The world has changed and it will not turn back to what is used to be before the pandemic. This comes on top of other trends like the increased use of data across all aspects of data. The hunger for talent in the data science space has dramatically increased and it is not only coming from the Apples, Googles, and Amazons.
Other trends are the increase in prices, the shifts in motivations of employees, and the debate about what really makes people join and stay at companies.
During this webinar, we will be exploring the resulting recruitment challenges in a post pandemic world within Life Sciences as a sector, also specifically within Statistics across the UK and Europe. We will confront recruitment challenges, as well as taking a deep dive into what Statisticians want – how to hire and how to retain top talent. If you have any specific questions prior to the webinar, please send them in advance to emmaadams@michaelpage.com.
This webinar will be on the February 17th at 1pm UK time
Emma Adams
Emma is a Biometrics head hunter with 8 years of experience placing industry leading professionals into pharmaceutical, biotech, biopharma, medical device, CRO and consultancy organisations. Currently working at Michael Page Life Sciences, a leading partner globally, helping to give candidates better access to global brands in the pharma industry. Emma recruits a broad range of skill sets; Statisticians, Programmers, Data Scientists, Bioinformaticians and Data Analytics professionals across the globe having placed more than 150 experts successfully into new roles throughout her career.
Michael Page Life Sciences is a leading partner to the pharmaceutical industry, collaborating with a broad range of organisations as preferred suppliers, helping to give candidates better access to global brands in industry. With a team of 223 life science consultants across the globe, we are well networked and able to leverage global talent to help make hiring possible with soaring demand for talent. We offer a consultative recruitment solution in a skills shortage market to make recruitment plans achievable within set timelines. Michael Page make industry leading talent accessible to help reduce risk with business planning.
Alexander Schacht
Alexander is a Statistician and the Executive VP of Launch and Commercialisation Data Sciences at Veramed. Alexander studied mathematics and received his PhD in biostatistics on non-parametric statistics from the University of Göttingen in Germany. He has authored more than 70 scientific manuscripts in peer-reviewed journals and regularly speaks at international conferences, such as PSI and EADV.
He has more than 20 years of experience working as a statistician in healthcare, working primarily on phase IIIb and IV (RCT, observational studies, HTA submission, commercialisation work) with some regulatory work, as well as some work within the early phases of clinical development.
Alexander is interested in a broad range of methodological areas with a specific focus on helping pharmaceutical and biotech companies make better, data-driven decisions. In fact, this keen interest saw Alexander become the chair of the EFSPI/SPI SIG on benefit-risk, founder and chair of the data visualisation SIG and the Launch and Lifecycle SIG. Alexander has also served PSI as a board director responsible for communications.
He founded The Effective Statistician podcast, the weekly podcast designed to help statisticians and data scientists reach their potential, lead great science and serve patients without becoming overwhelmed by work. The podcast was downloaded more than 100 000 times and contains 200+ episodes.
Together with Gary Sulllivan, Alexander created The Effective Statistician Leadership Program via which he trained more than 250 statisticians and programmers globally to become successful leaders irrespective of their title.
Alexander is a happy husband and father of three wonderful kids, who he credits for his continued passion and drive to help patients worldwide. In his spare time, Alexander loves running and listening to podcasts.
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