Our committees run the society. If you want greater input into how we do things, please volunteer. If you want to take on work outside of the daily grind of coding and meeting minutes, we could be that forum. We will find a way for your commitments to fit around your day job and to find a role that suits your interests.
The committees are charged with running our annual conference and regular scientific meetings, journal club, webinars and training courses; with coordinating industry-wide responses to regulatory issues; with promoting the value of statistics to students, the industry and the public; and with running our academic publications and the member communications that make the society a community.
| Communication Committee | Runs our journal (and the associated journal club), member communications and members magazine. |
| Careers Committee | Provides career related events and content for statisticians and programmers within the pharmaceutical industry. Careers sub-committees: PSI CALC, Schools Outreach, PSI ITIT |
| Membership and Community | The Membership and Community Committee is responsible for coordinating all areas of membership and community support within PSI. |
| Scientific | Responsible for our annual conference, one-day scientific meetings and webinars |
| External affairs | Works to persuade the industry of the value of statistical insight and to aid the lay public in the interpretation of risk. |
| Commercial | Supports the society's commercial activities and advertising. |
If you are thinking of signing up or want more detail, use the menu above to take a look at the committee pages and contact the committee chairs.
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.
