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

PSI Webinar: Risk Based Monitoring & QTL's

Since the introductio of ICH-E6 R2 Addendum sponsors must introduce formal Quality Risk Management and define Quality Tolerance Limits to their clnical development programs. This webinar will cover an introduction to those concepts, recent developments and examples of how companies are defining QTL's in practice.

PSI Webinar: Innovative approaches in the development of pediatric medicines

Do you want to learn more about innovative approaches for the development of pediatric medicines? Then join this PSI webinar on December 8. We have organized an exciting webinar with very knowledgeable speakers who will share their thoughts, ideas and experiences, including case studies, on a range of issues relating to historical data, Bayesian methodology, and partial and full extrapolation approaches in the context of developing pediatric medicines.

PSI Vaccine SIG Webinar: Some considerations on developing COVID-19 Vaccines

Statistical Observations on SARS-CoV-2 & Crisis Vaccine Clinical Testing. Scott Patterson, Bo Fu, Ya Meng, Fabrice Bailleux, Josh Chen.

PSI EIWG Webinar: PIONEERing estimands in Clinical Research

Bringing estimands to life through a real case study. Members of the estimands Implementation Working Group (EIWG) will describe the background and study objectives, intercurrent events of interest and chosen estimands in the PIONEER study.

PSI Medical Statistics Careers Event

Our annual PSI Medical Statistics Careers Event, will be held online using the Career Fair Plus app on Wednesday 3rd March 2021. The event will include a live online panel discussion and a virtual exhibition session.

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