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). Keen to join us? Download our SIG overview: PSI Data Science SIG.

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 HennegesSyneos Health

Domingo Salazar

(former Chair)

AstraZeneca
Federico ConcasGSK
Imran HossainCytel
Jennifer BradfordPhastar

Julia Chernova (current chair)

Bayer
Julie RusselBayer
Milan GeybelsNovo Nordisk
Peter KruscheNovartis
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:

PSI Data Science SIG - Overview

Upcoming Events:

No upcoming events at this time.

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Upcoming Events

Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars

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 Webinar: Drug Development in Women's Health

The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.

PSI Webinar: Surrogacy

This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.

Joint PSI/EFSPI Pre-Clinical SIG Webinar: Virtual Control Groups in Toxicity Studies

Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.

Joint PSI/EFSPI Data Science SIG Webinar: Developing Digital Measures (Digital Biomarkers) in Drug Development – insights from Mobilise D consortium

We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.

PSI Career Young Virtual Event (Q2 2024)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Webinar: Development of Gene Therapies: Strategic, Scientific, Regulatory and Access Considerations

This webinar will cover the history of cell/gene therapy, major regulatory advances, the role of quantitative scientists in drug development of these novel therapeutics, and discuss opportunities for innovation and product advancement.

PSI Career Young Virtual Event (Q3 2024)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Introduction to Industry Training (ITIT) Course - 2024/2025

An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.

PSI Career Young Virtual Event (Q4 2024)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

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Statistician, Data Science

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