PSI Webinar(s): Causal inference in Clinical Trials
Over the course of two sessions, a panel of 8 esteemed speakers will give an introduction to the topic, followed by a presentation of case studies & interactive panel discussion.
Richard Houghton (Roche)
6 years
I completed my BSc Mathematics at Sheffield Hallam University, MSc Applied Statistics at Birkbeck, University of London and am currently studying part-time for a PhD in pharmacoepidemiology at Maastricht UMC+ in the Netherlands. Roche supported me as I pursued my Master’s degree and currently ongoing PhD alongside working. While working for Roche I have had the opportunity to work in 3 different roles and even move countries (UK to Switzerland).
I have been working in the Personalized Health Care Data Science department in Basel, Switzerland for almost 4 years. During this time, I’ve been able to work in multiple disease areas, so I’ve learnt a lot since joining.
A mix of meetings and research, I guess around 50-50 overall. Generally, we try to keep meetings to a minimum, but meeting your colleagues and stakeholders regularly is the best way to make sure that everyone stays aligned on the objectives.
IT systems, access to data, and analytic environments are all set up very nicely to ensure that the time we get to devote to deriving insights from data can be most productive. The role of data and analytics in personalised healthcare is constantly expanding and being redefined, with many new and exciting projects available to people in the department.
Generally, I enjoy learning and understanding everything related to epidemiology – such as natural history of disease, predictors of safety and effectiveness of treatments in the real world setting, and supporting our clinical trials.
I like collaborating with scientists to help the setting and prioritising of research questions in alignment with stakeholder needs. Then, once these questions and objectives are set, as an analyst I deal with large and complex databases that contain the keys to unlocking these questions.
Over the course of two sessions, a panel of 8 esteemed speakers will give an introduction to the topic, followed by a presentation of case studies & interactive panel discussion.
In a world buzzing with artificial intelligence, can you distinguish between what's AI-generated and what's not? The session promises to showcase machine-generated content, challenging your perceptions, and luring you into the fascinating world of AI technology.
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.
This course consists of 5 x 2 hour training sessions run over 5 weeks. For those who cannot attend the date and time provided, there will be a recording provided and a follow-up 1 hour Q and A session. Participation will provide access to extensive course materials in the form of a “bookdown” site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
The Pre-Clinical SIG Workshop returns for 2024, bringing you a two half-days event, starting with a course on pre-clinical design of experiments. We will also have speakers on topics such as statistics and genetic toxicology, the new and promising OMARS DOE and ANOVA-type.
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
Suitable for PhD candidates in statistics or a related discipline. Full-time for 10-12 weeks in Summer 2024. Remote working, from the United States or the United Kingdom
UCB invites TWO candidates interested in a career in drug development to undertake a medical statistician apprenticeship.
The Principal DMC Statistician works primarily in the production and quality control.
Head of Respiratory Vaccines Clinical Statistics role has portfolio leadership for statisticians aligned to vaccine development in the area of Respiratory disease, providing statistical leadership for Clinical Development and Commercialization.
BioMarin is the world leader in delivering therapeutics that provide meaningful advances to patients who live with serious and life-threatening rare genetic diseases.