PSI VIS SIG Webinar: Collaborative & Exploratory Data Analysis

PSI Mentoring 2025

Date: Ongoing 6 month cycle beginning late April/early May 2024 Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.

PSI Training Course: Mixed Models and Repeated Measures

This course is presented through lectures and practical sessions using SAS code. It is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models.

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 Career Young Virtual Event (Q1 2025)

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 Estimand Online Training (4 Day Workshop)

This is an interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.

Maths Meets Medicine: Exploring Careers in the Pharmaceutical Industry

This session will showcase how careers in pharmaceutical statistics can be both rewarding and impactful, with a focus on how mathematics is integral to the development of medicines. Students will hear from industry experts, explore diverse career paths, and learn why continuing to study math is key to unlocking exciting opportunities in the healthcare sector.

Dissolution Testing: Time for Statistical (r)Evolution

Webinar dedicated to the topic of dissolution of oral solid dosage forms; opportunity to hear from statisticians working in the CMC field, with open question and answers. In addition, the CMC Statistical Network Europe special interest group will discuss advocacy opportunities, have your say to contribute to the future direction.

PSI Career Young Virtual Event (Q2 2025)

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 Career Young Virtual Event (Q3 2025)

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 Career Young Virtual Event (Q4 2025)

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

Speaker	Biography
Mike Freeman Observable	Mike Freeman, Data Visualisation Developer, Observable. Mike Freeman is a Data Visualisation Developer at Observable where he works to make data visualisation more accessible, equitable and impactful. He was previously a professor at the University of Washington Information School, where he taught courses in data science, interactive data visualisation and web development. He is also the co-author of Programming Skills for Data Science.

Speaker	Biography
Mike Freeman Observable	Mike Freeman, Data Visualisation Developer, Observable. Mike Freeman is a Data Visualisation Developer at Observable where he works to make data visualisation more accessible, equitable and impactful. He was previously a professor at the University of Washington Information School, where he taught courses in data science, interactive data visualisation and web development. He is also the co-author of Programming Skills for Data Science.

Speaker	Biography
Mike Freeman Observable	Mike Freeman, Data Visualisation Developer, Observable. Mike Freeman is a Data Visualisation Developer at Observable where he works to make data visualisation more accessible, equitable and impactful. He was previously a professor at the University of Washington Information School, where he taught courses in data science, interactive data visualisation and web development. He is also the co-author of Programming Skills for Data Science.

Speaker	Biography
Mike Freeman Observable	Mike Freeman, Data Visualisation Developer, Observable. Mike Freeman is a Data Visualisation Developer at Observable where he works to make data visualisation more accessible, equitable and impactful. He was previously a professor at the University of Washington Information School, where he taught courses in data science, interactive data visualisation and web development. He is also the co-author of Programming Skills for Data Science.

Speaker	Biography
Mike Freeman Observable	Mike Freeman, Data Visualisation Developer, Observable. Mike Freeman is a Data Visualisation Developer at Observable where he works to make data visualisation more accessible, equitable and impactful. He was previously a professor at the University of Washington Information School, where he taught courses in data science, interactive data visualisation and web development. He is also the co-author of Programming Skills for Data Science.

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