Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Scientific Meetings
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Training Courses
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Journal Club
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Webinars
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Careers Meetings
PSI Pre-Clinical SIG Webinar: Adjusting Experimental & Statistical Approaches throughout Preclinical development pathways
Date: Tuesday 24th October 2023 Time: 14:00-15:00 BST | 15:00-16:00 CEST Speaker: PD Dr. Ulf Tölch (Berlin Institute of Health)
Who is this event intended for? Statisticians in Pharmaceutical Industry. What is the benefit of attending? Learning how to enhance efficient evidence generation of preclinical experiments.
Registration
Registration for this webinar is free to both Members of PSI and Non-Members.
Please click here to register.
Overview
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Abstract The ultimate goal of preclinical research is to identify interventions that can be tested in clinical settings. Whereas safety and toxicity testing are highly regulated, efficacy testing is often variable consisting of several iterative experimental steps. Consequently, experimental design and statistical testing have to be adopted to the goals of each experiment. Additional factors like available resources, already collected evidence, and maturity of the project need to be considered as well. The ultimate goal is to efficiently identify effective interventions. Here, I present a framework to systematically adjust validity and reliability in preclinical experiments to foster efficient evidence generation. To illustrate this approach, I will present examples from our consultation project within the Berlin Institute of Health and on the national level for multicenter preclinical studies.
Speaker details
Speaker
Biography
PD Dr. Ulf Tölch
Ulf Tölch obtained his PhD in biology at LMU Munich. His research includes cognitive neuroscience, quantitative methods and statistical modelling of decision making. He currently serves as a research group leader at BIH QUEST Center for Responsible Research at Charité Universitätsmedizin. His research team explores robust methodological approaches in preclinical settings to inform and improve research decisions.
Upcoming Events
PSI Introduction to Industry Training (ITIT) Course - 2026/2027
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This webinar brings together three bitesize complementary sessions to help PSI contributors create conference presentations and posters that communicate clearly and inclusively. Participants will explore how to refine their message, prepare materials effectively, and adopt practical habits that support confident, accessible delivery. A focused, supportive session designed to elevate every contribution.
Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “Graphics Basics,” will introduce the fundamentals of producing graphics using the ggplot2 package.
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.
Join our Health Technology Assessment (HTA) European Special Interest Group (ESIG) for a webinar on the strategic role of statisticians in the Joint Clinical Assessment (JCA). The introduction of the JCA marks a new era for evidence generation and market access in Europe. As HTA requirements become more harmonized and methodologically demanding, the role of statisticians has evolved far beyond data analysis. Today, statistical expertise is central to shaping clinical development strategies, designing robust comparative evidence, and ensuring that submissions withstand the scrutiny of EU-level assessors. In this webinar, we explore how statisticians contribute strategically to successful JCA outcomes.
Statisticians in the Age of AI: On Route to Strategic Partnership
A 90-minute webinar featuring two case studies from Bayer and Roche demonstrating how statisticians successfully integrated into AI programs, followed by interactive discussion on strategies for elevating statistical expertise in the AI era.
Enhancing Clinical Study Reporting with the Estimand Framework
Join us for an insightful webinar where we explore practical strategies for applying the estimand framework in clinical study reporting. Drawing on real-world experiences and case studies, we will share recommendations to help you:
• Understand the role of estimands in improving transparency and interpretation of trial results.
• Navigate common challenges in implementing the framework during reporting.
• Apply best practices to enhance regulatory submissions, webposting in public registries (clinicaltrials.gov/CTIS), and scientific publications.
Whether you are involved in clinical trial design, data analysis, or regulatory submissions, this session will provide actionable guidance to realize the full potential of the estimand framework.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
GSK - Statistics Director - Vaccines and Infectious Disease
We are seeking an experienced and visionary Statistics Director to join our Team and lead strategic statistical innovation across GSK’s Vaccines and Infectious Disease portfolio.
As a Senior Biostatistician I at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
As a Statistical Scientist at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
We have an exciting opportunity for an Associate Director, Biostatistics to join a passionate team within Advanced Quantitative Sciences – Full Development.
: We have an exciting opportunity for an Associate Director (AD), Statistical Programming, to join a passionate team within Advanced Quantitative Sciences- Development.
Novartis - Senior Principal Statistical Programmer
We have an exciting opportunity for a Senior Principal Statistical Programmer, to join a passionate team within Advanced Quantitative Sciences – Development.
Pierre Fabre - Clinical Development Safety Statistics Expert M/F
We are seeking a highly skilled and proactive Clinical Development Safety Statistics Expert to join our Biometry Department and the Biometry Leadership Team based in Toulouse (31, Oncopole) or Boulogne (92).
Pierre Fabre - Lead Statistician – Real World Evidence -CDI- M/F
Pierre Fabre Laboratories are hiring a highly skilled and experienced Lead Statistician – Real World Evidence (RWE) to join the Biometry Department, part of the Data Science & Biometry Department, based in Toulouse (Oncopôle) or Boulogne.
Pierre Fabre - Lead Statistician- Clinical Trials M/F
We are seeking a highly skilled and experienced Lead Statistician in Clinical Trials to join our Biometry Department based in Toulouse (31, Oncopole) or Boulogne (92).
We are looking for Senior Statistical Programmers in the UK to join Veramed, where you'll deliver high-impact programming solutions in an FSP-style capacity, while advancing your career in a supportive, growth-driven environment.