the scientific community know when and why they should use our products, patients that would benefit the most will hardly get access to them. We need to provide directions to the marketing teams on how, when and how often to reach the interested health care providers. On top, in Europe, we need to do that with limited access to data. We will discuss what we can do and where do we have the biggest challenges. Bio: Education: PhD in statistics. NOVA University of Lisbon – Portugal Professional experience: Finance, Market Research, Operations management, Forecasting, Advanced Commercial Analytics (actual) Teaching undergraduates and Mastery courses on Forecasting Methods and Statistics for Enterprise Data Analysis
Lucy Frith (GSK)	Abstract: Working with a commercial organisation provides a varied array of tasks that often need complex analyses explained in a very concise but transparent way. This can lead to re-use of study data to present the results in a manner that meets the specific needs of different external groups such as health care professional (HCPs). Two such examples will be presented here. Firstly, overlaying the costs of treatments and patient care onto patient outcomes to support discussions with payer groups. Secondly, using Markov Chain modelling to utilise long-term data and provide Health care professionals a presentation of the data that aligns to the probability of a patient changing health status in a given period of time. To give further context to how these presentations of data could be used, such work is reviewed using data collected in a traditional efficacy study and in a pragmatic effectiveness situation. Bio: Lucy is currently working in the late phase respiratory research and supports a range of marketed products. She has a keen interest in re-using data appropriately to maximise the value of information collected during the development of a medicine. This is to further understand the products, the disease areas of interest and presenting this information in a practical way to external groups such as health care professional (HCPs). Lucy is a statistician with 26 years’ experience in the industry; where she has been involved in the clinical program design, taking products all the way through to submission and regulatory approval. She has a M.S. degrees in Medical Statistics and a MBA.

Registration
PSI Member	Free
Non-member	£20 (plus VAT)

Camilo Zapata (Alkermes)	Abstract: Business analytics is the “discipline” in charge of identifying and leveraging meaningful patterns in data to drive or inform business decisions. It is multidisciplinary in nature as it operates at the intersection between mathematics/statistics, computer science and management. In this talk we will discuss how these three areas converge to deliver impactful results and share some relevant examples. We will also talk about what characteristics an organization requires in order to leverage this discipline as in the business world the ability to impact decisions is not only determined by the quality of the analyses, but also the robustness of the processes, the skills of the decision makers and the approachability of the results. Bio: Camilo is a data scientist that currently leads the advance analytics organization at Alkermes. He focuses on everything that is not clinical, with special emphasis on the commercial side of the business. Before Alkermes he led the compliance analytics efforts at Pfizer and the Text mining and Natural language processing hub at Lilly. He also co-led the creation of the advanced business analytics group at Lilly and he was responsible for building the analytical capabilities of Lilly’s clinical trial supply chain organization. Camilo is an engineer by training with M.S. degrees in Chemical and industrial engineering and a PhD in Chemical engineering from Purdue University. In spite of these titles is fair to say that as an engineer he wouldn’t survive.
Helena Baptista (Lilly)	Abstract: We have been measuring the efficacy and safety of our medicines for a long time. What are we doing to measure the efficacy of our promotional strategies? Developing great medicines is key, but if we fail to let the scientific community know when and why they should use our products, patients that would benefit the most will hardly get access to them. We need to provide directions to the marketing teams on how, when and how often to reach the interested health care providers. On top, in Europe, we need to do that with limited access to data. We will discuss what we can do and where do we have the biggest challenges. Bio: Education: PhD in statistics. NOVA University of Lisbon – Portugal Professional experience: Finance, Market Research, Operations management, Forecasting, Advanced Commercial Analytics (actual) Teaching undergraduates and Mastery courses on Forecasting Methods and Statistics for Enterprise Data Analysis
Lucy Frith (GSK)	Abstract: Working with a commercial organisation provides a varied array of tasks that often need complex analyses explained in a very concise but transparent way. This can lead to re-use of study data to present the results in a manner that meets the specific needs of different external groups such as health care professional (HCPs). Two such examples will be presented here. Firstly, overlaying the costs of treatments and patient care onto patient outcomes to support discussions with payer groups. Secondly, using Markov Chain modelling to utilise long-term data and provide Health care professionals a presentation of the data that aligns to the probability of a patient changing health status in a given period of time. To give further context to how these presentations of data could be used, such work is reviewed using data collected in a traditional efficacy study and in a pragmatic effectiveness situation. Bio: Lucy is currently working in the late phase respiratory research and supports a range of marketed products. She has a keen interest in re-using data appropriately to maximise the value of information collected during the development of a medicine. This is to further understand the products, the disease areas of interest and presenting this information in a practical way to external groups such as health care professional (HCPs). Lucy is a statistician with 26 years’ experience in the industry; where she has been involved in the clinical program design, taking products all the way through to submission and regulatory approval. She has a M.S. degrees in Medical Statistics and a MBA.

