Biostatistics Training Courses

CPD accredited Professional Development Courses in Advanced Topics in Biostatistics for Industry

Our industry-driven biostatistics courses will help you gain an insight into the design and analysis of medical device clinical trials and R&D studies, with a particular focus on their unique concerns. 

Further to this is a focus on how to advance your own knowledge and adapt your skills on a case-by-case basis as required by the demands of specific projects. 

Having this overall insight can be wildly beneficial for a graduate biostatistician embarking on their career or looking to change industry niche, as well as for the senior staff of any med-tech start-up looking to bring a new product to market.

For the most up to date information and to enrol in our currently available courses, please see out course site.

Upcoming courses:

Advanced Biostatistical Methods for MedTech: Evaluating Diagnostic Devices

This course addresses the advanced statistical techniques essential for modern diagnostic devices, which increasingly leverage novel biomarkers, imaging tools, and AI-driven algorithms. Participants will learn specialised approaches to sensitivity and specificity analysis, methods for handling verification bias, and statistical techniques suited to the unique challenges of diagnostic accuracy across diverse patient populations and clinical settings. With a focus on robust data interpretation and regulatory readiness, this course equips biostatisticians with the skills needed to validate innovative diagnostic methods and produce reliable, actionable evidence.

Advanced Biostatistical Methods for MedTech: Therapeutic Device Studies

This course explores specialised biostatistical techniques for the evaluation of a variety of therapeutic devices, emphasising sophisticated methods tailored to efficacy, safety, and precision. Participants will engage with advanced modelling strategies for handling multi-site variability, longitudinal data, and time-to-event analyses, essential for robust, high-stakes data interpretation in therapeutic device trials. Designed for experienced biostatisticians, the course offers in-depth coverage of methods that meet the rigorous demands of pivotal trials and support regulatory frameworks.

Advanced Biostatistical Methods for MedTech: Clinical Trials in Aesthetic Medicine

Specialised for aesthetic medical devices, this course examines advanced biostatistical methods tailored to the unique challenges of trials involving subjective and patient-reported outcomes, as well as stringent safety and adverse events monitoring. Participants will explore hierarchical modelling, handling high variability, multivariate techniques to capture nuanced treatment effects, and methods for assessing device safety and adverse events over time. With an emphasis on statistical rigour for both safety and efficacy, this course equips biostatisticians to meet the distinctive analytical requirements of aesthetic device trials and regulatory standards.

Bayesian Modelling in Stata for Biostatisticians

This course is suited to qualified biostatisticians who are looking to add Bayesian modelling and simulation using MCMC methods to their tool-belt using Stata. Applications to meta-analysis, sample size calculation and other tasks relevant to clinical trials in the life science industry are covered.

Really great course! Separating content into different device types made the concepts clearer and more memorable in terms of what methodology to use.
David Smith
Data Scientist
This course contained advanced biostatistics methodology that I did not encounter at uni. It was a valuable extension of my statistics education and very applied. This has given me confidence to pursue work in the medical domain.
Amrit Singh
Graduate Statistician
Diverse case studies with a variety of devices and hybrids was really helpful to show when non-standard methodologies can better evaluate endpoints. There was also a good mix between statistical methods and study designs to suit regulatory concerns.
Nadia A
Senior Biostatistician