Data Science SIG

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).

Purpose

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.

Objectives

As a group, our focus is on;
• Collaboration with various communities across industry to bring medicines to patients faster and applying Data Science tools where appropriate.
• Increasing awareness of Data Science tools and challenges in wider pharma community.
• Increasing understanding and sharing on how to work with and maximise added value of various new types of data, data sources and databases.
• Increasing understanding and sharing on how to work with regulatory bodies such as EMA, FDA and various HTA agencies in the context of DS.
• Discussing, developing and sharing methodology and applications of various advanced statistical, machine learning, artificial intelligence, computer science and data-driven optimization methods for inference and predictions in various phases and functions of R&D including diagnostics and operations.
• Discussing, developing and sharing analysis and utilisation of new type of data, for example:
   - High frequency data from mobile devices
   - Imaging data
   - Unstructured data
   - High and very-high dimensional data
   - Real World Data
• Promoting insights into new development in the areas of software, programming languages and handy tools.
• Collaborating with other SIG groups in the areas of mutual interests.


Who we are

NameCompany/Institution
Carsten Henneges 
Domingo SalazarAstraZeneca
Federico ConcasGSK
Imran HossainCytel
Ivan NavarroCytel
Jennifer BradfordPhastar
Julia Chernova (Chair)Bayer
Michelle JonesCovance
Peter KruscheNovartis
Steve JonesCovance
Vlad AnisimovAmgen

 

How to get in touch

If you are interested in contributing to the DS SIG, please get in touch with Julia Chernova.

Resources:

 

Upcoming Events:

No upcoming events at this time.

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Upcoming Events

Introduction To Industry Training Course 2020

The ITIT course will take 25 delegates new to the industry on a complete drug development experience from discovery to marketing. They will visit 6 companies to learn about 6 topics from experts in their field. The ITIT course will have 3 sessions in continental Europe and 3 sessions in the UK. The start of the 2020-2021 course will be delayed until face-to-face meetings with up to 30 people are permitted and companies are allowing travel again.

PSI Webinar: Patient preference studies

In this webinar you will hear an introduction to what a patient preference study is as well as an overview of where this type of study can inform regulatory decision making. This will be followed by 2 examples looking at potential approaches to eliciting patient preference.

PSI Vaccine SIG Webinar: Statistical Topics on COVID-19 Therapeutic and Vaccine Clinical Trials

We are delighted to be joined by Frank Harrell who will present 'Sequential Bayesian Designs for Rapid Learning in COVID-19 Therapeutic Trials'; and also by Dean Follmann, who will present on 'Statistical Aspects of COVID-19 Vaccine Trials'. Join us for this insightful and highly topical webinar.

Joint PSI, EFSPI & ASA BIOP Webinar: Estimands

PSI, the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI) and the Biopharmaceutical Section of the American Statistical Association (ASA) are jointly organising a webinar on Estimands in Practice. Speakers from regulatory authorities (FDA and EMA) and industry will present on their experience on this topic to date.

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