Date: Wednesday 29th September 2021
Time: 10:00 - 12:00 BST
Who is this event intended for? Anyone in a role that contains or will contain an aspect of leadership, be it project leadership, managing a team or advising more junior statisticians or programmers on a study.
What is the benefit of attending? You will come away with a plethora of techniques to use in your day to day leadership role as well as finding out how to overcome your own personal challenges in this context.
“It was really inspiring and empowering… it was enlightening to see that a lot of my peers go through the same challenges and feel the same feelings. It was good to talk about our journey and reflect on our experiences together”.
Whether your current challenge is trying to manage a new role, breaking through to your next position, influencing challenging stakeholders or progressing a difficult conversation, this workshop on removing barriers is for you.
During the session you will explore what’s holding you back, what opportunities for shift are available to you, identify where better to position yourself to positively influence, get your voice heard and be properly seen, and, have the opportunity to leave with achievable actions to enable you to lead for impact. The session will be interactive with the opportunity to connect with other participants. We will work with you to strengthen your leadership capability through the whole group, sub-group and individual interventions. The workshop will be run by our partner JCURV.Registration fees for this event are as follows:
PSI Members = £100+VAT
Non-Members = £195*+VAT (*inclusive of PSI Membership for the remainder of the 2021 calendar year)
To register for this workshop, please click here.
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.
