PSI Journal Club: Group Sequential Designs

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.

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

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.

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 Book Club: The AI Con – Joint with ASA Book Club

The Guardian described the authors of this book as refreshingly sarcastic! What is sold to us as AI, they announce, is just "a bill of goods": "A few major well-placed players are poised to accumulate significant wealth by extracting value from other people's creative work, personal data, or labour, and replacing quality services with artificial facsimiles."

Causal Inference SIG and EFSPI Methods Leaders: Modern Covariate Adjustment in Clinical Trials

This webinar will discuss modern approaches to covariate adjustment in clinical trials. We begin with the motivation and key principles underlying the FDA guidance, then revisit established methodologies in light of these regulatory considerations. Building on this foundation, we explore extensions to more advanced applications in clinical trial analysis. The webinar concludes with an outlook on future developments and a panel discussion.

PSI Book Club: Another Door Opens – Book Club Special Event

This is a Book Club Special Event in response to the changes in our industry and as a supportive move to create community and connection for those navigating redundancy and uncertainty. Read the book in advance of the book club session then join the zoom call to discuss ideas. There will be breakout groups to connect with others, exchange experiences of how the book has helped, and offer support.

PSI Book Club: Change: How organisations achieve hard-to-image results in uncertain and volatile times

Organizations have to adapt to the transforming landscape of our industry to ensure they continue to be successful in the future. Many of us are feeling the impact of organizational change. By reading John P Kotter’s book we can understand about organizational change and learn how to thrive, rather than just survive, through change. Change, by John P Kotter (and his team), is a summary of all that he has learned over his decades of research and leading change. His book describes why many current approaches to change are inadequate and explains why new solutions need to give people a voice and a role in a new, change-embracing organization. Develop your understanding of organisational change and become empowered to be part of your organisation’s change, by reading Change by John P Kotter and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply knowledge from the book in-between sessions.

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 Training Course: Propensity Scores: Practical Application in Non-randomised Studies

The course will introduce the topic of propensity scores and the use of external data. Covering the topics of matching and weighting as well as more advance topics of high dimension propensity scores, multi-valued treatments, double robustness and time-varying scenarios. There will be the opportunity to participate in some hands on practical exercises in R.

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.

Speaker	Biography
Jenny Devenport	A Ph.D. statistician by training, Jenny Devenport has more than 20 years of experience driving decisions in the healthcare industry including device /pharmaceutical development, quality monitoring and program evaluation in public health, and practice management in occupational healthcare systems. She aims to ask the right questions and develop optimal solutions to get patients the best care. She champions scientific curiosity, use of diverse data sources, effective measurement, and meticulous study design. As a leader and coach, she gets people to exceed themselves by leaving their comfort zones, appreciating their strengths, building strategic collaborations, forming extensive personal networks, and aiming for impact locally and globally.
Andy Grieve	Andrew P. Grieve is a Visiting Professor at King’s College London having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two books. He has been an invited speaker at national and international conferences on over 300 occasions.
Zhiwei Zhang	Zhiwei Zhang is a senior director at Gilead Sciences. Before joining Gilead, he worked in academia and government agencies, including FDA and NIH. His research interests include causal inference and clinical trial design and analysis. Dr. Zhang has published over 100 research articles, mostly in statistical journals. He is an elected fellow of the American Statistical Association.

Speaker	Biography
Jenny Devenport	A Ph.D. statistician by training, Jenny Devenport has more than 20 years of experience driving decisions in the healthcare industry including device /pharmaceutical development, quality monitoring and program evaluation in public health, and practice management in occupational healthcare systems. She aims to ask the right questions and develop optimal solutions to get patients the best care. She champions scientific curiosity, use of diverse data sources, effective measurement, and meticulous study design. As a leader and coach, she gets people to exceed themselves by leaving their comfort zones, appreciating their strengths, building strategic collaborations, forming extensive personal networks, and aiming for impact locally and globally.
Andy Grieve	Andrew P. Grieve is a Visiting Professor at King’s College London having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two books. He has been an invited speaker at national and international conferences on over 300 occasions.
Zhiwei Zhang	Zhiwei Zhang is a senior director at Gilead Sciences. Before joining Gilead, he worked in academia and government agencies, including FDA and NIH. His research interests include causal inference and clinical trial design and analysis. Dr. Zhang has published over 100 research articles, mostly in statistical journals. He is an elected fellow of the American Statistical Association.

Speaker	Biography
Jenny Devenport	A Ph.D. statistician by training, Jenny Devenport has more than 20 years of experience driving decisions in the healthcare industry including device /pharmaceutical development, quality monitoring and program evaluation in public health, and practice management in occupational healthcare systems. She aims to ask the right questions and develop optimal solutions to get patients the best care. She champions scientific curiosity, use of diverse data sources, effective measurement, and meticulous study design. As a leader and coach, she gets people to exceed themselves by leaving their comfort zones, appreciating their strengths, building strategic collaborations, forming extensive personal networks, and aiming for impact locally and globally.
Andy Grieve	Andrew P. Grieve is a Visiting Professor at King’s College London having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two books. He has been an invited speaker at national and international conferences on over 300 occasions.
Zhiwei Zhang	Zhiwei Zhang is a senior director at Gilead Sciences. Before joining Gilead, he worked in academia and government agencies, including FDA and NIH. His research interests include causal inference and clinical trial design and analysis. Dr. Zhang has published over 100 research articles, mostly in statistical journals. He is an elected fellow of the American Statistical Association.

Speaker	Biography
Jenny Devenport	A Ph.D. statistician by training, Jenny Devenport has more than 20 years of experience driving decisions in the healthcare industry including device /pharmaceutical development, quality monitoring and program evaluation in public health, and practice management in occupational healthcare systems. She aims to ask the right questions and develop optimal solutions to get patients the best care. She champions scientific curiosity, use of diverse data sources, effective measurement, and meticulous study design. As a leader and coach, she gets people to exceed themselves by leaving their comfort zones, appreciating their strengths, building strategic collaborations, forming extensive personal networks, and aiming for impact locally and globally.
Andy Grieve	Andrew P. Grieve is a Visiting Professor at King’s College London having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two books. He has been an invited speaker at national and international conferences on over 300 occasions.
Zhiwei Zhang	Zhiwei Zhang is a senior director at Gilead Sciences. Before joining Gilead, he worked in academia and government agencies, including FDA and NIH. His research interests include causal inference and clinical trial design and analysis. Dr. Zhang has published over 100 research articles, mostly in statistical journals. He is an elected fellow of the American Statistical Association.

Speaker	Biography
Jenny Devenport	A Ph.D. statistician by training, Jenny Devenport has more than 20 years of experience driving decisions in the healthcare industry including device /pharmaceutical development, quality monitoring and program evaluation in public health, and practice management in occupational healthcare systems. She aims to ask the right questions and develop optimal solutions to get patients the best care. She champions scientific curiosity, use of diverse data sources, effective measurement, and meticulous study design. As a leader and coach, she gets people to exceed themselves by leaving their comfort zones, appreciating their strengths, building strategic collaborations, forming extensive personal networks, and aiming for impact locally and globally.
Andy Grieve	Andrew P. Grieve is a Visiting Professor at King’s College London having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two books. He has been an invited speaker at national and international conferences on over 300 occasions.
Zhiwei Zhang	Zhiwei Zhang is a senior director at Gilead Sciences. Before joining Gilead, he worked in academia and government agencies, including FDA and NIH. His research interests include causal inference and clinical trial design and analysis. Dr. Zhang has published over 100 research articles, mostly in statistical journals. He is an elected fellow of the American Statistical Association.

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