Date: Tuesday 24th June 2025 Time: 14:00 - 15:00 BST / 15:00 - 16:00 CET Location: Online via Zoom
Who is this event intended for?: Researchers, professionals consuming and using research findings, and persons interested in research.
What is the benefit of attending?: Be on top of the recent EU-wide development in reproducible science.
Overview
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.
Cost
This webinar is free to both Members of PSI and Non-Members.
Center for Reproducible Science, University of Zurich
Rachel Heyard holds a PhD in Biostatistics and is currently a postdoctoral fellow in meta-research at the Center for Reproducible Science, University of Zurich (UZH). After finalising her PhD at UZH in 2019, she left academia to join the data team of the Swiss National Science Foundation (SNSF) as a statistician. While working on diverse data and statistics projects informing science policy, she discovered her passion for meta-research - the interdisciplinary study of research itself. After a bit more than three years at the SNSF, she decided to go back to academia and started a postdoc in meta-research at the Center for Reproducible Science, where she teaches Good Research Practices and continues doing meta-research. Her research interests include developing and testing new approaches for allocating research funding, statistical methods in research, and improving reproducibility and the uptake of Open Science. In the EU consortium iRISE (improving Reproducibility In SciencE) she co-lead the theory work package. She is further the vice-president of the Swiss Statistical Society, part of the steering committee of the CoARA (Coalition for Advancing Research Assessment) working group on Responsible Indicators and Metrics, and the organiser of the Zurich ReproducibiliTea Seminar Series.
Scientific Meetings
PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium
Date: Tuesday 24th June 2025 Time: 14:00 - 15:00 BST / 15:00 - 16:00 CET Location: Online via Zoom
Who is this event intended for?: Researchers, professionals consuming and using research findings, and persons interested in research.
What is the benefit of attending?: Be on top of the recent EU-wide development in reproducible science.
Overview
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.
Cost
This webinar is free to both Members of PSI and Non-Members.
Center for Reproducible Science, University of Zurich
Rachel Heyard holds a PhD in Biostatistics and is currently a postdoctoral fellow in meta-research at the Center for Reproducible Science, University of Zurich (UZH). After finalising her PhD at UZH in 2019, she left academia to join the data team of the Swiss National Science Foundation (SNSF) as a statistician. While working on diverse data and statistics projects informing science policy, she discovered her passion for meta-research - the interdisciplinary study of research itself. After a bit more than three years at the SNSF, she decided to go back to academia and started a postdoc in meta-research at the Center for Reproducible Science, where she teaches Good Research Practices and continues doing meta-research. Her research interests include developing and testing new approaches for allocating research funding, statistical methods in research, and improving reproducibility and the uptake of Open Science. In the EU consortium iRISE (improving Reproducibility In SciencE) she co-lead the theory work package. She is further the vice-president of the Swiss Statistical Society, part of the steering committee of the CoARA (Coalition for Advancing Research Assessment) working group on Responsible Indicators and Metrics, and the organiser of the Zurich ReproducibiliTea Seminar Series.
Training Courses
PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium
Date: Tuesday 24th June 2025 Time: 14:00 - 15:00 BST / 15:00 - 16:00 CET Location: Online via Zoom
Who is this event intended for?: Researchers, professionals consuming and using research findings, and persons interested in research.
What is the benefit of attending?: Be on top of the recent EU-wide development in reproducible science.
Overview
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.
Cost
This webinar is free to both Members of PSI and Non-Members.
Center for Reproducible Science, University of Zurich
Rachel Heyard holds a PhD in Biostatistics and is currently a postdoctoral fellow in meta-research at the Center for Reproducible Science, University of Zurich (UZH). After finalising her PhD at UZH in 2019, she left academia to join the data team of the Swiss National Science Foundation (SNSF) as a statistician. While working on diverse data and statistics projects informing science policy, she discovered her passion for meta-research - the interdisciplinary study of research itself. After a bit more than three years at the SNSF, she decided to go back to academia and started a postdoc in meta-research at the Center for Reproducible Science, where she teaches Good Research Practices and continues doing meta-research. Her research interests include developing and testing new approaches for allocating research funding, statistical methods in research, and improving reproducibility and the uptake of Open Science. In the EU consortium iRISE (improving Reproducibility In SciencE) she co-lead the theory work package. She is further the vice-president of the Swiss Statistical Society, part of the steering committee of the CoARA (Coalition for Advancing Research Assessment) working group on Responsible Indicators and Metrics, and the organiser of the Zurich ReproducibiliTea Seminar Series.
Journal Club
PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium
Date: Tuesday 24th June 2025 Time: 14:00 - 15:00 BST / 15:00 - 16:00 CET Location: Online via Zoom
Who is this event intended for?: Researchers, professionals consuming and using research findings, and persons interested in research.
