This webinar is an opportunity for potential employers to learn more about the new Medical Statistics Apprenticeship.
Date: Thursday 16th March 2023 Time: 16:00-17:00 GMT Location: Online Speakers:Grant Cullen (University of Strathclyde), Louise Kelly (University of Strathclyde), Stephanie Hubbard (University of Leicester), Mark Rutherford (University of Leicester) and Daniel Apparicio (University of Leicester).
Who is this event intended for? Employers who are interested in taking on a medical statistician apprentice. What is the benefit of attending? To find out more about the new Medical Statistics Apprenticeship and have the opportunity to talk to university providers.
Registration
This event is free to both Members and Non-Members of PSI.
To register for the session, please click here.
Overview
This webinar is an opportunity for potential employers to learn more about the new Medical Statistics Apprenticeship, and specifically, hear from our first university provider (University of Strathclyde) and also for another potential university provider (University of Leicester) to share information on their face to face course.
If you might be interested in taking on an apprentice statistician in the future this is an excellent opportunity to ask questions about the apprenticeship scheme and learn more about what is involved.
PSI VisSIG Wonderful Wednesday Webinar Series (2023)
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.
An informal event starting with a short talk and then going into breakout rooms to connect with others from the industry. Aimed at those who have recently joined the industry looking to expand their network.
This role is for a senior functional team member supporting Biostatistics activities on assigned Clinical Development, Enterprise Data & Analytics, and QDS projects.