Roche Predictive Modeling and Data Analytics Summer School 2025

In a hurry? Here is the essential information in one A4 page.

Table of Contents

• Important information in a nutshell
• Introduction
• Topic
• Application

Important information in a nutshell

• Event: Roche PMDA Summer School 2025
• Date: 4th-8th of August, 2025
• Location: Roche Innovation Center Basel, Grenzacherstrasse 124, F.Hoffmann La-Roche Ltd. In-person only, no virtual option
• Eligibility: PhD students or master’s students with exceptional qualifications and relevant backgrounds enrolled in a Swiss university are eligible to apply. Students from EU or UK universities may be considered if there are remaining positions.
• Topic: Leveraging protein abundance for drug discovery (more details follow)
• Daily working time: 8:30-17:30 with a lunch break
• Working language: English
• Cost: Free. Insurance and accommodation is the responsibility of the participants.
• Timeline: Registration is open between 21st of May and 13th of June 2025. The decision will be shortly announced after that.
• Registration: Please use this Google Form to register for PMDA Summer School 2025 (a Google account is required for registration).
• Contact: jitao_david.zhang (at) roche (dot) com

Introduction

Roche PMDA Summer School is a one-week in-person event for PhD students to apply their data analysis and modelling skills to address problems in drug discovery and development.

The event is organized and sponsored by the Data and Analytics department, part of the Computational Sciences Center of Excellence of Roche, and the Predictive Modeling (PM) chapter in the department of Pharmaceutical Sciences, residing in the Pharma Research and Early Development division of F. Hoffmann-La Roche Ltd. Both teams develop and apply data analysis and predictive modelling tools to support the whole value chain of drug discovery from target assessment to product launch.

Topic

The topic of the PMDA Summer School 2025 will be Leveraging protein abundance for drug discovery. The participants will work in teams to analyze and model data and integrate prior knowledge in order to model protein abundance data, which plays an important role in several aspects of drug discovery, as well as to improve our understanding of advantages and limitations of existing data resources. More details shall follow.

Application

We welcome Ph.D. students of Swiss universities with backgrounds in mathematics, statistics, data science, computing sciences, machine learning and AI, physics, chemistry, biology and relevant backgrounds to apply.

If remaining positions are available, applications from PhD students enrolled in EU or UK universities and institutes, as well as master students enrolled in Swiss, EU or UK universities with outstanding qualifications may be considered in a case-by-case manner.

The applicants are expected to bring experience in data analysis and modelling (for instance statistical modeling, machine learning and artificial intelligence, mechanistic modeling, or causal inference), as well as enthusiasm in applying the skills to solve real-world problems in drug discovery.

Use this Google Form to apply until Friday, June 13th, 2025. To register, you need a Google account. During the application, you will need to submit a cover letter and your current CV as a PDF file. You can also provide up to two contact persons as your reference optionally.

Please contact jitao_david.zhang (at) roche (dot) com in case of questions.