Scientific Chair: Tobias Mütze (Novartis), Conference Chair: David Lawrence (Novartis)
The Scientific committee organises a number of one-day scientific meetings, webinars and the annual conference as well as joint meetings with other professional bodies each year. The topics of these meetings include a diverse variety of statistical techniques and applications relevant to PSI members working in clinical phase I-IV drug development & reimbursement and also a cover much wider remit applicable to the roles in the healthcare industry.
The Scientific Committee meets each month and alternates between teleconferences and face to face meetings primarily in London or the surrounding area.
The Scientific Committee is composed of the following members:
Amitava Mukhopadhyay (IQVIA)
David Lawrence (Novartis)
Jennifer Gilbride (GlaxoSmithKline)
Julia Niewczas (AstraZeneca)
Julia Saperia (MHRA)
Kate Taylor (Amgen)
Kristina Weber (Roche)
Maria Efstathiou (IQVIA)
Martin Jenkins (AstraZeneca)
Paul Terrill (PT Stat Consulting Ltd)
Rachael Lawrance (Adelphi Values)
Rosie Leach (Parexel)
Russell Jones (Orchard Therapeutics)
Sarah Williams (Roche)
Sue Todd (Reading University)
Teodora Trasieva (AstraZeneca)
Tobias Mütze (Novartis)
Tom Burnett (Bath University)
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 are starting a book club! We will be reading/discussing non-technical books relevant to our roles. Participants will be split into smaller groups to network with each other and practice exercises.
The first talk will be about "Introduction to Statistical Methods and Challenges in Vaccine Development" by Ivan Chan and the second talk will be about "Vaccine quintet. Statistical issues in the design and analysis of five vaccine programmes" by Stephen Senn.
In this short course, we will provide a statistical framework to incorporate external information into a trial. Bayesian Dynamic Borrowing designs based on the meta-analytic predictive (MAP) model will be detailed, and a practice session will be proposed with applications using the R package RBesT.
Our annual PSI Medical Statistics Careers Event, will be held online on Wednesday 2nd March 2022. The event will include a live online panel discussion and a virtual exhibition session.
We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices.
In this role you will consult in the design of complex and innovative studies and clinical trial programs as well as Leading DMC/DSMB processes.
Biometrics at AstraZeneca provides the data that influences decisions on how we roll back the frontiers of science to bring life-changing medicines to the world. We are at the heart of design, decision making, analytics and interpretation.
Joining us as Principal Biostatistician you will be responsible for providing statistical support of global clinical development programs in neuroscience.
