Event

PSI Career Young Event - October 2025

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Date:
Friday 3rd October 2025
Time: 11:00 - 17:00 BST
Location: Imperial College London, White City Campus, 80–92 Wood Lane, W12 0BZ, London, United Kingdom

Who is this event intended for?: Early careers, apprentices and PhD students.

What is the benefit of attending?

Attending this event offers a valuable opportunity to network with fellow early-career statisticians and professionals from both academia and industry. You'll gain insights into diverse career paths as a medical statistician, enhance your knowledge of current hot topics—such as estimands—and develop key skills relevant to the field. Additionally, there may also be a chance to showcase your research or recent projects in a poster session, receive constructive feedback, and exchange knowledge with peers.

Overview

The event is planned to take place on the 3rd of October at Imperial’s White City Campus in London, UK. It is planned to be a whole day event starting at 11am and going on till 4/5pm. Lunch will be provided. 

Planned Agenda:
11am-12pm: Statistics-themed ice breaker(s)
12pm-1pm: Lunch
1pm-2pm: Estimand workshop
2pm-3pm: Careers Panel
3pm-4pm: Poster session 
4pm – late: proposed afterwork networking event at Westfield

This one-day event is tailored for early-career medical statisticians, including graduate students and PhD candidates or those in the first few years of their career, seeking to expand their professional network and explore future career pathways. The morning will be dedicated to networking activities, providing attendees with the opportunity to connect with peers and professionals from both academia and industry.
The afternoon program features a variety of talks and workshops, including a panel discussion on careers in medical statistics, where speakers will share their experiences and answer any questions attendees may have. A hands-on statistical workshop will address a current important topic in the medical statistics field—estimands—offering attendees the chance to upskill and gain practical experience on how estimands are applied in real-world clinical trial settings. 

Cost

PSI Members - £10 +VAT
Non-Members - £10 +VAT

Registration

To register for this event, please click here.

Poster Session - sign up

If you wish to sign up to present a poster please email Lucia and Charlotte directly at lucia.x.poyatosbaena@gsk.com and charlotte.chrispin@astrazeneca.com

Speaker Details

Speaker

Biography

Abstract


Judith
Judith Anzures-Cabrera, Roche

Judith, a statistician with 17 years at Roche, has worked on several therapeutic areas, focusing on Parkinson's Disease since 2019. Judith represents Roche at the Estimands Implementation Working Group where she has supported the implementation of the “Estimands Academy for Trial Teams”. Prior to Roche, she worked at the MRC Biostatistics Unit in Cambridge and obtained her PhD from the University of Warwick.

Unmasking Estimands: A Hands-On Workshop for Curious Statisticians

Are you a young statistician navigating the exciting world of clinical trials in the pharmaceutical industry? Curious about the buzzword "estimand" and how it could make or break your study? Join us for an engaging and interactive session where we’ll crack open the estimand framework, unravel its importance, and explore how it influences clinical trial design. You'll dive into a real-world example that brings estimands to life, and roll up your sleeves to brainstorm the right questions to ask a Clinical Scientist based on specific trial objectives. As a bonus, you’ll hear how my favorite soup links to the estimand framework in the most unexpected way. Curious? Come along to find out!
Lizzi
Lizzi Pitt, GSK

 

Lizzi’s interest in the pharmaceutical industry started with a placement year during her maths and stats degree at Bath; Lizzi spent the year in a pre-clinical statistics group at Pfizer. She continued at Bath, joining the SAMBa doctoral training centre (Statistical Applied Mathematics at Bath). This consisted of an MRes followed by a PhD and appealed to her because it had a strong focus on industry collaboration. Lizzi’s PhD topic was optimising first in human trial designs. During her studies she undertook several summer placements, at UCB, Roche and a data science consultancy which greatly improved her R skills. After a brief post-doctoral position, Lizzi joined the statistical innovation group at UCB. Just under three years later she moved to a similar role at GSK, where she’s currently working. Lizzi has been volunteering within PSI Careers since 2021 and currently chairs the universities section.

Ellie
Ellie van Vogt, Imperial Clinical Trials Unit (ICTU)

 

Ellie is a current NIHR Doctoral Fellow at Imperial College London, researching the use of causal machine learning for analysing heterogeneous treatment effects (HTEs) in randomised clinical trials (RCTs). They are interested in understanding how and when causal machine learning can be used in RCTs, how these methods extend to competing risks analyses, and how HTE results can be validated within adaptive RCTs.

Ellie studied mathematics at Oxford University (2017-20), during which they completed a statistical research methods internship at Imperial Clinical Trials Unit (ICTU). Funded by an NIHR pre-doctoral fellowship (2020-22), Ellie completed an MSc in Health Data Analytics and Machine Learning at Imperial College London and then researched methods for estimating HTEs in critical care trials at ICTU. Before starting their PhD in 2023, Ellie worked as a network meta-analysis statistician at Imperial, and as a research assistant in machine learning for clinical trials collaboration with the Alan Turing Institute and MRC Clinical Trials Unit. During their PhD, Ellie has undertaken an internship at Novartis in Basel, Switzerland, in the advanced methodology and data science team, investigating HTE model selection techniques for RCTs.

 

 

JemmaJemma Greenin, Veramed

Jemma Greenin is a Senior Statistician II with a strong foundation in pharmaceutical statistics and early-phase clinical research. She began her journey at the University of Bath, completing a placement year at Eli Lilly where she joined the PSI CALC team. Following this, she earned a Master’s degree from the London School of Hygiene & Tropical Medicine and went on to join Veramed. At Veramed, Jemma works across a range of therapeutic areas in Early Phase studies and actively contributes to the PSI Careers Young Statisticians group, having previously lead the group.


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