We are a group of statisticians, computer and data scientists - professionals with a range of backgrounds, experiences and skills, working in various functions across the Pharmaceutical Industry on tasks related to this huge field of knowledge called Data Science (DS).
We see our mission as bridging DS knowledge and expertise across various groups and functions within the pharmaceutical industry to increase collaboration, awareness, knowledge sharing and enhance drug development. We’ll encourage the development of new statistical and machine learning methods and approaches as well as in novel applications of the well-established methods.
| Name | Company/Institution |
| Carsten Henneges | Syneos Health |
Domingo Salazar (current chair) | AstraZeneca |
| Federico Concas | GSK |
| Imran Hossain | Cytel |
| Jennifer Bradford | Phastar |
Julia Chernova (former chair) | Bayer |
| Julie Russel | Bayer |
| Milan Geybels | Novo Nordisk |
| Peter Krusche | Novartis |
| Vlad Anisimov | Amgen |
If you are interested in contributing to the DS SIG, please get in touch with Domingo Salazar domingo.salazar@astrazeneca.com
No upcoming events at this time.
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.
PSI are starting a book club! We will be reading/discussing non-technical books relevant to our roles. Participants will be split into smaller groups to network with each other and practice exercises.
Whatever your current challenge(s) at work, this workshop will explore what's holding you back, and how barriers can be removed in order to progress and achieve.
A PSI Training Course covering the statistical methods for repeated measures and other clustered data. Course will cover: Conditional models for continuous hierarchical data, Conditional models for continuous longitudinal data, Marginal models (GEE) for continuous longitudinal data & Discrete data.
Learn from others in the PSI Community who also associate with Imposter Syndrome. They will discuss the topic, give their own personal views and experiences and provide tips to beat it.
Complex Innovative Designs: overview and case studies from FDA pilot program and considerations on master protocols.
R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. This will be a hands-on interactive course and will utilise the RStudio Cloud development environment.
In just 1 hour, learn about the field of medical statistics and how it plays a crucial role in developing ground-breaking new medicines, vaccines and healthcare products.
Our annual PSI Medical Statistics Careers Event, will be held online on Wednesday 2nd March 2022. The event will include a live online panel discussion and a virtual exhibition session.
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