What is the benefit of attending?: Be on top of the recent EU-wide development in reproducible science.
Overview
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.
Cost
This webinar is free to both Members of PSI and Non-Members.
Center for Reproducible Science, University of Zurich
Rachel Heyard holds a PhD in Biostatistics and is currently a postdoctoral fellow in meta-research at the Center for Reproducible Science, University of Zurich (UZH). After finalising her PhD at UZH in 2019, she left academia to join the data team of the Swiss National Science Foundation (SNSF) as a statistician. While working on diverse data and statistics projects informing science policy, she discovered her passion for meta-research - the interdisciplinary study of research itself. After a bit more than three years at the SNSF, she decided to go back to academia and started a postdoc in meta-research at the Center for Reproducible Science, where she teaches Good Research Practices and continues doing meta-research. Her research interests include developing and testing new approaches for allocating research funding, statistical methods in research, and improving reproducibility and the uptake of Open Science. In the EU consortium iRISE (improving Reproducibility In SciencE) she co-lead the theory work package. She is further the vice-president of the Swiss Statistical Society, part of the steering committee of the CoARA (Coalition for Advancing Research Assessment) working group on Responsible Indicators and Metrics, and the organiser of the Zurich ReproducibiliTea Seminar Series.
Webinars
PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium
Date: Tuesday 24th June 2025 Time: 14:00 - 15:00 BST / 15:00 - 16:00 CET Location: Online via Zoom
Who is this event intended for?: Researchers, professionals consuming and using research findings, and persons interested in research.
What is the benefit of attending?: Be on top of the recent EU-wide development in reproducible science.
Overview
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.
Cost
This webinar is free to both Members of PSI and Non-Members.
Center for Reproducible Science, University of Zurich
Rachel Heyard holds a PhD in Biostatistics and is currently a postdoctoral fellow in meta-research at the Center for Reproducible Science, University of Zurich (UZH). After finalising her PhD at UZH in 2019, she left academia to join the data team of the Swiss National Science Foundation (SNSF) as a statistician. While working on diverse data and statistics projects informing science policy, she discovered her passion for meta-research - the interdisciplinary study of research itself. After a bit more than three years at the SNSF, she decided to go back to academia and started a postdoc in meta-research at the Center for Reproducible Science, where she teaches Good Research Practices and continues doing meta-research. Her research interests include developing and testing new approaches for allocating research funding, statistical methods in research, and improving reproducibility and the uptake of Open Science. In the EU consortium iRISE (improving Reproducibility In SciencE) she co-lead the theory work package. She is further the vice-president of the Swiss Statistical Society, part of the steering committee of the CoARA (Coalition for Advancing Research Assessment) working group on Responsible Indicators and Metrics, and the organiser of the Zurich ReproducibiliTea Seminar Series.
Careers Meetings
PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium
Date: Tuesday 24th June 2025 Time: 14:00 - 15:00 BST / 15:00 - 16:00 CET Location: Online via Zoom
Who is this event intended for?: Researchers, professionals consuming and using research findings, and persons interested in research.
What is the benefit of attending?: Be on top of the recent EU-wide development in reproducible science.
Overview
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.
Cost
This webinar is free to both Members of PSI and Non-Members.
Center for Reproducible Science, University of Zurich
Rachel Heyard holds a PhD in Biostatistics and is currently a postdoctoral fellow in meta-research at the Center for Reproducible Science, University of Zurich (UZH). After finalising her PhD at UZH in 2019, she left academia to join the data team of the Swiss National Science Foundation (SNSF) as a statistician. While working on diverse data and statistics projects informing science policy, she discovered her passion for meta-research - the interdisciplinary study of research itself. After a bit more than three years at the SNSF, she decided to go back to academia and started a postdoc in meta-research at the Center for Reproducible Science, where she teaches Good Research Practices and continues doing meta-research. Her research interests include developing and testing new approaches for allocating research funding, statistical methods in research, and improving reproducibility and the uptake of Open Science. In the EU consortium iRISE (improving Reproducibility In SciencE) she co-lead the theory work package. She is further the vice-president of the Swiss Statistical Society, part of the steering committee of the CoARA (Coalition for Advancing Research Assessment) working group on Responsible Indicators and Metrics, and the organiser of the Zurich ReproducibiliTea Seminar Series.
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.
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.
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.
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.
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
A Lead Statistician builds and leads teams of statisticians and representatives from other functions and ensures the use of appropriate and efficient statistical analysis methods during development of Bayer products
Leeds Clinical Trials Research Unit - Undergraduate Internships
The Internship is open to undergraduate students in the penultimate year of their undergraduate degree at a UK university, in a mathematical, statistical, or quantitative related field.
As a Senior Statistician, you will provide high-quality statistical support to one of our key-FSP clients. At Senior level you may also take on a supervisory role (e.g. line management and/or project management), depending on your experience and interest.