Introducing
Chief Data Scientific Officer
Kim is Chief Data Scientific Officer at Exploristics and has over 15 years’ experience in the pharmaceutical industry working as a project statistician across multiple therapeutic areas in early development.
With a BSc in Mathematics from Bath University and an MPhil in Statistical Sciences from Cambridge University, Kim worked for many years at GlaxoSmithKline before joining Exploristics. There, she championed new approaches to decision-making in clinical development through initiatives developing and promoting innovative designs and novel statistical methodology including futility analyses, predictive inference, prior elicitation, and assurance.
During her time at GSK, she spent 2 years in the strategy and portfolio management group as a statistics and mathematical modeling director where she brought statistical rigor to the team and advanced the use of statistical methods in the wider analytical space. As part of this role, she drove the use of statistical prediction for decision-making at a strategic level through the leadership of the development of a new “Fill and Flow” model. She also has experience supporting teams to assess and quantify the Probability of Technical and Registrational Success (PTRS) of compounds across drug development.
Kim is an active member of PSI and is currently Careers Director there leading initiatives to promote the industry to school and university students as well as supporting members working in the industry with continued professional development.
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Get the
Small Pond Big Fish
with Kimberley Hacquoil
What makes a statistician more valuable to an organization?
How does a statistician’s work culture differ from working in a large company to working with a smaller organization?
Would statisticians be able to bring more value to their work, especially when working with smaller companies?
When the term “statistician” comes to mind, it is easy to picture a person who sits for hours behind a desk working with numbers and mathematical analysis. However, there is something more to statisticians than what meets the eye. More than just the expectation of a person being a brilliant person who understands numbers better than the average individual. The truth is, that statisticians are the ones who can bring change to the table, especially because they know what the numbers are telling them. In this episode, Kim and I talk about how statisticians become the big fish in a small pond when they work with smaller organizations.
Here are some key learnings you may be interested in as you listen through this episode:
- Statisticians’ contributions to change increase when they get involved with smaller crowds.
- Statisticians working with smaller groups or agencies are required to develop better communication skills so they can easily collaborate with their teams and their superiors and drive goals toward extensive development.
- Effective leadership is a must for statisticians who become a part of smaller entities because they get involved in decision-making procedures more actively.
- Statisticians who want to transfer from larger entities to smaller ones should be prepared to take on distinct huge responsibilities.
Listen to this episode and share this with your friends and colleagues!
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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.
