Cytel Blog

With only two weeks left for this fabulous year to end, we would like to thank all our blog subscribers and new readers for following and appreciating the Cytel blog. This year, we collaborated with several experts from both within and outside the company to bring to you a range of interesting topics including real-world evidence, AI, challenges in rare diseases, patient-reported outcomes, data management, and our popular series “The Good Data Submission Doctor” and “Career Perspectives”. In this blog, we share with you the top 5 Cytel blogs that resonated most with our community in 2019.

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PhUSE EU Connect 2019 was held in the beautiful city of Amsterdam between the 10th and 13th of November. This clinical data science conference comprised 19 Streams, including 150 papers, 24 posters and 3 engaging data scientists as keynote speakers. The event was well attended and had several interesting and innovative presentations. Caroline Terrill, Associate Director of Statistical Programming at Cytel UK, conducted a session “No Place Like Home: Managing Remote Programmers Remotely” and stood out as the winner in the Personnel Management category. Based on 5 years' experience of managing remote programmers, Caroline’s paper gives guidance on issues to be considered and traps to be avoided if you are managing people who work remotely.

In this blog, we share the presentations from our Statistical Programmers and summarize some of the sessions that our team members attended.

 
October 3, 2019 was an important day for the ADaM team as it marked the release of the ADaM Implementation Guidance (Ig) 1.2. Download the new guidance from the CDISC website here.

In 2018, several previews of the new Ig were made at CDISC Interchanges all around the world and at PhUSE conferences, it was only a few weeks ago that the final version was released. At first glance, the new Ig does not seem to contain a lot of new concepts and ideas. However, a critical and in-depth review clearly shows the efforts of the entire team to release this new Ig. Creating a new standard or releasing a new version of an existing standard is not an easy job. You need to ensure that you do not introduce anything that contradicts any of the existing CDISC standards. This includes, not only new variables but also any changes in existing sentences or adding entirely new sections that may cause misinterpretations or discrepancies. Moreover, every standard team member comes with their own background, company needs, and specific indication needs. It is not always easy to propose a solution that can satisfy everyone on the team.

In this blog, from our career perspectives series,  we talk with Jayshree Garade Associate Director, Statistical Programming about her truly global career path at Cytel.  Jayshree completed her Masters degree in 2006 and began her professional career with Cytel in Pune India. In the years to follow she supported high profile trials for a number of sponsors, before transferring to our offices in Massachusetts USA. She is currently leading a programming team, working remotely from her North Carolina home.  Read on to learn more about life and opportunities at Cytel. 

QPP remains at the heart of model based drug development. Short for Quantitative Pharmacology & Pharmacometrics, it refers to several types of quantitative modeling including meta-analysis, PK/PD, statistical modeling and the modeling of go-no-go decision rules. Cytel’s expert Quantitative Pharmacology and Pharmacometrics group delivers high quality solutions to help our customers get those decisions right.

In this blog we talk to Tina who lives in Stonington, Connecticut, to find out more about her career path, current role at Cytel, and her interests outside of work.

PhUSE EU Connect 2018 took place in Germany’s financial capital Frankfurt, 4th - 7th November and brought together a range of experts to tackle the most pressing issues facing statistical programmers today. The agenda was superb with 143 presentations in 16 different streams and nearly 30 posters. This year’s event theme ‘Future Forward’ did not disappoint and there were some very thought-provoking talks on the drug development industry's challenges and  what we can do in the future to meet these challenges. Additional hot topics were: Analytical Risk Based Monitoring, Machine Learning, and Data Standards and Governance. We found this year's event informative and well attended. 

In this blog, we share the contributed posters and presentations from our Statistical Programmers and summarize some of the particular highlights from the sessions and posters that our team members attended.