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Exhibitor registration has now closed. Please contact careers@psiweb.org if you were intending to register but missed the deadline.
For the exhibition session, we welcome representatives from any pharmaceutical companies, CROs, CTUs and other organisations working within the field of Medical Statistics, including any universities who run an MSc or PhD in Statistics, or have statistical consulting groups. We also welcome recruitment companies who specialise in roles in medical statistics and/ or programming.
Three representatives may attend per exhibitor stand.
Students will have the option to opt in to receiving communication from exhibitors after the event. The names and email addresses of those who consent will be shared with all exhibitors after the event.
Registration fees for an exhibitor stand are as follows:
Sponsorship options are available. All packages include an exhibitor stand.
All sponsors will benefit from their company logo being included in advertising materials, email communication and event slides. All sponsors will have the opportunity to provide a virtual flyer that will be shared with students in advance of the event.
Venue: This will support the cost of hiring the venue, Cutlers' Hall.
Catering: This will support the cost of refreshments provided by the venue.
Event bag: The sponsor will provide a reusable bag featuring their company logo. Additional freebies may be included.
Enhanced exhibitor stand: Additional branding and advertising.
Exhibitor registration is open from Wednesday 23rd August 2023 and closes on Wednesday 4th November 2023 at 5pm. For registered exhibitors, further information will be added in the lead up to the event.
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.
