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.
1 year industry placement as part of BSc
4 year industry experience post MSc
I studied BSc Mathematics at University of Greenwich with an industrial placement in 2012, so I graduated in 2013. I studied MSc Medical Statistics at London School of Tropical Medicine and graduated in 2015.
I am currently working as a Biostatistician II at PAREXEL, after finding my job on LinkedIn. I have been at the company for nearly 2 years, after working for a smaller CRO for the first 2 years after graduating from my MSc. As part of my role I am currently the lead biostatistician on 2 clinical studies.
In 5 years’ time, I hope to be considered a senior statistician leading more clinical studies and being considered a statistical expert so I can provide input into more complex statistical issues.
A typical working day involves attending meetings, sending emails (internal and clients) and overseeing the biostatistics and programming activities on my studies.
My degree is very relevant to my job. Most pharmaceutical companies & CROs require at least a MSc in Statistics to work as a statistician. I chose to specialise in Medical Statistics as I knew I wanted to work in the pharmaceutical industry after completing my industrial placement year so this gave me specialist training in statistics used in this industry.
I enjoy knowing that the work I am doing will hopefully one day make a difference in someone’s life by helping get a drug to market.
Sometimes, as part of my role I can be faced with some interesting challenges… A client can request complex statistical analyses to be performed that I may not yet have experience with, so I have to do research and look into methodologies so I can deliver this to the client. Also working in a mutli-functional team, not everyone is familiar with understanding statistics so part of my job is coaching others and interpreting the results of any statistical analyses in a way that is understandable to those without any statistics knowledge.
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
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