London, England, United Kingdom
Biostatistician at Parexel since October 2022. Experience in leading early phase studies. Involvement in a variety of other projects with international teams across multiple therapeutic areas, fostering several key partnerships. Engaged in open-source initiatives involving R and an active member of CAMIS - a PHUSE working group specialising in the comparative analysis of statistical outputs between different programming languages. Graduated with distinction prior to joining Parexel (MSc in Applied Statistics, BEng in Biomedical Engineering).
Coordinate and lead project teams. Interact with clients as key contact with regard to statistical and contractual issues. Attend and actively contribute to all kind of client meetings as appropriate. Programming of ADaM and TFLs using efficient programming techniques. Understand and apply moderately advanced statistical methods. Communicate process improvement ideas within the department and participate in quality improvement initiatives.
Production of tables, figures, and data listings. Involved in communication and meetings with clients. Assist in production of statistical reports.
MSc project with University of Strathclyde and Parexel titled 'R v SAS: Programming in Medical Statistics'. Comparing output between programming languages R and SAS for common analyses in Medical Statistics. Differences arose which were documented and investigated further, with the goal of presenting a resolution for future users.
Collecting data and speaking to Chaplains for a scope review on spiritual care within the NHS for the Scottish Government.