The COVID-19 pandemic has put pharmaceutical research firmly into the spotlight, with the urgent need to develop new therapies, tests, and vaccines. For those outside the industry, hearing announcements in the mainstream media, it is not always easy to understand the intensity of the work and collaboration that fuels game-changing new developments.
However, we know that there are thousands of ‘unsung heroes’ around the world, working in different capacities on different clinical trials to make the breakthrough. It has been a herculean collective effort. Of course, while this is a particularly high stakes situation, seeing an impact on patients’ lives motivates us no matter the therapeutic area. In this podcast, I interview Nancy Carpenter, a Principal Statistician at Veramed who has worked extensively on COVID-19 trials over the last several months.
Our wide-ranging discussion covers:
- Her experience of working on COVID-19 trials
- How patient stories inspire her
- How we balance risks and manage the impact of COVID-19 on other clinical trials
- How a role in pharma provides meaning and fulfilment
- How the pandemic has increased public interest in the pharmaceutical industry
Listen to this episode now and share this to your friends and colleagues!
Never miss an episode!
Join thousends of your peers and subscribe to get our latest updates by email!
Get the
Learn on demand
Click on the button to see our Teachble Inc. cources.
Featured courses
Click on the button to see our Teachble Inc. cources.
Nancy Carpenter
Nancy has been working in the Pharma industry for over 20 years. She has worked in both Pharma and CROs in both contract and permanent roles. She is currently working at Veramed – a CRO specialising in biometrics, where she provides statistical consultancy services to several smaller Pharma companies and leading the statistics side of several reporting projects.
Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
