Clinical Biometrics Survey Reveals Industry Challenges and Trends

March 29, 2018



To mark the occasion of our 30th anniversary, in late 2017 we conducted a brief survey to gain a snapshot of what professionals in data management, statistical programming, and biostatistics feel are the key challenges facing their functions, the top areas for skills development, and the clinical data areas they believe are likely to have the greatest impact on drug development.

We are now able to share our findings- read on for some highlights, and to download your complimentary copy of the report.

The survey was intended as a qualitative pulse check, and we have gained some valuable insights into the opinions of the particular group who responded.  Along with demographic information (company, years of experience, and function), our respondents were asked to answer specific questions about:

Challenges faced by their function today 

The areas of skills development most needed in their functions today

The most important technologies and techniques

The developments related to their functional work that they believe will have the most impact on clinical trials

Below we have summarized a few highlights, or download your complimentary copy of the report now via the button below.




Workload is a challenge across the board
All segments were in agreement that increasing workload/tight timelines, and increased complexity of clinical trials were key challenges facing their roles today.

This speaks clearly to the ongoing need for tools and software to optimize trial design and analysis, as well as efficient services for sponsor organizations.  The increased complexity of clinical trials requires specialist knowledge not only in biostatistics, but also within data management and statistical programming functions.


SAS wears the crown, but R is well used


It wasn't surprising to see statistical programming responses point to a widespread use of SAS. But it was encouraging to note that 25% of statistical programming respondents cited a regular use of R language. At Cytel, many of our biostatisticians and programmers are R users and value its flexibility, interactivity and ability to create compelling visualizations. Click here for Cytel R Resources





Innovative trial designs are key for data managers as well as statisticians 

bis2017-TopSkillsBreakout-cdm-01.pngIn terms of skills development, it was very interesting to note that 70% of clinical data management respondents highlighted innovative trial design implementation as critical skills development.  In our experience, adaptive and innovative trials can bring added complexity, and therefore, the  clinical data manager needs to be able to handle the additional data, communication and project management demands.


Click the button to download your complimentary copy of the report for further insights and trends.