Date: Friday 17th March 2023 Time: 13:00-14:00 GMT Speakers: Christine Fletcher (GSK), Christy Mazzarisi (Mersana) and Paul Frewer (AstraZeneca).
Who is this event intended for? Anyone interested in learning about or developing leadership skills in the modern day hybrid working world. What is the benefit of attending? This session will cover the successes, challenges and changes needed by our leaders and managers in order to best support the changing workforce, whether that be in the office, remote working or a combination of the two.
Registration
Registration for this webinar is free, and is now open to Members of PSI and Non-Members. We'd love for you to join us!
To register for this event, please click here.
Overview
This PSI Lunch & Learn series focuses on career-related topics through a panel discussion, hosted by Claire Brittain & Chetan Mistry.
Upcoming session: In the upcoming event - "Modern Leaders: Remote not Distant" - we will be discussing the need for a conscious evolution of leadership styles as remote working becomes commonplace.
Whilst there has been a lot of debate on office-based vs. remote workers, there has been less discussion on what 'good' leadership looks like in the new working world. This panel discussion will explore how leaders in our industry have had to adapt, adjust and evolve in order to remain effective in their roles.
Speaker details
Speaker
Biography
Christy Mazzarisi
Innovative and accomplished Quality Systems Professional with a broad background in Pharmaceutical and Laboratory sciences with over 17 years industry practice. Overall background includes building and leading global teams across functions in the biotech and pharmaceutical space. She is passionate about continuous improvement activities and consistently building quality into each area of our lives by providing coaching, mentoring and professional support to team members, employees, and many others across industries who want to develop their leadership skills. Chair of Women in Quality group for the American Society for Quality, where she supports building the female leadership pipeline and building the future of success across various industries (automotive, aerospace, manufacturing, technology, etc.) Advocate and Gala Committee Member for the Tourette’s Association of America, Advocate for Make-A-Wish NJ and Powershift Ambassador for Shark Tank’s Daymond John.
Paul Frewer
Paul has been a statistician in the industry for over 25 years, working for Eli Lilly, GSK, Ipsen and AstraZeneca. His initial experiences were as a statistician on post-marketing studies and since then has slowly moved backwards through the phases to his current role in early clinical development.He has worked across most therapeutic areas and has specialized solely in oncology for the past 15 years. He joined AstraZeneca in 2012 and is now a Biometrics Team Leader in the Early Oncology Statistics team. He supports multiple different compounds in the oncology therapeutic area across many studies from Phase I up to Phase IIb. He has published on the AZ decision making framework and presented several times on the topic at conferences over the last few years.
Chrissie Fletcher
Chrissie is the Vice President of Speciality and Primary Care Statistics at GSK. She has worked in the Pharmaceutical Industry for over 30 years and has experience of developing and commercialising new medicines in a variety of clinical disease areas across all phases of clinical development. Chrissie is actively engaged in statistical societies, pharmaceutical trade associations and initiatives relating to the Pharmaceutical Industry such as driving innovation in clinical trials and sharing implementation experiences of the estimand framework. She is an advocate and champion for diversity, equity and inclusion where she supports a variety of Women Leadership programs.
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.
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.
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Pre-Clinical SIG Webinar: AI agents for drug discovery and development
AI agents are large language models equipped with tools that can autonomously tackle challenging tasks. This talk will explore how generative AI agents can enable biomedical discovery.
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.
The Pre-Clinical Special Interest Group (SIG) Workshop 2025 will take place over two half-days on 7 - 8 October in Verona, Italy, bringing together experts from industry, academia, and regulatory institutions to discuss key challenges and innovations in pre-clinical research.
PSI Training Course: Introduction to Machine Learning
Four sessions will include ML foundation (including an introduction, data exploration for ML and dimensionality reduction and feature selection), Supervised learning (including support vector machines and model evaluation and interpretation), model optimization and unsupervised learning (including clustering) and advanced topics (including neural networks, deep learning and large language models).
The program will feature insightful sessions led by distinguished invited speakers, alongside a poster session showcasing the latest advancements in the field. Further details will be provided.
Date: 19 November 2025
This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Associate Director Biostatistics in Early Development - Novartis
As an Associate Director Biostatistics Early Development, you will be a key member of our biostatistics group, you will play a crucial role in the design, analysis, and interpretation of clinical trials for early development programs.
Associate Director Biostatistics, Real World Data - Novartis
If you are passionate about biostatistics and real-world data, and are looking for an exciting opportunity to contribute to groundbreaking research, we encourage you to apply.
Are you passionate about making a difference in the world of healthcare? Novartis is seeking a dynamic and experienced professional to join our team in London at The Westworks.
Director of HTA Biostatistics & Medical Affairs - Novartis
As the Director of HTA Biostatistics & Medical Affairs, you will play a pivotal role in shaping the future of healthcare by providing strategic biostatistical leadership and expertise.
As a Senior Principal Biostatistician, you will be responsible and accountable for all statistical work, both scientific and operational, for one or more assigned clinical trials
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