PSI Careers - MEDMathS: Medicine Empowered by Data, Maths and Statistics
Date: Wednesday 6th November 2024 A careers talk about medical statistics and how it plays a crucial role in developing new medicines
For this event, we welcome all actively enrolled university students with an interest in working in the field of Medical Statistics, regardless of level of study. NB: If you have already graduated and have not yet started working in Medical Statistics and would like to attend please contact careers@psiweb.org to discuss your interest and registration.
We aim to provide a contribution towards student travel expenses within the UK. However, as PSI is a not-for-profit organisation to manage our costs, travel expenses will be reimbursed according to the following policy: the first £10 will not be reimbursed; railcards should be used if they reduce the price of the ticket, and advanced tickets should be chosen where they exist. Please keep proof of purchase in order to claim for reimbursement.
In complex cases, you are advised to discuss expenses with the PSI contact before incurring them. If you don’t have a railcard and are planning to travel by train, please get in touch before booking to discuss whether you can be reimbursed.
Student registration will open on Monday 23rd September at 9am and close on Thursday 7th November 2024. For registered students, you can view important information relating to the event below. Information will be updated in the lead up to the event.
You do not need to be a PSI member to register however, registration will include student membership through to the end of 2025. Membership will become active after the event. Please use your academic email address to register. All registrations will be reviewed for student status and you will receive confirmation within a few days. Please contact careers@psiweb.org if you have any questions or problems with registration.
Ahead of the event we recommend for students to view our pre-recorded videos below. You can watch videos on the following:
You can also view videos from our previous events, which in addition to the videos above, you can view some recorded videos presented by new starters and the recording of the panel discussion.
Expense form will be emailed to students who attended the event after 29th November.
Date: Wednesday 6th November 2024 A careers talk about medical statistics and how it plays a crucial role in developing new medicines
Date: The Second Wednesday of every Month 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.
Date: Tuesday 19th November 2024 This webinar will discuss opportunities in applying causal inference methodology during the analysis of RCT data.
Dates: Module 1 - Wednesday 20th November Module 2 - Tuesday 26th November Module 3 - Thursday 28th November This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues.
Date: 20 October 2024 This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
Date: Wednesday 20th November 2024 This is a webinar on the design of studies to assess safety of vaccines administered in pregnancy.
Date: Re-scheduled to Tuesday 26th November 2024 Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
Date: Wednesday 27th November 2024 The 7 Habits of Highly Effective People has had a profound impact on millions of people around the world. The book focuses on cultivating character and refining personality. Its principles are not only transformative for personal growth but also serve as powerful tools for professional development. Over the past few months, members of the PSI Book Club have been exploring these transformative principles through focused discussions and real-world applications. These principles aren’t just theories—they are actionable strategies that can be integrated into your daily life to drive meaningful change. In this upcoming session, we’ll bring these discussions to a broader audience. Together, we’ll explore how to practically apply the 7 Habits in our professional lives, share key insights from our book club sessions, and reflect on how these timeless principles can enhance both our personal and professional journeys.
Date: Tuesday 10th December 2024 This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Date: Thursday 12th December 2024 Chaired by Jenny Devenport, join us to hear Andy Grieve and Zhiwei Zhang discuss their recent work on group sequential designs.
Date: October 2024 - July 2025 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.
An exciting opportunity has arisen for a Senior Medical Statistician & Statistical Programmer to join the UKCRC fully registered Derby Clinical Trials Support Unit (Derby CTSU).
Novartis recently established a Virtual Analytics Network in the UK and we are currently recruiting PhD graduates to join this exciting group!