Registration
PSI Member	Free
Non-member	£20 (plus VAT)

Camilo Zapata (Alkermes)	Abstract: Business analytics is the “discipline” in charge of identifying and leveraging meaningful patterns in data to drive or inform business decisions. It is multidisciplinary in nature as it operates at the intersection between mathematics/statistics, computer science and management. In this talk we will discuss how these three areas converge to deliver impactful results and share some relevant examples. We will also talk about what characteristics an organization requires in order to leverage this discipline as in the business world the ability to impact decisions is not only determined by the quality of the analyses, but also the robustness of the processes, the skills of the decision makers and the approachability of the results. Bio: Camilo is a data scientist that currently leads the advance analytics organization at Alkermes. He focuses on everything that is not clinical, with special emphasis on the commercial side of the business. Before Alkermes he led the compliance analytics efforts at Pfizer and the Text mining and Natural language processing hub at Lilly. He also co-led the creation of the advanced business analytics group at Lilly and he was responsible for building the analytical capabilities of Lilly’s clinical trial supply chain organization. Camilo is an engineer by training with M.S. degrees in Chemical and industrial engineering and a PhD in Chemical engineering from Purdue University. In spite of these titles is fair to say that as an engineer he wouldn’t survive.
Helena Baptista (Lilly)	Abstract: We have been measuring the efficacy and safety of our medicines for a long time. What are we doing to measure the efficacy of our promotional strategies? Developing great medicines is key, but if we fail to let the scientific community know when and why they should use our products, patients that would benefit the most will hardly get access to them. We need to provide directions to the marketing teams on how, when and how often to reach the interested health care providers. On top, in Europe, we need to do that with limited access to data. We will discuss what we can do and where do we have the biggest challenges. Bio: Education: PhD in statistics. NOVA University of Lisbon – Portugal Professional experience: Finance, Market Research, Operations management, Forecasting, Advanced Commercial Analytics (actual) Teaching undergraduates and Mastery courses on Forecasting Methods and Statistics for Enterprise Data Analysis
Lucy Frith (GSK)	Abstract: Working with a commercial organisation provides a varied array of tasks that often need complex analyses explained in a very concise but transparent way. This can lead to re-use of study data to present the results in a manner that meets the specific needs of different external groups such as health care professional (HCPs). Two such examples will be presented here. Firstly, overlaying the costs of treatments and patient care onto patient outcomes to support discussions with payer groups. Secondly, using Markov Chain modelling to utilise long-term data and provide Health care professionals a presentation of the data that aligns to the probability of a patient changing health status in a given period of time. To give further context to how these presentations of data could be used, such work is reviewed using data collected in a traditional efficacy study and in a pragmatic effectiveness situation. Bio: Lucy is currently working in the late phase respiratory research and supports a range of marketed products. She has a keen interest in re-using data appropriately to maximise the value of information collected during the development of a medicine. This is to further understand the products, the disease areas of interest and presenting this information in a practical way to external groups such as health care professional (HCPs). Lucy is a statistician with 26 years’ experience in the industry; where she has been involved in the clinical program design, taking products all the way through to submission and regulatory approval. She has a M.S. degrees in Medical Statistics and a MBA.

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