The Careers and Academic Liaison Committee (CALC) are planning the annual Careers Fair Event on Wednesday 3rd February 2016, to be hosted at the University of Reading.
The Careers and Academic Liaison Committee (CALC) are planning the annual Careers Fair Event on Wednesday 3rd February 2016, to be hosted at the University of Reading. As well as MSc students, the invitation is extended to final year BSc and PhD students with an interest in pharmaceutical statistics and statistical programming.
The half-day event will include individual company stands, a series of themed presentations and a workshop. Each presentation will be run by a different company, with each company focusing on different elements of the pharmaceutical industry as decided by PSI CALC.
We would also like to invite universities to run a stand to advertise statistical MSc or PhD courses, or university affiliated statistical consulting units, so that students can be made fully aware of their options.
This event is open to all pharmaceutical companies and CROs. This is an excellent opportunity to raise the profile of your company or university with students who are interested in a career in pharmaceutical statistics and for the first time this year we are offering additional sponsorship opportunities. It’s also a chance to network with other companies and with the universities who are training our future statisticians and programmers.
Invitations will be sent out early in November, but if you don’t hear from us and you’d like to request an invitation, or for more information, please contact us at firstname.lastname@example.org.
Highlights from the 2015 event can be viewed at the link below:
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 field of data visualization is the intersection of data journalism, statistics, graphic design, computer science, neuroscience, and cognitive psychology. We will focus on the latter two fields of data visualization as it relates to data visualization: neuroscience and cognitive psychology.
PSI One-Day Meeting: Missing Data in Clinical Trials - Past, Present and Future
At this meeting we will present the evolution of missing data approaches, looking at how they have been handled in the past, the current established missing data approaches and the impact of the new ICH E9 R1 addendum on the handling of missing data, focussing in particular on the treatment policy estimand.
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. This will be a hands-on interactive course and will utilise the RStudio Cloud development environment.
PSI EIWG Webinar: Estimands in Oncology - How and Why
A year on after the final ICH E9 estimands addendum was published, we
bring estimands to life. Members of the Estimands in Oncology special interest group will describe how the estimand framework provides a common language to describe the diversity of patient journeys and why it is important to address the right question in clinical trials.
PSI Training Course: Data Monitoring Committees (DMCs)
This course will cover the essentials of DMC set up (roles and responsibilities, DMC charter, practical considerations), as well as discussing DMC case studies and the role of DMCs in adaptive trials and during the pandemic. In addition, there will be an interactive DMC workshop.
As a statistician in the Biostatistics and Programming Department, you will be responsible for the methodological and statistical aspects of projects in early clinical development in order to optimize the early development plan and ensure its coherence.
As a Director of Statistics, you will be accountable for guiding statisticians in their work, performing senior review of documentation and output deliveries, providing oversight and advising on best practices approach to statistics for clinical trials.