University Courses
To work as a medical statistician, most companies require at least an MSc in Statistics, or an MSc with a significant statistical component, or a relevant subject. To work as a statistical programmer, most companies require at least a BSc in Mathematics or Statistics or a relevant subject. Exact educational requirements can vary by company, so we would always recommend checking the job description for each role to confirm what qualifications are required.
Below are some useful links and information about university courses:
Undergraduate
Before doing an MSc, you will need to complete an undergraduate degree. Consider searching for BSc degrees in “Mathematics” or “Statistics” or similar subject areas e.g. a combined degree. It is also worth considering whether the course offers the opportunity to do a placement year. For more information about student placements click here.
The following websites are good places to start your search:
Postgraduate
Consider searching for MSc degrees in “Statistics” or “Medical Statistics” or similar subject areas e.g. biostatistics, applied statistics or statistics with medical applications.
The following websites are good places to start your search:
Alternatively, you could consider completing a Medical Statistician Level 7 (MSc integrated) Apprenticeship, which enables BSc qualified employees, to study towards an MSc in Medical Statistics, whilst they work on the job. Read more about apprenticeships here
Upcoming Events
PSI Journal Club: Limitations and Challenges with Mixed Model Repeated Measures (MMRM) Analysis
Moses Mwangi and Florian Lasch present their recent work on MMRM, with discussion lead by Geert Molenberghs.
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
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.
PSI Webinar: Navigating HTA and Patient Access with Insights from Indirect Treatment Comparisons
Talks from speakers will cover an introduction to HTA and indirect comparisons for value assessment before focusing in more specifically on topics related to the use of indirect treatment comparisons for patient access.
PSI Webinar: Open Source Software - is it really a free-for-all?
Talks from the speakers will cover the use of R in a programming community, submitted to regulators using R, and also programming beyond R in C++ and Julia.
PSI Training Course: Introduction to Machine Learning
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.
Joint PSI/EFSPI Vaccine SIG Webinar: Statistical and Mechanistic Models for Correlates of Protection
This webinar will explore two different approaches to Correlates of Protection in vaccine development.
PSI Webinar: Drug Development in Women's Health
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.
PSI Webinar: Surrogacy
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.
PSI Career Young Virtual Event (Q2 2024)
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Career Young Virtual Event (Q3 2024)
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Introduction to Industry Training (ITIT) Course - 2024/2025
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.
PSI Career Young Virtual Event (Q4 2024)
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
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