Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb). Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Overview
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
Registration
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
Speaker details
Speaker
Biography
Dr. Heng Li
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
Dr. Lilly Yue
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
Dr. Jason (Jixian) Wang
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
Chair
Chair
Biography
Amy Mulick
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb). Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Overview
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
Registration
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
Speaker details
Speaker
Biography
Dr. Heng Li
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
Dr. Lilly Yue
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
Dr. Jason (Jixian) Wang
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
Chair
Chair
Biography
Amy Mulick
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb). Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Overview
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
Registration
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
Speaker details
Speaker
Biography
Dr. Heng Li
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
Dr. Lilly Yue
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
Dr. Jason (Jixian) Wang
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
Chair
Chair
Biography
Amy Mulick
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb). Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Overview
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
Registration
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
Speaker details
Speaker
Biography
Dr. Heng Li
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
Dr. Lilly Yue
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
Dr. Jason (Jixian) Wang
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
Chair
Chair
Biography
Amy Mulick
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb). Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Overview
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
Registration
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
Speaker details
Speaker
Biography
Dr. Heng Li
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
Dr. Lilly Yue
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
Dr. Jason (Jixian) Wang
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
Chair
Chair
Biography
Amy Mulick
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb). Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Overview
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
Registration
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
Speaker details
Speaker
Biography
Dr. Heng Li
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
Dr. Lilly Yue
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
Dr. Jason (Jixian) Wang
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
Chair
Chair
Biography
Amy Mulick
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
Upcoming Events
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.
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
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.
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.
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
GSK - Statistics Director - Vaccines and Infectious Disease
We are seeking an experienced and visionary Statistics Director to join our Team and lead strategic statistical innovation across GSK’s Vaccines and Infectious Disease portfolio.
As a Senior Biostatistician I at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
As a Statistical Scientist at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
We have an exciting opportunity for an Associate Director, Biostatistics to join a passionate team within Advanced Quantitative Sciences – Full Development.
: We have an exciting opportunity for an Associate Director (AD), Statistical Programming, to join a passionate team within Advanced Quantitative Sciences- Development.
Novartis - Senior Principal Statistical Programmer
We have an exciting opportunity for a Senior Principal Statistical Programmer, to join a passionate team within Advanced Quantitative Sciences – Development.
Pierre Fabre - Clinical Development Safety Statistics Expert M/F
We are seeking a highly skilled and proactive Clinical Development Safety Statistics Expert to join our Biometry Department and the Biometry Leadership Team based in Toulouse (31, Oncopole) or Boulogne (92).
Pierre Fabre - Lead Statistician – Real World Evidence -CDI- M/F
Pierre Fabre Laboratories are hiring a highly skilled and experienced Lead Statistician – Real World Evidence (RWE) to join the Biometry Department, part of the Data Science & Biometry Department, based in Toulouse (Oncopôle) or Boulogne.
Pierre Fabre - Lead Statistician- Clinical Trials M/F
We are seeking a highly skilled and experienced Lead Statistician in Clinical Trials to join our Biometry Department based in Toulouse (31, Oncopole) or Boulogne (92).
We are looking for Senior Statistical Programmers in the UK to join Veramed, where you'll deliver high-impact programming solutions in an FSP-style capacity, while advancing your career in a supportive, growth-driven environment.
