Basel, Basel, Switzerland
With over 30 years of experience in the pharmaceutical industry, I have dedicated my career to advancing clinical and pre-clinical research. My journey began at AstraZeneca, where I spent 17 years as a statistician, focusing on pre-clinical and non-clinical support for Drug Metabolism and Pharmacokinetics, Cancer and Infection Research, and Global Safety Assessment and Discovery Sciences. During this time, I led the AZ DMPK PK/PD modeling network for six years and contributed to the ICH S6 review group, influencing guidelines on study design and sample size requirements for developmental toxicology programs of biologics. At Novartis, I spent 13 years supporting early-phase clinical studies (FIH & PoC) and later focused on pre-clinical and non-clinical studies, particularly in vivo efficacy and safety. My role involved designing and analyzing studies to ensure the safety and efficacy of new drugs, contributing to the development of innovative therapies. In addition to my industry experience, I have a strong academic background, having served as a Lecturer in Medical Statistics at De Montfort University. I have taught courses in various subjects, including linear and generalized modeling, multivariate analysis, nonparametric methods, categorical data analysis, and survival data analysis. In 2011, I completed the Coaching for Innovation program, becoming a practicing iCoach. This experience has allowed me to mentor and guide professionals in their personal and professional development, fostering a culture of innovation and continuous improvement. I am passionate about leveraging my expertise in statistical analysis and modeling to drive advancements in drug development and improve patient outcomes. Let's connect and explore how we can collaborate to make a difference in the pharmaceutical industry.
Provide statistical input to early phase translational science studies.
Provide statistical support to all areas of pharmaceutical discovery including Lead Generation, Lead Optimisation and Translation of effects from preclinical to clinical.
Primarily a statistical teaching position for undergraduate and postgraduate students on Biological, Life Sciences and Mathematics courses.
Provide statistical input to study plans and statistical analysis of Studies in Clinical Trial Phases I through IV.
Provided non-clinical statistics support to the pharmaceutical development and agro-chemical functions.