PSI Journal Club: Group Sequential Designs

PSI Introduction to Industry Training (ITIT) Course - 2025/2026

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.

Urgent Meeting: Medical Statistician Apprenticeship Scheme

The UK government have recently announced that level 7 apprenticeships must be fully funded by the employer from January 2026, for any apprentice over the age of 21. With funding for MSc's at an all time low, and universities courses facing closures, the apprenticeship scheme remains as important as ever, as a tool to encourage new statisticians into our industry. In this dedicated meeting, Valerie Millar (chair of the apprenticeship scheme) will provide full updates on the government changes and seek feedback and ideas from employers, universities and apprentices on how to keep this scheme successfully running for many years to come.

PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium

This 1-hour webinar will be an opportunity to hear about the methodology and first results of the iRISE consortium. iRISE is working towards a better understanding of reproducibility and the interventions that work to improve it. At the end of the presentation there will also be the opportunity to ask questions.

One-day Event: Change Management for Moving to R/Open-Source

This one-day event focuses on the comprehensive management of transitioning to R/Open-Source, addressing the challenges and providing actionable insights. Attendees will participate in sessions covering essential topics such as training best practices, creating strategic plans, making the case to senior management, and managing both statistical and programming aspects of the transition.

PSI Vaccines SIG Webinar: Challenges in Estimating Vaccine Effectiveness Against Progression to Severe Disease

This is a free webinar on Challenges in Estimating Vaccine Effectiveness Against Progression to Severe Disease.

PSI Book Club - The Art of Explanation: How to Communicate with Clarity and Confidence

Develop your non-technical skills by reading The Art of Explanation by Ros Atkins and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply skills from the book in-between sessions.

PSI Training Course: Pediatric Extrapolation

This course is aimed at biostatisticians with no or some pediatric drug development experience who are interested to further their understanding. We will give you an introduction to the pediatric drug development landscape. This will include identifying the key regulations and processes governing pediatric development, a discussion on the needs and challenges when conducting pediatric research and a focus on the ways to overcome these challenges from a statistical perspective.

PSI Career Young Virtual Event (Q3 2025)

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

EFSPI/PSI Causal Inference SIG Webinar: Instrumental Variable Methods

The webinar is targeted at statisticians working in the pharmaceutical industry, and the objective is to 1) provide a basic understanding of IV methodology including how it relates to causal inference, and 2) present two inspirational pharma-relevant applications.

PSI Career Young Virtual Event (Q4 2025)

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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