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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.
Student travel expenses within the UK will be reimbursed following the event. An expense form will be provided for you to complete. Please ensure you keep original receipts for your incurred travel costs to be reimbursed.
PLEASE NOTE: PSI is non-profit making and as a principle does not pay an honorarium. As a guide, travel expenses would normally be second class rail fare. In complex cases, you are advised to discuss expenses with the PSI contact before incurring them.
Student registration will close on Wednesday 1st November 2023. 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 2024. 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.
This course is aimed at clinical trial statisticians who are new to or with limited experience of machine learning. Attendees will learn about a range of topics in machine learning, including practical sessions in R.
This webinar will explore two different approaches to Correlates of Protection in vaccine development.
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.
The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
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.
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
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.
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.
We have exciting new opportunities available for Study Statisticians, Support Statisticians and Exploratory Statisticians at various levels.
